Public report — llama_index, published 7 Aug 2026. Concrete security findings (CVE IDs, secret matches, dependency versions) are hidden in this version; ask the repo owner for the full report.
Watchdog 07-08-2026 @ 05:49 UTC Public
Code Health Audit

Run-Llama/llama_Index

29% Weak
CriticalWeakAdequateStrongExemplary
lower third — near Critical

Hobby · weakest lens: Readiness (16%)

Grounded in facts. Every number here is computed, not narrated — reproducible, tool-backed, and traceable to a line of code. How to trust this ▸

42/43dimensions tool-verifieddeterministic · confidence 1.0 · 1 LLM-assisted, advisory
180findings with an exact file:lineof 192 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
43/108dimensions across the health lenses — wide & deep

Executive summary

Read through the Production lens — the standard calibration. *Green* means good enough to run in production. The score is absolute and comparable across repos.

run-llama/llama_index carries serious gaps (29%). Several issues below can materially affect correctness, security, or the cost of changing it — and propagate to everything that depends on it.

It is strongest in Architecture (96%) — the structure is clean and changes stay contained.

The area that most needs attention is Readiness (16%) — releases are harder to depend on — versioning, release notes and dependency hygiene are thin, so consumers can't easily tell what changed or trust an upgrade. Code Health (20%) is the next concern — changes there are slower and more error-prone.

Leadership focus, highest impact first: 1 No tests found finding(s) in Test Distribution (Test Distribution); ILogger (or Serilog) and log at meaningful points across… (Observability); Codify backups + geo-recovery in IaC and document RTO/RPO… (DR & Backup).

For scale: Hobby (~0 production lines); rebuilding it from scratch would take roughly ~0.8 person-years (~1–2 engineers). Approximate, ±~30%.

It builds on a genuinely strong Architecture foundation (96%); the priorities above are the highest-leverage way to bring the rest up to that level.

How the score is built — each lens's share of the headline Width is the lens's weight in the worst-heaviest fold (the weakest area pulls hardest); colour is that lens's own band. A lens fixes the score in proportion to its width.
Readiness 16% · 46% weightCode Health 20% · 25% weightMaturity 53% · 14% weightSecurity 56% · 8% weightDomain Modelling 57% · 4% weightArchitecture 96% · 2% weight

Raise Readiness 16 → 70 (the Healthy floor) ⇒ headline 29 → ~40.

Code composition — where the lines go
Tests 100%

Top priorities

The highest-leverage moves; the full ranked list is in the Roadmap below.

1
Resolve the 1 No tests found finding(s) in Test Distribution.
+12.6 pts · Low effort · Test Distribution
2
Adopt ILogger (or Serilog) and log at meaningful points across the projects.
+12.6 pts · Medium effort · Observability
3
Codify backups + geo-recovery in IaC and document RTO/RPO and the restore procedure — a persistence guard alone is not disaster recovery.
+12.6 pts · Medium effort · DR & Backup

Diagnosis — what's actually going on

Highest-leverage move · Medium · Leverage
Of everything flagged, the best return on effort is: Resolve the 1 No tests found finding(s) in Test Distribution. The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ Resolve the 1 No tests found finding(s) in Test Distribution.

At a glance — Code Health · 20% · Critical · gated by D3, D4, R1, R2, R3, R7

At a glance — Architecture · 96% · Exemplary

At a glance — Maturity · 53% · Adequate · gated by M2

At a glance — Readiness · 16% · Critical · gated by D9, R4, R6, P2, P5

At a glance — Security · 56% · Adequate · gated by D28, D36

At a glance — Domain Modelling · 57% · Adequate · gated by DM4, DM5

Security & Compliance — OWASP Top-10 mapping

Findings mapped to OWASP categories; the specific CVEs/secrets are in the Security dimension cards below and findings.md (redacted only on the public version of this report).

OWASP categoryFindingsSeverity
A02:2021 — Cryptographic Failures50High / Critical

Roadmap

First, address the single missing test in the Test Distribution to ensure comprehensive coverage. Next, implement structured logging using ILogger or Serilog across all projects to improve observability. Then, formalize disaster recovery by codifying backups and geo-recovery in infrastructure as code, explicitly documenting RTO/RPO and restore procedures. After that, expand test coverage by adding tests for currently unreached production modules. Finally, integrate essential tooling, including eslint, tsc, and linting, into package.json scripts and CI pipelines.

Ranked by impact ÷ effort. "Helps" is the estimated gain on the 0–100 health score.

Do thisHelpsEffortDimension
Resolve the 1 No tests found finding(s) in Test Distribution.+12.6 ptsLowTest Distribution
Adopt ILogger (or Serilog) and log at meaningful points across the projects.+12.6 ptsMediumObservability
Codify backups + geo-recovery in IaC and document RTO/RPO and the restore procedure — a persistence guard alone is not disaster recovery.+12.6 ptsMediumDR & Backup
Add tests that import the unreached modules (directly or through their public entry).+12.6 ptsMediumTest Coverage
Add the missing tooling (eslint, tsc) as package.json scripts and run them in CI.+12.6 ptsMediumTooling
Stamp a version (csproj <Version>, a VERSION file, or GitVersion) or tag releases with semver so builds and releases are traceable.+11.3 ptsMediumRelease Hygiene
Migrate the remaining .js/.jsx files to TypeScript.+10.6 ptsMediumType Safety
Break down the listed branch-heavy functions; aim P95 cyclomatic ≤ 5.+10.6 ptsMediumCyclomatic Complexity

File quality

Per-file score 0–10 — a quality signature. Of 103 files carrying findings, judged against the Production bar: 0% slop · 56% mixed · 44% near-clean.

FileScoreBandWorst signal
docs/src/content/docs/framework/javascript/algolia.js4.2MixedSecrets (history): Secret: generic-api-key
docs/src/content/docs/framework/_static/js/algolia.js4.2MixedSecrets (history): Secret: generic-api-key
docs/examples/llm/openai.ipynb4.5MixedSecrets (history): Secret: aws-access-token
llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js7.0MixedCyclomatic Complexity: _grabArticle (cyclomatic 96)
llama-index-integrations/llms/llama-index-llms-sambanovasystems/llama_index/llms/sambanovasystems/base.py7.1MixedCode Duplication: Duplicated block (18 lines × 2)
docs/examples/evaluation/RAGChecker.ipynb7.2MixedSecrets (history): Secret: generic-api-key
docs/examples/index_structs/knowledge_graph/2023_Science_Wikipedia_KnowledgeGraph.html7.2MixedSecrets (history): Secret: generic-api-key
docs/examples/llm/azure_openai.ipynb7.2MixedSecrets (history): Secret: aws-access-token
docs/examples/index_structs/knowledge_graph/falkordbgraph_draw.html7.2MixedSecrets (history): Secret: generic-api-key
docs/examples/index_structs/knowledge_graph/kuzugraph_draw.html7.2MixedSecrets (history): Secret: generic-api-key
docs/examples/index_structs/knowledge_graph/nebulagraph_draw.html7.2MixedSecrets (history): Secret: generic-api-key
docs/examples/query_engine/nebulagraph_draw.html7.2MixedSecrets (history): Secret: generic-api-key
docs/examples/query_engine/nebulagraph_draw_quill.html7.2MixedSecrets (history): Secret: generic-api-key
llama-index-integrations/callbacks/llama-index-callbacks-literalai/uv.lock7.2MixedSecrets (history): Secret: square-access-token
llama-index-integrations/callbacks/llama-index-callbacks-langfuse/uv.lock7.2MixedSecrets (history): Secret: square-access-token
llama-index-integrations/embeddings/llama-index-embeddings-alephalpha/uv.lock7.2MixedSecrets (history): Secret: square-access-token
llama-index-integrations/callbacks/llama-index-callbacks-agentops/uv.lock7.2MixedSecrets (history): Secret: square-access-token
llama-index-integrations/embeddings/llama-index-embeddings-adapter/uv.lock7.2MixedSecrets (history): Secret: square-access-token
llama-index-integrations/callbacks/llama-index-callbacks-wandb/uv.lock7.2MixedSecrets (history): Secret: square-access-token
llama-index-integrations/callbacks/llama-index-callbacks-aim/uv.lock7.2MixedSecrets (history): Secret: square-access-token

Methodology & how to trust this report

Watchdog is a deep, periodic assessment — run each sprint, monthly, or quarterly, taking the time to go wider and deeper than a quick check and surfacing in one coherent report what you'd otherwise piece together from a dozen separate tools. It scores deterministically: the same commit yields the same score, every run. 42 of 43 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 1 documentation/naming judgement(s) are LLM-assisted and labelled advisory. Overall confidence is 0.5 — the weighted average across measured dimensions; it falls as more of the score leans on LLM-assisted judgement and rises when it's fully tool-backed.

Every figure here is one of three kinds, and we label which: ✓ Measured — a deterministic fact (LoC, complexity, coverage); ~ Modeled — an estimate from a stated model (cost, effort, value-at-risk), always a range with its assumptions, never a precise fact; ◐ Advisory — an LLM prose judgement. We never present a modelled estimate as if it were measured. Perfect or absent scores carry their provenance too (ADR-0011): ✓ Tool-verified means the property itself was measured across the surface; ○ Nothing flagged means the probes came back clean — a claim bounded by what a repository can show; ⊘ Not evidenced means a working control (a tested restore, an automated rollback) showed no positive evidence — absence of evidence is not evidence of a control, so it's excluded from the score rather than awarded a spurious 10; ◐ Sampled · advisory marks an LLM verdict over a bounded sample — advisory, never a deterministic measurement.

What we checked — 43 dimensions across the health lenses
D1D2D3D4D5D9D12D13D21D26D27D28D29D36D37AX5DM1DM4DM5DM6DM8M1M2M3M4P1P2P3P4P5P6R1R10R2R3R4R6R7R8R9X1X3X4

Each chip is a dimension scored from real signals across architecture, testing, dependencies, security & compliance, documentation, git-history and code quality — in one coherent pass. A surface report typically covers a handful.

How to trust any code-health report — three questions
  1. Can you open the finding? Real findings cite a repo-relative file and line you can open at the cited line — never an absolute scratch path. Here, 180 of 192 do; the remainder are repo-wide signals — a dimension-level measurement, not a single line. (Every path in this report is repo-relative by construction: paths are normalized at the producer and the report is rejected if any rooted path leaks through.)
  2. Is there a tool behind the number? Every score below names the method that produced it — Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled · advisory — not a narrative.
  3. Does re-running give the same result? Run it again on the same commit and the score — and this report, byte for byte — is identical. A report whose numbers move between runs is describing the run, not the code.

This report answers yes to all three. That's the bar to hold any assessment to.

Tools & methods

The actual versions used this run (captured at analysis time) — re-run on the same commit for the identical score.

MethodBacksVersionEvaluator
Roslyn static analysisComplexity, cohesion, coupling, dead code, API surface, layering5.3.0✓ deterministic
Native secret scannerHardcoded secrets / credentials1.0.0✓ deterministic
jscpdCode duplication✓ deterministic
Coverage (coverlet / dotnet-coverage)Line & branch coverage10.0.301✓ deterministic
NuGet / dotnetOutdated, vulnerable & deprecated dependencies10.0.301✓ deterministic
git / LibGit2SharpChurn hotspots, knowledge concentration, history2.43.0 · 0.31.0✓ deterministic
gitleaks · semgrep · trivy · checkovSecrets in history, SAST, CVEs, IaC & container, PII / GDPR1.86.0 · 0.69.3✓ deterministic
LLM (sampled · advisory)Documentation quality, ADR conformance, naming — sampled over a bounded sample; advisory, never a deterministic measurementLocal LLM◐ LLM · sampled · advisory

Every finding is locatable in findings.md. Run 019fdac4-d6f1-7040-94b2-47565f1e22ba.

The exact command behind every deep-scan dimension — tool, version, invocation and retained raw output — is in Appendix B — Reproduction & audit trail.

Run transparency — what happened this run

What ran differently this time — a tool absent, degraded, or that fell back to an estimate. Named openly, not folded silently into the scores. A degraded run also records its exact cause in diagnostics.md.

  • D18 Solution Shape — evaluation did not complete — Dimension evaluation failed — excluded from the score.
  • D19 Documentation Quality — LLM provider failed — The model provider returned an unusable result, so this LLM-assisted dimension fell back to a measurement gap (confidence 0) rather than a penalty. Re-run with a reachable provider to score it.
  • D30 Dependency Vulnerabilities — scanner not present in this environment — The backing tool was not installed where this scan ran, so this dimension was not scored. Install the tool (or run in the hosted environment, where it is always present) for a graded result.
  • D31 IaC & Container Security — scanner not present in this environment — The backing tool was not installed where this scan ran, so this dimension was not scored. Install the tool (or run in the hosted environment, where it is always present) for a graded result.
  • D32 Data Compliance (PII/GDPR) — scanner not present in this environment — The backing tool was not installed where this scan ran, so this dimension was not scored. Install the tool (or run in the hosted environment, where it is always present) for a graded result.
  • D33 JS/npm Dependency Vulnerabilities — scanner not present in this environment — The backing tool was not installed where this scan ran, so this dimension was not scored. Install the tool (or run in the hosted environment, where it is always present) for a graded result.
  • D38 OSV Dependency Vulnerabilities — scanner not present in this environment — The backing tool was not installed where this scan ran, so this dimension was not scored. Install the tool (or run in the hosted environment, where it is always present) for a graded result.

Repo exclusion declarations (.gitattributes linguist-generated/vendored, .editorconfig generated_code): none declared — every source file was scored.

Limitations & what we did not check

Watchdog assesses the repository exactly as committed, and only the repository. By design it does not reach outside the source tree: the live cloud account, the running CI/CD pipeline, the host's branch-protection and approval rules, the production configuration, or a restore actually exercised against a backup are all out of scope. That boundary is a feature, not a gap — a repo-relative, deterministic scan re-runs identically on any commit and every finding opens at a real file and line, where a live audit can neither be reproduced nor traced. The visible consequence is that controls which leave no in-repo evidence are reported as "not evidenced" and excluded from the score rather than awarded a number a static scan cannot justify.

Per-dimension blind spots

For each dimension that was measured, what a static, repo-only scan structurally cannot see — the honest edge of the measurement, not a failure of it.

  • D1 Cyclomatic Complexity: Cyclomatic complexity counts branches statically — it cannot tell an essential decision tree from accidental tangle, nor see complexity that lives in data or configuration (large switch-case token tables, DSL lexers/parsers, data-as-code rule tables) rather than control flow: a tokenizer's many single-character cases read as high complexity though each branch is trivial.
  • D2 Cognitive Complexity: Cognitive-complexity heuristics approximate how hard code is to follow; genuine domain difficulty and well-named intent that eases reading are not captured.
  • D3 God Classes: "God class" is sized by members and responsibilities visible in the type — a deliberately broad facade over a coherent subsystem can read the same as an accidental grab-bag. For front-end JS the file-length check is cohesion-aware (a single-responsibility module — one class/IIFE — earns a 3× threshold), but cohesion is approximated from top-level declarations, not true dependency structure.
  • D4 Code Duplication: Duplication is token-similarity (jscpd) — it finds copy-paste, not semantic duplication expressed differently. Committed machine-written code (EF migration scaffolds, *.Designer.cs, model snapshots) is EXCLUDED — its repetition is the tool's, not the team's — so the score reflects hand-written duplication only; the generated footprint is reported separately under Solution Shape.
  • D5 Coupling: Coupling is measured between projects/assemblies — runtime coupling through DI, reflection, messaging or shared databases is invisible to a static reference graph.
  • D9 Test Distribution: The test-pyramid shape is inferred from project/folder naming and references, with a single test host bucketed per-file by its path tier and content signals — a suite that names tiers unconventionally and gives no per-file signal can still be mis-bucketed.
  • D12 Dependency Hygiene: Dependency health reads manifests and lockfiles — a vulnerability in a vendored/copied dependency, or risk from how a dependency is actually used, is outside this view.
  • D13 Secret Scanning: Secret detection is signature- and entropy-based on the current tree — a secret that does not match a known pattern, or one already rotated, will not be flagged (a clean scan is "nothing matched", not "no secrets exist").
  • D21 Naming Consistency: Naming quality is an LLM judgement over a bounded sample — it assesses clarity/consistency of the names it sees, not domain-correctness, and is advisory.
  • D26 Project Cohesion: Project focus is sized from members/namespaces per project — a project that is broad by deliberate design reads the same as one that has sprawled.
  • D27 Navigability: Indirection/navigability is structural — it measures hops to follow a call, not whether that indirection buys real flexibility or just ceremony.
  • D28 Secrets (history): Secret-history scanning sweeps the git log for known patterns — a secret that predates the available history, or never matched a signature, is not found (clean means "nothing matched in the history we can see").
  • D29 Static Analysis (SAST): SAST findings are pattern-based (semgrep) — it finds classes of bug it has rules for; logic flaws, auth/authorization gaps and issues needing runtime context are out of reach (and clean means "no rule matched").
  • DM4 Rich vs anemic model: Behaviour is detected as state mutation inside a method body — a method that enforces an invariant by validating-and-throwing without mutating reads as a query, and mutation delegated through an interface the scan can't resolve isn't credited; entities with zero public properties still drop out of the population. It detects that state changes, not whether the rule is correct.
  • DM6 Domain ↔ infrastructure boundary: Infrastructure reached through a hand-rolled wrapper, a domain-named facade, reflection, or a string-keyed service locator resolves to a non-infra type and isn't seen; the body scan is symbol resolution over syntax, not full dataflow. A clean result means "no resolved infra reference in a domain body", not a proof of purity.
  • M4 Documentation accuracy: Onboarding quality is an LLM read of the docs/setup present — it cannot run the onboarding or measure how long a real new joiner takes; the verdict is sampled and advisory.
  • P4 Deployment & Rollback: Approval/branch-protection rules live in repository settings the scan cannot see — only their in-repo evidence (config files, workflows) is checked, so a control enforced purely in the host's settings reads as "not evidenced".
  • P5 DR & Backup: Backup/restore and disaster-recovery readiness is judged from in-repo evidence — a config that exists is not a tested restore, so the absence of positive evidence is reported as "not evidenced", never scored as present.
  • P6 Release Hygiene: Rollback/observability controls are inferred from repo artefacts (pipelines, dashboards-as-code) — controls configured in external tooling, with no in-repo trace, cannot be credited.

The LLM boundary

LLM-set scores this run (2): D21, M4 (model: Local LLM). For these, a model reads a bounded sample and sets the numeric score (documentation, ADR quality, naming, comment value, onboarding) — D25 sets the ADR-conformance fraction over sampled code, D22 judges API accuracy over a sample. These are sampled and advisory by design: they vary at the margins between runs and are never a deterministic measurement. Every other score in this report is tool-computed at confidence 1.0.

Dimensions

D1 · Cyclomatic Complexity6.0 / 10Adequate✓ Tool-verified

What it measures: How tangled the control flow is — methods with many branches are hard to test and change.

Method: Cyclomatic complexity per method (1 + decision points), computed exhaustively across production source; test projects separated by convention. Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 6.0 / 10 · rule-coverage 100% · ceiling Prevented

146 method(s) exceeded the cyclomatic complexity threshold of 15; the worst was _grabArticle at 96.

q (cyclomatic 47) · ×2docs/src/content/docs/framework/javascript/algolia.js:450
M (cyclomatic 44) · ×2docs/src/content/docs/framework/javascript/algolia.js:572
D (cyclomatic 43) · ×2docs/src/content/docs/framework/javascript/algolia.js:302
N (cyclomatic 34) · ×2docs/src/content/docs/framework/javascript/algolia.js:408
vnode (cyclomatic 26) · ×2docs/src/content/docs/framework/javascript/algolia.js:1188

+ 10 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

  1. Resolve the 2 q (cyclomatic 47) finding(s) in Cyclomatic Complexity — start with algolia.js (2). — One of this dimension's main actionable groups (2 warning-level).
  2. Resolve the 2 M (cyclomatic 44) finding(s) in Cyclomatic Complexity — start with algolia.js (2). — One of this dimension's main actionable groups (2 warning-level).
  3. Resolve the 2 D (cyclomatic 43) finding(s) in Cyclomatic Complexity — start with algolia.js (2). — One of this dimension's main actionable groups (2 warning-level).
  4. Enforce Cyclomatic Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

Detailed fixes: d1_recommendation.md · top locations in Appendix A, every location in findings.md.

D2 · Cognitive Complexity5.2 / 10Adequate✓ Tool-verified

What it measures: How hard the code is for a person to follow, beyond raw branching.

Method: Cognitive complexity per method (Sonar-style nesting-penalized score), computed exhaustively over production code, excluding test projects. Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 5.2 / 10 · rule-coverage 100% · ceiling Prevented

419 method(s) exceeded the cognitive complexity threshold of 15; the worst was _grabArticle at 222.

(anonymous) (cognitive 23) · ×3docs/src/content/docs/framework/javascript/algolia.js:3893
(anonymous) (cognitive 21) · ×3docs/src/content/docs/framework/javascript/algolia.js:1932
q (cognitive 56) · ×2docs/src/content/docs/framework/javascript/algolia.js:450
D (cognitive 54) · ×2docs/src/content/docs/framework/javascript/algolia.js:302
M (cognitive 49) · ×2docs/src/content/docs/framework/javascript/algolia.js:572

+ 12 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

  1. Resolve the 3 (anonymous) (cognitive 23) finding(s) in Cognitive Complexity — start with algolia.js (2), Readability.js. — One of this dimension's main actionable groups (3 warning-level).
  2. Resolve the 3 (anonymous) (cognitive 21) finding(s) in Cognitive Complexity — start with algolia.js (2), Readability.js. — One of this dimension's main actionable groups (3 warning-level).
  3. Resolve the 2 q (cognitive 56) finding(s) in Cognitive Complexity — start with algolia.js (2). — One of this dimension's main actionable groups (2 warning-level).
  4. Enforce Cognitive Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

Detailed fixes: d2_recommendation.md · top locations in Appendix A, every location in findings.md.

D3 · God Classes2.5 / 10Weak✓ Tool-verified

What it measures: Over-large classes that try to do too much ("god classes").

Method: God-class detection by line and method-count thresholds per logical type (partial classes unified), filtered for generated code and registration/contract false positives. Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 2.5 / 10 · rule-coverage 100% · ceiling Prevented

3 god class(es) detected.

FileTooLong: javascript/algolia.js · ×3docs/src/content/docs/framework/javascript/algolia.js:0

What to do

  1. Resolve the 3 FileTooLong finding(s) in God Classes — start with algolia.js (2), Readability.js. — One of this dimension's main actionable groups (3 warning-level).
  2. Enforce God Classes in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

Detailed fixes: d3_recommendation.md · top locations in Appendix A, every location in findings.md.

D4 · Code Duplication0.0 / 10Critical✓ Tool-verified

What it measures: Copy-pasted code that should be shared instead.

Method: Code duplication via token-stream sliding windows with type-aware normalization (locals masked, type names preserved), density-scored per KLoC of production code. Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 0.0 / 10 · rule-coverage 100% · ceiling Verified

73 duplicated block group(s) detected.

Duplicated block (16 lines × 2) · ×9llama-index-core/tests/response_synthesizers/test_tree_summarize.py:37
Duplicated block (11 lines × 2) · ×9llama-index-core/llama_index/core/indices/tree/inserter.py:25
Duplicated block (10 lines × 2) · ×8llama-index-core/llama_index/core/indices/knowledge_graph/retrievers.py:25
Duplicated block (12 lines × 2) · ×7llama-index-core/llama_index/core/indices/tree/select_leaf_retriever.py:72
Duplicated block (6 lines × 2) · ×6llama-index-core/llama_index/core/chat_engine/multi_modal_context.py:4

+ 14 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

  1. Resolve the 9 Duplicated block (16 lines × 2) finding(s) in Code Duplication — start with base.py (4), agent.py (2), test_github_repository_reader.py. — One of this dimension's main actionable groups (9 warning-level).
  2. Resolve the 9 Duplicated block (11 lines × 2) finding(s) in Code Duplication — start with base.py (5), test_hf_inference.py (2), inserter.py. — One of this dimension's main actionable groups (9 warning-level).
  3. Resolve the 8 Duplicated block (10 lines × 2) finding(s) in Code Duplication — start with property_graph.py (2), base.py, llama_parse_json_element.py. — One of this dimension's main actionable groups (8 warning-level).
  4. Enforce Code Duplication in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Verified — provenance only; does not change the score.

Detailed fixes: d4_recommendation.md · top locations in Appendix A, every location in findings.md.

D5 · Coupling6.9 / 10Adequate✓ Tool-verified

What it measures: Whether volatile projects sit underneath others that depend on them (so their churn ripples upward), and whether project dependencies form cycles. A widely-depended-on but stable shared/kernel project is healthy, not penalised.

Method: Dependency cycles via elementary-DFS over real .csproj references, plus Martin instability (afferent/efferent) per project. Exhaustive over the reference graph, deterministic.

Coverage: Exhaustive · type-level: afferent/efferent coupling + cycles computed over every production type — the population is all types, not a name convention.

Maturity: DocumentedVerifiedPrevented · effective 6.9 / 10 · rule-coverage 100% · ceiling Prevented

0 projects, 0 dependency cycle(s), 0 unstable depended-on project(s).

What to do

  1. Enforce Coupling in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

Detailed fixes: d5_recommendation.md.

D9 · Test Distribution0.0 / 10Critical✓ Tool-verified

What it measures: Whether the test suite has a healthy mix of unit / integration / end-to-end tests.

Method: Test projects classified (Unit/Integration/BDD/E2E) from compiled metadata; test methods counted exhaustively across projects with placement-agnostic disk fallback. Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 0.0 / 10 · rule-coverage 100% · ceiling Documented

No test projects found.

No tests found

What to do

  1. Resolve the 1 No tests found finding(s) in Test Distribution. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d9_recommendation.md · top locations in Appendix A, every location in findings.md.

D12 · Dependency Hygiene10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether dependencies are current, secure, and not bloated.

Method: Manifest scan via dotnet list package across all projects; worst-signal-per-package deduction (saturating for vulnerabilities, capped-linear for deprecation/outdated) per KLoC. Exhaustive, deterministic.

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Verified

0 outdated, 0 vulnerable, 0 deprecated packages.

✓ On the Gold path — maintain.

Detailed fixes: d12_recommendation.md.

D13 · Secret Scanning10.0 / 10Exemplary○ Nothing flagged

What it measures: Whether any secrets (keys, tokens, passwords) have leaked into the code.

Method: In-process native secret scanner (entropy plus signature patterns) across all tracked files; no external tool. A clean result is a measured 10, not no-data zero. Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Prevented

Secret scan ran and found no leaked secrets.

✓ On the Gold path — maintain.

Detailed fixes: d13_recommendation.md.

D21 · Naming Consistency / 10Exemplary◐ Sampled · advisory

What it measures: Whether names — types, methods, variables — are clear and consistent.

Method: Judged by language model at low temperature (0.0-0.1) on a deterministic random symbol sample (fixed size, not exhaustive), with disclosed confidence band. Advisory, sampled.

Maturity: DocumentedVerifiedPrevented · effective Exemplary / 10 · rule-coverage 100% · ceiling Verified

0 naming inconsistencies across 0 sampled symbols.

✓ On the Gold path — maintain.

Detailed fixes: d21_recommendation.md.

D26 · Project Cohesion10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether each project is a focused, coherent unit rather than an oversized grab-bag.

Method: Project size overshoot penalties (LoC / public-type count / namespace count, 2-of-3 flag) weighted by log magnitude. Exhaustive across projects, deterministic, LLM-independent.

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No projects to assess.

✓ On the Gold path — maintain.

Detailed fixes: d26_recommendation.md.

D27 · Navigability10.0 / 10Exemplary✓ Tool-verified

What it measures: How far you must trace to follow a call — low indirection and co-located slices read easier.

Method: Call indirection (interface hops, cross-namespace calls, slice-locality scaled) over a sampled set of method invocations, size-aware baseline. Sampled; confidence discounted by symbol-resolution gaps.

Coverage: Slice locality from the first namespace segments, SAMPLED (≤400 methods) — not exhaustive.

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

Too little code to assess navigability.

✓ On the Gold path — maintain.

Detailed fixes: d27_recommendation.md.

D28 · Secrets (history)0.0 / 10Critical✓ Tool-verified

What it measures: Whether any secrets were ever committed — scanned across the full git history, not just now.

Method: Git-history secret scan via gitleaks detect over full history in an isolated checkout; each match flagged High. Exhaustive; degrades cleanly when tool absent.

Maturity: DocumentedVerifiedPrevented · effective 0.0 / 10 · rule-coverage 100% · ceiling Documented

609 finding(s): 0 critical, 609 high, 0 medium, 0 low.

Secret: generic-api-key · ×50docs/examples/evaluation/RAGChecker.ipynb:281detected by gitleaks finding

What to do

  1. Resolve the 50 Secret finding(s) in Secrets (history) — start with uv.lock (34), openai.ipynb (6), algolia.js (2). — One of this dimension's main actionable groups (50 issue-level).

Detailed fixes: d28_recommendation.md · top locations in Appendix A, every location in findings.md.

D29 · Static Analysis (SAST)10.0 / 10Exemplary○ Nothing flagged

What it measures: Real static-analysis (SAST) findings — likely security bugs in the code, any language.

Method: Polyglot static analysis via semgrep across the repo using the pinned, image-baked p/security-audit + p/owasp-top-ten rulesets (no scan-time registry fetch); severity rules (ERROR/WARNING/INFO) map to a full-band severity-weighted score. Exhaustive, deterministic; degrades on parse failure.

Coverage: semgrep pattern rules over all files — exhaustive for the rule set, blind to classes of bug without a rule (clean = no rule matched).

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

semgrep found no security issues.

✓ On the Gold path — maintain.

Detailed fixes: d29_recommendation.md.

D36 · Supply-chain Provenance & Signing2.5 / 10Weak✓ Tool-verified

What it measures: Whether the build pipeline provides supply-chain integrity — generated provenance/attestation, signed artifacts (cosign/sigstore), an SBOM, and pinned build actions. Presence of the configuration, not a runtime guarantee.

Method: Supply-chain provenance/signing read deterministically from CI/build config (.github/workflows, .gitlab-ci.yml, azure-pipelines, Jenkinsfile, .circleci) + the release surface: four signals — generated provenance/attestation (SLSA/in-toto/actions-attest), artifact signing (cosign/sigstore/gitsign), an SBOM (syft/sbom-action/*.spdx.json/*.cdx.json), and SHA-pinned build actions — scored 10·present/denom. NotApplicable without a build pipeline. Detects configuration presence, not runtime enforcement.

Maturity: DocumentedVerifiedPrevented · effective 2.5 / 10 · rule-coverage 100% · ceiling Documented

1/4 supply-chain integrity signals present (provenance, signing, SBOM, pinned actions).

Unpinned build actions
No artifact signing
No SBOM

What to do

  1. Resolve the 1 Unpinned build actions finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
  2. Resolve the 1 No artifact signing finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 recommendation-level).
  3. Resolve the 1 No SBOM finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d36_recommendation.md · top locations in Appendix A, every location in findings.md.

D37 · Vulnerability-disclosure Policy10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether the repository publishes a coordinated-vulnerability-disclosure policy (SECURITY.md or security.txt) with a reporting contact, so finders know how to report a vulnerability. Presence of a policy file with a contact, not whether the policy is adequate or honoured.

Method: Vulnerability-disclosure policy read deterministically from the repo: a SECURITY.md (root/.github/docs) or .well-known/security.txt / security.txt, regex-checked for a reporting contact (email / URL / mailto). Present + contact → 10; present without a contact → 4; NotApplicable when no policy file exists (it may live off-repo). Detects the policy file's presence + contact, not its adequacy.

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

A vulnerability-disclosure policy (SECURITY.md) is published with a reporting contact.

✓ On the Gold path — maintain.

Detailed fixes: d37_recommendation.md.

Frontend & cross-cutting dimensions

R = React/JS · M = Maturity · P = Readiness.

AX5 · Architecture & structure10.0 / 10Exemplary✓ Tool-verified

Other · Architecture — Whether the codebase has a recognisable, scale-appropriate structure (a named architectural style, or modular enough for its size) rather than being an ad-hoc ball of mud.

Method: Roslyn plus csproj analysis: architecture style detection (DDD, clean, vertical-slice, CQRS) and structure fitness for repo size. Deterministic.

DM1 · Aggregate boundaries10.0 / 10Exemplary✓ Tool-verified

Other · Domain Modelling — Whether aggregates reference each other by identity (id) rather than by direct object reference — the core DDD consistency-boundary rule.

Method: Roslyn (DDD-gated): aggregate roots identified by convention; each aggregate field checked for direct references to other aggregates versus id-only. Deterministic, DDD-native.

Coverage: Population: aggregate roots identified by AggregateRoot/IAggregateRoot base/interface NAME convention; reference-by-identity then checked exhaustively within that set — a root not using those names is invisible.

DM4 · Rich vs anemic model3.0 / 10Weak✓ Tool-verified

Other · Domain Modelling — Whether aggregates/entities carry the behaviour that protects their invariants, rather than being data bags driven by external services.

Method: Roslyn (DDD-gated): entity method BODIES classified mutator-vs-query — only methods that mutate the entity's own declared state count as invariant-protecting behaviour, so a getter/passthrough doesn't rescue an anemic class. Deterministic, exhaustive over domain-layer entities.

Coverage: Population: entities by name/base convention; rich-vs-anemic judged by classifying each method body mutator-vs-query — logic-bearing domain types outside the convention are invisible.

  • `FunctionCallingProgram` is an aggregate/entity with 3 data propert(ies) but no state-changing behaviour (only data and queries) — the business logic lives in a service. — function_program.py:67
  • `LLMTextCompletionProgram` is an aggregate/entity with 3 data propert(ies) but no state-changing behaviour (only data and queries) — the business logic lives in a service. — llm_program.py:26

What to do

  • Move business rules onto the aggregates/entities they govern so invariants are enforced at the source, not in anemic services.
DM5 · Encapsulated state3.5 / 10Weak✓ Tool-verified

Other · Domain Modelling — Whether entities protect their state (private/init-only setters) instead of exposing public setters that bypass invariants. Softened when a rehydration framework (Marten/EF) is present.

Method: Roslyn (DDD-gated): public setters on entities detected; score softened when Marten/EF rehydration frameworks present. Deterministic, framework-aware.

Coverage: Population: entities by convention; encapsulation (setter shape) checked exhaustively within the set.

  • `FunctionCallingProgram` exposes public setter(s) (prompt). — function_program.py:67
  • `LLMTextCompletionProgram` exposes public setter(s) (prompt). — llm_program.py:26

What to do

  • Make entity setters private/init-only; change state only through methods that enforce the invariants (Marten/EF can bind via constructor or private setters).
DM6 · Domain ↔ infrastructure boundary10.0 / 10Exemplary✓ Tool-verified

Other · Domain Modelling — Whether the domain layer stays free of infrastructure dependencies (EF/Marten/HTTP/ASP.NET) — the clean-architecture dependency rule.

Method: Roslyn (DDD-gated): domain-layer types scanned for infrastructure usage in member SIGNATURES and inside method/accessor BODIES — resolved calls and object-creations into EF/Marten/HTTP/Mongo/Redis/message-bus types (not just a namespace allowlist). Deterministic, symbol-resolved, exhaustive over domain-layer bodies, DDD-native.

Coverage: Domain layer identified by NAMESPACE heuristic; infrastructure then resolved by symbol in member SIGNATURES and method/accessor BODIES — rename the layer and the check evaporates.

DM8 · Value-object opportunities10.0 / 10Exemplary✓ Tool-verified

Other · Domain Modelling — Whether clusters of primitives that travel together (a missing value object) are extracted — a low-weight suggestion, LLM-confirmed when configured.

Method: Roslyn (DDD-gated): primitive parameter clusters recurring three or more times across signatures extracted, then confirmed by language model when configured. Advisory, low-weight.

M1 · Documentation (README)6.7 / 10Adequate✓ Tool-verified

Maturity · Maturity — Whether the repo and its projects have a README, and whether it's substantive and current.

Method: Filesystem scan: README presence, word count, and headings for depth; git history for staleness. Exhaustive across root and project dirs, deterministic.

What to do

  • Add a 'Testing' section to the root README — how to run the test suite.
  • Add an 'Architecture' / 'How it works' section to the root README — the high-level shape.
M2 · Architecture documentation2.0 / 10Critical✓ Tool-verified

Maturity · Maturity — Whether key decisions (ADRs) and the high-level shape (C4/diagrams) are written down.

Method: Filesystem scan: ADR folder/naming conventions or content, plus Mermaid/PlantUML/C4/architecture.md discovery. Exhaustive, deterministic.

  • No Architecture Decision Records found — decisions aren't captured for future maintainers.

What to do

  • Start an ADR log (docs/adr/) recording significant decisions and their rationale.
M3 · Folder & project structure6.0 / 10Adequate✓ Tool-verified

Maturity · Maturity — Whether the repo is organised deliberately — src/test separation and consistent project naming.

Method: Filesystem scan: src/test folder separation and namespace-prefix consistency (majority RootNamespace agreement). Exhaustive across projects, deterministic.

  • Projects aren't grouped under a src/ folder — production and tooling code are mixed at the root.
  • Test projects aren't grouped under a tests/ folder — the test surface isn't separable from production code at a glance.

What to do

  • Group production code under src/ (or split deliberately, e.g. backend/ + frontend/) so production and tooling code aren't mixed at the root.
  • Group test projects under tests/ (or test/, spec/) so the test surface is discoverable and CI can scope it.
M4 · Documentation accuracy10.0 / 10Exemplary◐ Sampled · advisory

Maturity · Maturity — Whether the README actually describes the code that exists (LLM-judged, advisory).

Method: Judged by language model at low temperature: README accuracy versus actual projects, within a disclosed tolerance. Advisory, not a measured number.

P1 · CI/CD gates10.0 / 10Exemplary○ Nothing flagged

Readiness · Readiness — Whether an automated pipeline builds and tests every change.

Method: Filesystem scan: CI workflow files (.github/workflows, .gitlab-ci.yml, etc.) for build and test stages. Exhaustive, deterministic.

P2 · Observability0.0 / 10Critical✓ Tool-verified

Readiness · Readiness — Whether the code is diagnosable in production — structured logging, tracing/metrics, health checks.

Method: Filesystem/Roslyn scan: structured-logging frameworks (Serilog, NLog), OpenTelemetry, and health-check endpoint patterns. Exhaustive, deterministic.

  • No ILogger/Serilog usage found — production issues will be hard to diagnose.

What to do

  • Adopt ILogger (or Serilog) and log at meaningful points across the projects.
  • Consider OpenTelemetry tracing/metrics and a health-check endpoint for operability.
P3 · Security & performance tooling7.0 / 10Strong✓ Tool-verified

Readiness · Readiness — Whether SAST, secret/dependency scanning and performance benchmarking are wired in (presence, not runtime).

Method: Filesystem/Roslyn scan: CodeQL, Dependabot, secret-scanning, and BenchmarkDotNet presence in pipelines and projects. Exhaustive, deterministic.

What to do

  • Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
P4 · Deployment & Rollback7.0 / 10Strong✓ Tool-verified

Readiness · Readiness — Whether releases are automated and safely reversible (probes, rolling updates, approval gates) — from manifests/pipeline files, not the live environment.

Method: Filesystem scan: deployment manifests/IaC (K8s YAML, Helm, Terraform) for rolling updates, probes, approval gates, migration hooks. Exhaustive, deterministic.

  • Deployment automation exists but no readiness/liveness probes, rolling-update strategy, lifecycle hooks or migration job were evidenced — a bad release is harder to detect and reverse.

What to do

  • Add readiness/liveness probes and a rolling-update (or blue/green) strategy so a bad release is caught and rolled back automatically.
P5 · DR & Backup0.0 / 10Critical✓ Tool-verified

Readiness · Readiness — Whether disaster recovery is planned and codified — backups, geo-recovery, RTO/RPO, persistence guarantees — from IaC + container manifests + docs, never the live cloud.

Method: Filesystem scan: disaster recovery, backup, geo-recovery, RTO/RPO, persistence guarantees from IaC, manifests, and docs. Exhaustive, deterministic, never a live environment.

  • A persistence guard (data volume / purge-protection) was found, but no backup, geo-recovery or RTO/RPO controls were evidenced — a volume that survives a container recreate is not a tested restore from catastrophic loss.

What to do

  • Codify backups + geo-recovery in IaC and document RTO/RPO and the restore procedure — a persistence guard alone is not disaster recovery.
P6 · Release Hygiene5.0 / 10Adequate✓ Tool-verified

Readiness · Readiness — Whether releases are traceable — a maintained changelog and explicit version stamping.

Method: Filesystem scan: changelog file presence and version tags in csproj or git tags. Exhaustive, deterministic.

What to do

  • Stamp a version (csproj <Version>, a VERSION file, or GitVersion) or tag releases with semver so builds and releases are traceable.
R1 · Type Safety0.0 / 10Critical✓ Tool-verified

React / JS · Code Health — How much of the frontend is typed TypeScript vs untyped JavaScript.

Method: Frontend file inventory: the share of typed TypeScript vs untyped JavaScript across the source tree. Deterministic, exhaustive over frontend files.

  • 0 typed · 7 plain JS

What to do

  • Migrate the remaining .js/.jsx files to TypeScript.
R10 · Code Duplication9.4 / 10Exemplary✓ Tool-verified

React / JS · Code Health — Copy-pasted token-identical blocks across the frontend (the D4 clone algorithm over JS/TS tokens, D-386).

Method: Copy-pasted token-identical blocks across the frontend (the D4 clone algorithm run over JS/TS tokens). Deterministic.

  • llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:788 · llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:811 — Readability.js:788
  • llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:2155 · llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:2165 — Readability.js:2155
  • llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:2073 · llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:2080 — Readability.js:2073

What to do

  • Extract the duplicated blocks into shared functions/components.
R2 · Cyclomatic Complexity0.0 / 10Critical✓ Tool-verified

React / JS · Code Health — Per-function cyclomatic/cognitive complexity from the token-level function scanner (D-386) — real branching, not a regex heuristic.

Method: Per-function cyclomatic/cognitive complexity from a token-level function scanner (real branching, not a regex heuristic), computed over every frontend function. Deterministic.

  • Branch-heavy code is where defects cluster — extract decisions into smaller functions. (×8) — Readability.js:1019, Readability.js:2347, Readability.js:1609, …

What to do

  • Break down the listed branch-heavy functions; aim P95 cyclomatic ≤ 5.
R3 · Large Files0.0 / 10Critical✓ Tool-verified

React / JS · Code Health — How many components/modules exceed the large-file threshold.

Method: Components/modules exceeding the large-file threshold, counted exhaustively across the frontend source tree. Deterministic.

  • 3 file(s) over 400 lines

What to do

  • Split the oversized components into smaller, focused ones.
R4 · Test Coverage0.0 / 10Critical✓ Tool-verified

React / JS · Readiness — Static test reachability (D-386): the share of production files reachable from any test via the import graph — measured without running anything.

Method: Static test reachability: the share of production files reachable from any test via the import graph — measured without running anything. Deterministic.

  • No test imports this module directly or transitively — its behavior is unverified. — Readability.js

What to do

  • Add tests that import the unreached modules (directly or through their public entry).
R6 · Tooling0.0 / 10Critical✓ Tool-verified

React / JS · Readiness — Whether the project wires up test, lint and typecheck — detected from each package.json script's COMMAND (eslint / tsc / vitest / jest / playwright), not just its name, and corroborated against CI-workflow invocations so a tool run only in CI still counts.

Method: package.json scanned for test/lint/typecheck script wiring. Deterministic presence check.

  • test ✗ · lint ✗ · typecheck ✗

What to do

  • Add the missing tooling (eslint, tsc) as package.json scripts and run them in CI.
R7 · Dead Code0.0 / 10Critical✓ Tool-verified

React / JS · Code Health — Files unreachable from every application/tooling/test entry point, and exports nothing imports (module-graph reachability, D-386).

Method: Dead code: files unreachable from every application/tooling/test entry point plus exports nothing imports, via module-graph reachability. Deterministic, exhaustive over the import graph.

  • Unreachable from the 0 application, 1 tooling and 0 test entry point(s) detected in this repo. Gate removals on your build/type-check — an undetected custom entry would make these reachable.
  • no import path from any entry point (0 application, 1 tooling, 0 test roots considered) — Readability.js

What to do

  • Delete the dead files and unused exports — every line is maintenance cost and rebuild-estimate inflation with zero runtime value.
R8 · Dependency Hygiene10.0 / 10Exemplary✓ Tool-verified

React / JS · Readiness — npm dependency truthfulness (D-386): unused dependencies, imports not declared anywhere, and type-/test-only packages shipped as production deps.

Method: npm dependency truthfulness: unused dependencies, imports declared nowhere, and type-/test-only packages shipped as production deps — from the manifest + import graph. Deterministic.

R9 · Circular Imports10.0 / 10Exemplary✓ Tool-verified

React / JS · Architecture — Import cycles in the module graph (D-386) — files that can only be understood and changed together.

Method: Import cycles in the module graph, detected exhaustively over JS/TS imports (the same cycle detection as the .NET coupling dimension). Deterministic.

X1 · Async correctness10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether the code avoids sync-over-async (deadlock-prone blocking on tasks) and async void.

Method: Roslyn syntax scan: async methods scanned for .Wait()/.GetAwaiter().GetResult() and async-void outside event handlers. Deterministic, hard fact per invocation.

X3 · Exception handling10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether exceptions are handled rather than silently swallowed or rethrown with lost stack traces.

Method: Roslyn syntax scan: every catch clause counted; empty catches and bare rethrows flagged. Population is all catch clauses, not estimated. Deterministic, hard fact.

X4 · Structured logging10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether log calls use message templates (queryable) rather than interpolated strings.

Method: Roslyn syntax scan: every log call-site counted; interpolated-string first-argument violations flagged. Population is all log calls, not estimated. Deterministic.

Reference — by lens

The score is the rank-weighted fold of these lenses (worst-heaviest), each including its meta-dimensions; a lens with a Critical contributor is capped at Fair (its band reads "gated by …") and is never the strongest area however high its average.

LensScoreRatingImpact
Code Health20%Critical — gated by D3, D4, R1, R2, R3, R7Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Architecture96%ExemplaryStrongest area.
Maturity53%Adequate — gated by M2Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Readiness16%Critical — gated by D9, R4, R6, P2, P5Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Security56%Adequate — gated by D28, D36Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Domain Modelling57%Adequate — gated by DM4, DM5Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Not included — 66 check(s) not relevant to this codebase

These checks had nothing to measure here (no tests, no git history, the codebase is small, or the architecture style doesn't apply), so they're omitted above rather than scored low.

  • AC1 Text alternatives — No user-facing web UI (the repo is a library/CLI/worker/headless service) — accessibility is not applicable.
  • AC2 Forms & labels — No user-facing web UI (the repo is a library/CLI/worker/headless service) — accessibility is not applicable.
  • AC3 Page structure — No user-facing web UI (the repo is a library/CLI/worker/headless service) — accessibility is not applicable.
  • AC4 Keyboard semantics — No user-facing web UI (the repo is a library/CLI/worker/headless service) — accessibility is not applicable.
  • AC5 ARIA correctness — No user-facing web UI (the repo is a library/CLI/worker/headless service) — accessibility is not applicable.
  • AC6 Visual & motion safety — No user-facing web UI (the repo is a library/CLI/worker/headless service) — accessibility is not applicable.
  • AC7 A11y enforcement — No user-facing web UI (the repo is a library/CLI/worker/headless service) — accessibility is not applicable.
  • AX1 Captive dependencies — no DI registrations detected
  • AX10 Code composition — no source files detected — code composition not applicable
  • AX2 Stateful singletons — no singleton implementations detected
  • AX3 Project dependency cycles — no csproj graph available
  • AX4 Dependency direction — no csproj graph available
  • AX6 Interface segregation — no public interfaces
  • AX7 Slice cohesion — not applicable — not a vertical-slice architecture
  • AX8 Test isolation — no test/production split to check
  • AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
  • AXB2 Runtime readiness — no data
  • C1 Data Protection — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
  • C2 Access Controls — No access-control surface detected in the analyzed source — no web/app surface to authorize (no HTTP API or web-UI project) and no authorization code at all (no [Authorize]/policies, no imperative guard methods). Access control is therefore N/A here — this is a library/CLI, which is authorized by its CALLER, not by itself. If this codebase grows request handlers, the dimension reactivates and a default-deny posture is expected then.
  • C3 Audit Trail — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
  • C4 Data Retention — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
  • C5 Data-Subject Rights — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
  • D10 Test Quality — ~122100 lines of test code exist on disk but weren't loaded from the analyzed solution (excluded from the .sln, or co-located/using a test attribute not loaded here), so test quality couldn't be assessed. Include the tests in the analyzed solution to enable this check.
  • D11 Test Reliability — Test reliability not included
  • D14 License Compliance — license scan produced no result — the tool ran but its JSON output could not be parsed; the offline NuGet fallback resolved nothing
  • D15 Churn × Complexity Hotspots — single-commit history — no usable git history window to measure hotspots
  • D16 Bus Factor — single-maintainer — knowledge-concentration (bus factor) risk
  • D17 Explicit Debt — the C# workspace loaded 0 projects, so explicit-debt density could not be measured
  • D18 Solution Shape — Dimension evaluation failed
  • D19 Documentation Quality — LLM evaluation failed
  • D20 ADR Quality — N/A — ADRs are expected on deployable products with a user-facing host, not consumed libraries; no ADR log is required here.
  • D22 Internal API Consistency — No exposed public API
  • D23 Boundary Type-Coupling — Zero projects and zero LoC mean the codebase is trivial and has no structure to justify boundaries.
  • D24 Comment Value — No inline comments to assess — comment value is not applicable here.
  • D25 ADR Conformance — no ADRs to check
  • D30 Dependency Vulnerabilities — No .NET solution found; no NuGet dependencies to scan for vulnerabilities.
  • D31 IaC & Container Security — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.
  • D32 Data Compliance (PII/GDPR) — No PII/GDPR ruleset is bundled (the public p/gdpr semgrep pack was retired) — data compliance is not assessed in this scan.
  • D33 JS/npm Dependency Vulnerabilities — No JS/npm manifest or lockfile found outside bin/obj (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.
  • D34 Knowledge Freshness — early-stage repository — too little history to judge knowledge freshness
  • D35 Change Coupling — no production change history to mine for change-coupling
  • D38 OSV Dependency Vulnerabilities — No JS/npm lockfile found outside bin/obj (package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); nothing for OSV to scan.
  • D39 IL Efficiency — The target did not build, so no IL was available to measure.
  • D6 Cohesion (LCOM4) — No production classes were analyzable, so cohesion (LCOM4) was not measured (the solution likely failed to load or has no production code).
  • D7 Architectural Integrity — no checkable ADRs and no dependency cycles — architectural integrity not assessed
  • D8 Code Coverage — Coverage not measured — test suite did not build
  • DM2 Strongly-typed ids — no id-bearing domain types detected — strongly-typed-id adoption not assessable
  • DM3 Integration-event coupling — no integration events detected — coupling check not applicable
  • DM7 Repository granularity — no repository abstraction detected (e.g. uses a document session)
  • ED1 Event-Driven — not run — 0/3 markers found
  • ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
  • ES1 Event Sourcing — not run — 0/3 markers found
  • GD1 Unfinished & placeholder code — no source files
  • IC1 Incompleteness & stubs — no C# methods found
  • P12 CI test-gate honesty — no data
  • P7 Outbound HTTP resilience — not applicable — this isn't a service/API/worker
  • P8 Schema migrations — no EF Core usage detected
  • P9 Domain vs controller coverage — no coverage report found on disk — run tests with `--collect:"XPlat Code Coverage"` (or in CI) to enable this cross-layer check
  • PF1 Benchmark discipline — Performance is assessed only for perf-relevant repos — a packaged library, one that ships benchmarks, or one already using allocation-aware APIs. This repo isn't one, so the Performance lens is not applicable and is excluded from the score.
  • PF2 Allocation hygiene — Performance is assessed only for perf-relevant repos — a packaged library, one that ships benchmarks, or one already using allocation-aware APIs. This repo isn't one, so the Performance lens is not applicable and is excluded from the score.
  • PF3 Async & latency hygiene — Performance is assessed only for perf-relevant repos — a packaged library, one that ships benchmarks, or one already using allocation-aware APIs. This repo isn't one, so the Performance lens is not applicable and is excluded from the score.
  • R11 Import Boundaries — No recognizable feature-sliced/layered src layout — boundary rules not applicable.
  • R5 Dependency Freshness — no package-lock.json — dependency freshness not measured (would require an npm lockfile); JS/npm CVEs are scored in D33 (JS/npm Dependency Vulnerabilities)
  • S1 Web-Security Posture — No web surface detected in the analyzed source — no HTTP API or web-UI project (no controllers/minimal-API endpoints, no Razor/Blazor views) and no web middleware (HTTPS redirection, HSTS, security headers, cookies). Transport security, security headers, secure cookies, CSRF/input-validation and middleware-order controls are therefore N/A here — this is a library/CLI/worker, not a web app. Crypto hygiene was still checked and found nothing to flag. If this codebase becomes web-facing, the dimension reactivates automatically.
  • X2 Cancellation propagation — no async methods found
  • X5 Nullable reference types — no NRT-eligible projects

Appendix A — Findings (grouped)

The findings behind the scores, grouped by severity, then by dimension and kind. The high-severity issues are enumerated in full below; items per group are capped at 25 with any overflow stated explicitly per group, never silently truncated. The complete machine-readable list of every finding (all severities) is the companion findings.md in this report's bundle.

Issue — 51 finding(s)
D28 · Secrets (history) · Secret · ×50
  • Secret: generic-api-key docs/examples/evaluation/RAGChecker.ipynb:281 — matched rule 'generic-api-key'
  • Secret: aws-access-token docs/examples/llm/openai.ipynb:433 — matched rule 'aws-access-token'
  • Secret: aws-access-token docs/examples/llm/openai.ipynb:433 — matched rule 'aws-access-token'
  • Secret: aws-access-token docs/examples/llm/openai.ipynb:433 — matched rule 'aws-access-token'
  • Secret: aws-access-token docs/examples/llm/openai.ipynb:464 — matched rule 'aws-access-token'
  • Secret: aws-access-token docs/examples/llm/openai.ipynb:464 — matched rule 'aws-access-token'
  • Secret: aws-access-token docs/examples/llm/openai.ipynb:464 — matched rule 'aws-access-token'
  • Secret: generic-api-key docs/examples/index_structs/knowledge_graph/2023_Science_Wikipedia_KnowledgeGraph.html:18152 — matched rule 'generic-api-key'
  • Secret: aws-access-token docs/examples/llm/azure_openai.ipynb:138 — matched rule 'aws-access-token'
  • Secret: generic-api-key docs/examples/index_structs/knowledge_graph/falkordbgraph_draw.html:18152 — matched rule 'generic-api-key'
  • Secret: generic-api-key docs/examples/index_structs/knowledge_graph/kuzugraph_draw.html:18152 — matched rule 'generic-api-key'
  • Secret: generic-api-key docs/examples/index_structs/knowledge_graph/nebulagraph_draw.html:18152 — matched rule 'generic-api-key'
  • Secret: generic-api-key docs/examples/query_engine/nebulagraph_draw.html:18152 — matched rule 'generic-api-key'
  • Secret: generic-api-key docs/examples/query_engine/nebulagraph_draw_quill.html:18152 — matched rule 'generic-api-key'
  • Secret: generic-api-key docs/src/content/docs/framework/_static/js/algolia.js:7251 — matched rule 'generic-api-key'
  • Secret: generic-api-key docs/src/content/docs/framework/javascript/algolia.js:7251 — matched rule 'generic-api-key'
  • Secret: square-access-token llama-index-integrations/callbacks/llama-index-callbacks-literalai/uv.lock:2519 — matched rule 'square-access-token'
  • Secret: square-access-token llama-index-integrations/callbacks/llama-index-callbacks-langfuse/uv.lock:2551 — matched rule 'square-access-token'
  • Secret: square-access-token llama-index-integrations/embeddings/llama-index-embeddings-alephalpha/uv.lock:2649 — matched rule 'square-access-token'
  • Secret: square-access-token llama-index-integrations/callbacks/llama-index-callbacks-agentops/uv.lock:2538 — matched rule 'square-access-token'
  • Secret: square-access-token llama-index-integrations/embeddings/llama-index-embeddings-adapter/uv.lock:2752 — matched rule 'square-access-token'
  • Secret: square-access-token llama-index-integrations/callbacks/llama-index-callbacks-wandb/uv.lock:2575 — matched rule 'square-access-token'
  • Secret: square-access-token llama-index-integrations/callbacks/llama-index-callbacks-aim/uv.lock:3867 — matched rule 'square-access-token'
  • Secret: square-access-token llama-index-integrations/callbacks/llama-index-callbacks-uptrain/uv.lock:3154 — matched rule 'square-access-token'
  • Secret: square-access-token llama-index-integrations/embeddings/llama-index-embeddings-clip/uv.lock:2517 — matched rule 'square-access-token'
  • + 25 more in this group — see findings.md.
D18 · Solution Shape · Dimension evaluation failed · ×1
  • Dimension evaluation failed — no .NET solution found at target path
Warning — 134 finding(s)
D4 · Code Duplication · Duplicated block (16 lines × 2) · ×9
  • Duplicated block (16 lines × 2) llama-index-core/tests/response_synthesizers/test_tree_summarize.py:37 — llama-index-core/tests/response_synthesizers/test_tree_summarize.py:37-52 | llama-index-core/tests/response_synthesizers/test_tree_summarize.py:63-78
  • Duplicated block (16 lines × 2) llama-index-integrations/indices/llama-index-indices-managed-lancedb/llama_index/indices/managed/lancedb/base.py:4 — llama-index-integrations/indices/llama-index-indices-managed-lancedb/llama_index/indices/managed/lancedb/base.py:4-19 | llama-index-integrations/indices/llama-index-indices-managed-lancedb/llama_index/indices/managed/lancedb/base.py:35-50
  • Duplicated block (16 lines × 2) llama-index-integrations/llms/llama-index-llms-anthropic/llama_index/llms/anthropic/base.py:107 — llama-index-integrations/llms/llama-index-llms-anthropic/llama_index/llms/anthropic/base.py:107-122 | llama-index-integrations/llms/llama-index-llms-anthropic/llama_index/llms/anthropic/base.py:146-161
  • Duplicated block (16 lines × 2) llama-index-integrations/llms/llama-index-llms-bedrock-converse/llama_index/llms/bedrock_converse/base.py:33 — llama-index-integrations/llms/llama-index-llms-bedrock-converse/llama_index/llms/bedrock_converse/base.py:33-48 | llama-index-integrations/llms/llama-index-llms-bedrock-converse/llama_index/llms/bedrock_converse/base.py:49-64
  • Duplicated block (16 lines × 2) llama-index-integrations/llms/llama-index-llms-oci-genai/llama_index/llms/oci_genai/utils.py:2 — llama-index-integrations/llms/llama-index-llms-oci-genai/llama_index/llms/oci_genai/utils.py:2-17 | llama-index-integrations/llms/llama-index-llms-oci-genai/llama_index/llms/oci_genai/utils.py:127-17
  • Duplicated block (16 lines × 2) llama-index-integrations/llms/llama-index-llms-sambanovasystems/llama_index/llms/sambanovasystems/base.py:22 — llama-index-integrations/llms/llama-index-llms-sambanovasystems/llama_index/llms/sambanovasystems/base.py:22-34 | llama-index-integrations/llms/llama-index-llms-sambanovasystems/llama_index/llms/sambanovasystems/base.py:47-62
  • Duplicated block (16 lines × 2) llama-index-integrations/protocols/llama-index-protocols-ag-ui/llama_index/protocols/ag_ui/agent.py:10 — llama-index-integrations/protocols/llama-index-protocols-ag-ui/llama_index/protocols/ag_ui/agent.py:10-23 | llama-index-integrations/protocols/llama-index-protocols-ag-ui/llama_index/protocols/ag_ui/agent.py:92-107
  • Duplicated block (16 lines × 2) llama-index-integrations/protocols/llama-index-protocols-ag-ui/llama_index/protocols/ag_ui/agent.py:110 — llama-index-integrations/protocols/llama-index-protocols-ag-ui/llama_index/protocols/ag_ui/agent.py:110-125 | llama-index-integrations/protocols/llama-index-protocols-ag-ui/llama_index/protocols/ag_ui/agent.py:127-142
  • Duplicated block (16 lines × 2) llama-index-integrations/readers/llama-index-readers-github/tests/test_github_repository_reader.py:4 — llama-index-integrations/readers/llama-index-readers-github/tests/test_github_repository_reader.py:4-19 | llama-index-integrations/readers/llama-index-readers-github/tests/test_github_repository_reader.py:28-43
D4 · Code Duplication · Duplicated block (11 lines × 2) · ×9
  • Duplicated block (11 lines × 2) llama-index-core/llama_index/core/indices/tree/inserter.py:25 — llama-index-core/llama_index/core/indices/tree/inserter.py:25-35 | llama-index-core/llama_index/core/indices/tree/inserter.py:38-47
  • Duplicated block (11 lines × 2) llama-index-integrations/embeddings/llama-index-embeddings-huggingface-api/tests/test_hf_inference.py:3 — llama-index-integrations/embeddings/llama-index-embeddings-huggingface-api/tests/test_hf_inference.py:3-13 | llama-index-integrations/embeddings/llama-index-embeddings-huggingface-api/tests/test_hf_inference.py:22-32
  • Duplicated block (11 lines × 2) llama-index-integrations/embeddings/llama-index-embeddings-huggingface/tests/test_hf_inference.py:3 — llama-index-integrations/embeddings/llama-index-embeddings-huggingface/tests/test_hf_inference.py:3-13 | llama-index-integrations/embeddings/llama-index-embeddings-huggingface/tests/test_hf_inference.py:22-32
  • Duplicated block (11 lines × 2) llama-index-integrations/graph_stores/llama-index-graph-stores-nebula/llama_index/graph_stores/nebula/nebula_graph_store.py:7 — llama-index-integrations/graph_stores/llama-index-graph-stores-nebula/llama_index/graph_stores/nebula/nebula_graph_store.py:7-17 | llama-index-integrations/graph_stores/llama-index-graph-stores-nebula/llama_index/graph_stores/nebula/nebula_graph_store.py:25-35
  • Duplicated block (11 lines × 2) llama-index-integrations/indices/llama-index-indices-managed-dashscope/llama_index/indices/managed/dashscope/base.py:14 — llama-index-integrations/indices/llama-index-indices-managed-dashscope/llama_index/indices/managed/dashscope/base.py:14-23 | llama-index-integrations/indices/llama-index-indices-managed-dashscope/llama_index/indices/managed/dashscope/base.py:38-48
  • Duplicated block (11 lines × 2) llama-index-integrations/llms/llama-index-llms-google-genai/llama_index/llms/google_genai/base.py:4 — llama-index-integrations/llms/llama-index-llms-google-genai/llama_index/llms/google_genai/base.py:4-12 | llama-index-integrations/llms/llama-index-llms-google-genai/llama_index/llms/google_genai/base.py:14-24
  • Duplicated block (11 lines × 2) llama-index-integrations/llms/llama-index-llms-nvidia-triton/llama_index/llms/nvidia_triton/base.py:2 — llama-index-integrations/llms/llama-index-llms-nvidia-triton/llama_index/llms/nvidia_triton/base.py:2-12 | llama-index-integrations/llms/llama-index-llms-nvidia-triton/llama_index/llms/nvidia_triton/base.py:27-12
  • Duplicated block (11 lines × 2) llama-index-integrations/llms/llama-index-llms-openai/llama_index/llms/openai/base.py:43 — llama-index-integrations/llms/llama-index-llms-openai/llama_index/llms/openai/base.py:43-53 | llama-index-integrations/llms/llama-index-llms-openai/llama_index/llms/openai/base.py:54-64
  • Duplicated block (11 lines × 2) llama-index-integrations/llms/llama-index-llms-openvino-genai/llama_index/llms/openvino_genai/base.py:89 — llama-index-integrations/llms/llama-index-llms-openvino-genai/llama_index/llms/openvino_genai/base.py:89-99 | llama-index-integrations/llms/llama-index-llms-openvino-genai/llama_index/llms/openvino_genai/base.py:129-138
D4 · Code Duplication · Duplicated block (10 lines × 2) · ×8
  • Duplicated block (10 lines × 2) llama-index-core/llama_index/core/indices/knowledge_graph/retrievers.py:25 — llama-index-core/llama_index/core/indices/knowledge_graph/retrievers.py:25-33 | llama-index-core/llama_index/core/indices/knowledge_graph/retrievers.py:57-66
  • Duplicated block (10 lines × 2) llama-index-core/llama_index/core/ingestion/pipeline.py:80 — llama-index-core/llama_index/core/ingestion/pipeline.py:80-89 | llama-index-core/llama_index/core/ingestion/pipeline.py:92-101
  • Duplicated block (10 lines × 2) llama-index-core/llama_index/core/node_parser/relational/llama_parse_json_element.py:103 — llama-index-core/llama_index/core/node_parser/relational/llama_parse_json_element.py:103-112 | llama-index-core/llama_index/core/node_parser/relational/llama_parse_json_element.py:124-133
  • Duplicated block (10 lines × 2) llama-index-core/llama_index/core/node_parser/relational/markdown_element.py:44 — llama-index-core/llama_index/core/node_parser/relational/markdown_element.py:44-53 | llama-index-core/llama_index/core/node_parser/relational/markdown_element.py:65-74
  • Duplicated block (10 lines × 2) llama-index-integrations/graph_stores/llama-index-graph-stores-memgraph/llama_index/graph_stores/memgraph/property_graph.py:7 — llama-index-integrations/graph_stores/llama-index-graph-stores-memgraph/llama_index/graph_stores/memgraph/property_graph.py:7-16 | llama-index-integrations/graph_stores/llama-index-graph-stores-memgraph/llama_index/graph_stores/memgraph/property_graph.py:18-27
  • Duplicated block (10 lines × 2) llama-index-integrations/graph_stores/llama-index-graph-stores-memgraph/llama_index/graph_stores/memgraph/property_graph.py:25 — llama-index-integrations/graph_stores/llama-index-graph-stores-memgraph/llama_index/graph_stores/memgraph/property_graph.py:25-34 | llama-index-integrations/graph_stores/llama-index-graph-stores-memgraph/llama_index/graph_stores/memgraph/property_graph.py:39-48
  • Duplicated block (10 lines × 2) llama-index-integrations/llms/llama-index-llms-oci-genai/llama_index/llms/oci_genai/utils.py:56 — llama-index-integrations/llms/llama-index-llms-oci-genai/llama_index/llms/oci_genai/utils.py:56-65 | llama-index-integrations/llms/llama-index-llms-oci-genai/llama_index/llms/oci_genai/utils.py:75-84
  • Duplicated block (10 lines × 2) llama-index-integrations/readers/llama-index-readers-markitdown/llama_index/readers/markitdown/base.py:3 — llama-index-integrations/readers/llama-index-readers-markitdown/llama_index/readers/markitdown/base.py:3-12 | llama-index-integrations/readers/llama-index-readers-markitdown/llama_index/readers/markitdown/base.py:15-24
D4 · Code Duplication · Duplicated block (12 lines × 2) · ×7
  • Duplicated block (12 lines × 2) llama-index-core/llama_index/core/indices/tree/select_leaf_retriever.py:72 — llama-index-core/llama_index/core/indices/tree/select_leaf_retriever.py:72-83 | llama-index-core/llama_index/core/indices/tree/select_leaf_retriever.py:85-96
  • Duplicated block (12 lines × 2) llama-index-core/llama_index/core/program/function_program.py:8 — llama-index-core/llama_index/core/program/function_program.py:8-19 | llama-index-core/llama_index/core/program/function_program.py:25-9
  • Duplicated block (12 lines × 2) llama-index-integrations/llms/llama-index-llms-cortex/llama_index/llms/cortex/base.py:1 — llama-index-integrations/llms/llama-index-llms-cortex/llama_index/llms/cortex/base.py:1-9 | llama-index-integrations/llms/llama-index-llms-cortex/llama_index/llms/cortex/base.py:14-25
  • Duplicated block (12 lines × 2) llama-index-integrations/llms/llama-index-llms-sambanovasystems/llama_index/llms/sambanovasystems/base.py:101 — llama-index-integrations/llms/llama-index-llms-sambanovasystems/llama_index/llms/sambanovasystems/base.py:101-108 | llama-index-integrations/llms/llama-index-llms-sambanovasystems/llama_index/llms/sambanovasystems/base.py:111-122
  • Duplicated block (12 lines × 2) llama-index-integrations/llms/llama-index-llms-sambanovasystems/llama_index/llms/sambanovasystems/base.py:157 — llama-index-integrations/llms/llama-index-llms-sambanovasystems/llama_index/llms/sambanovasystems/base.py:157-166 | llama-index-integrations/llms/llama-index-llms-sambanovasystems/llama_index/llms/sambanovasystems/base.py:169-180
  • Duplicated block (12 lines × 2) llama-index-integrations/readers/llama-index-readers-github/tests/test_github_repository_reader.py:34 — llama-index-integrations/readers/llama-index-readers-github/tests/test_github_repository_reader.py:34-45 | llama-index-integrations/readers/llama-index-readers-github/tests/test_github_repository_reader.py:62-73
  • Duplicated block (12 lines × 2) llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/firecrawl_web/base.py:58 — llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/firecrawl_web/base.py:58-69 | llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/firecrawl_web/base.py:123-133
D4 · Code Duplication · Duplicated block (6 lines × 2) · ×6
  • Duplicated block (6 lines × 2) llama-index-core/llama_index/core/chat_engine/multi_modal_context.py:4 — llama-index-core/llama_index/core/chat_engine/multi_modal_context.py:4-9 | llama-index-core/llama_index/core/chat_engine/multi_modal_context.py:48-9
  • Duplicated block (6 lines × 2) llama-index-core/llama_index/core/indices/property_graph/transformations/dynamic_llm.py:13 — llama-index-core/llama_index/core/indices/property_graph/transformations/dynamic_llm.py:13-18 | llama-index-core/llama_index/core/indices/property_graph/transformations/dynamic_llm.py:21-18
  • Duplicated block (6 lines × 2) llama-index-core/llama_index/core/query_engine/multi_modal.py:4 — llama-index-core/llama_index/core/query_engine/multi_modal.py:4-9 | llama-index-core/llama_index/core/query_engine/multi_modal.py:22-9
  • Duplicated block (6 lines × 2) llama-index-integrations/agent/llama-index-agent-agentmesh/llama_index/agent/agentmesh/worker.py:20 — llama-index-integrations/agent/llama-index-agent-agentmesh/llama_index/agent/agentmesh/worker.py:20-25 | llama-index-integrations/agent/llama-index-agent-agentmesh/llama_index/agent/agentmesh/worker.py:32-23
  • Duplicated block (6 lines × 2) llama-index-integrations/embeddings/llama-index-embeddings-vertex/tests/test_embeddings_vertex.py:29 — llama-index-integrations/embeddings/llama-index-embeddings-vertex/tests/test_embeddings_vertex.py:29-34 | llama-index-integrations/embeddings/llama-index-embeddings-vertex/tests/test_embeddings_vertex.py:37-42
  • Duplicated block (6 lines × 2) llama-index-integrations/llms/llama-index-llms-vllm/tests/test_integration.py:6 — llama-index-integrations/llms/llama-index-llms-vllm/tests/test_integration.py:6-11 | llama-index-integrations/llms/llama-index-llms-vllm/tests/test_integration.py:12-17
D4 · Code Duplication · Duplicated block (15 lines × 2) · ×5
  • Duplicated block (15 lines × 2) llama-index-core/llama_index/core/readers/file/base.py:8 — llama-index-core/llama_index/core/readers/file/base.py:8-22 | llama-index-core/llama_index/core/readers/file/base.py:32-46
  • Duplicated block (15 lines × 2) llama-index-core/llama_index/core/readers/file/base.py:34 — llama-index-core/llama_index/core/readers/file/base.py:34-48 | llama-index-core/llama_index/core/readers/file/base.py:58-72
  • Duplicated block (15 lines × 2) llama-index-integrations/llms/llama-index-llms-azure-openai/llama_index/llms/azure_openai/responses.py:49 — llama-index-integrations/llms/llama-index-llms-azure-openai/llama_index/llms/azure_openai/responses.py:49-63 | llama-index-integrations/llms/llama-index-llms-azure-openai/llama_index/llms/azure_openai/responses.py:64-78
  • Duplicated block (15 lines × 2) llama-index-integrations/llms/llama-index-llms-langchain/llama_index/llms/langchain/base.py:4 — llama-index-integrations/llms/llama-index-llms-langchain/llama_index/llms/langchain/base.py:4-18 | llama-index-integrations/llms/llama-index-llms-langchain/llama_index/llms/langchain/base.py:28-42
  • Duplicated block (15 lines × 2) llama-index-integrations/readers/llama-index-readers-service-now/tests/test_snow_kb_reader.py:4 — llama-index-integrations/readers/llama-index-readers-service-now/tests/test_snow_kb_reader.py:4-18 | llama-index-integrations/readers/llama-index-readers-service-now/tests/test_snow_kb_reader.py:28-18
D4 · Code Duplication · Duplicated block (8 lines × 2) · ×5
  • Duplicated block (8 lines × 2) llama-index-core/tests/indices/query/test_compose_vector.py:1 — llama-index-core/tests/indices/query/test_compose_vector.py:1-8 | llama-index-core/tests/indices/query/test_compose_vector.py:9-16
  • Duplicated block (8 lines × 2) llama-index-integrations/llms/llama-index-llms-rungpt/llama_index/llms/rungpt/base.py:1 — llama-index-integrations/llms/llama-index-llms-rungpt/llama_index/llms/rungpt/base.py:1-8 | llama-index-integrations/llms/llama-index-llms-rungpt/llama_index/llms/rungpt/base.py:14-21
  • Duplicated block (8 lines × 2) llama-index-integrations/llms/llama-index-llms-sambanovasystems/llama_index/llms/sambanovasystems/base.py:11 — llama-index-integrations/llms/llama-index-llms-sambanovasystems/llama_index/llms/sambanovasystems/base.py:11-18 | llama-index-integrations/llms/llama-index-llms-sambanovasystems/llama_index/llms/sambanovasystems/base.py:20-27
  • Duplicated block (8 lines × 2) llama-index-integrations/postprocessor/llama-index-postprocessor-google-rerank/llama_index/postprocessor/google_rerank/base.py:8 — llama-index-integrations/postprocessor/llama-index-postprocessor-google-rerank/llama_index/postprocessor/google_rerank/base.py:8-15 | llama-index-integrations/postprocessor/llama-index-postprocessor-google-rerank/llama_index/postprocessor/google_rerank/base.py:38-15
  • Duplicated block (8 lines × 2) llama-index-integrations/readers/llama-index-readers-mongodb/llama_index/readers/mongodb/base.py:43 — llama-index-integrations/readers/llama-index-readers-mongodb/llama_index/readers/mongodb/base.py:43-50 | llama-index-integrations/readers/llama-index-readers-mongodb/llama_index/readers/mongodb/base.py:51-58
D4 · Code Duplication · Duplicated block (14 lines × 2) · ×4
  • Duplicated block (14 lines × 2) llama-index-core/llama_index/core/base/llms/types.py:17 — llama-index-core/llama_index/core/base/llms/types.py:17-30 | llama-index-core/llama_index/core/base/llms/types.py:34-47
  • Duplicated block (14 lines × 2) llama-index-core/llama_index/core/indices/tree/select_leaf_retriever.py:3 — llama-index-core/llama_index/core/indices/tree/select_leaf_retriever.py:3-16 | llama-index-core/llama_index/core/indices/tree/select_leaf_retriever.py:17-30
  • Duplicated block (14 lines × 2) llama-index-integrations/graph_stores/llama-index-graph-stores-memgraph/llama_index/graph_stores/memgraph/property_graph.py:37 — llama-index-integrations/graph_stores/llama-index-graph-stores-memgraph/llama_index/graph_stores/memgraph/property_graph.py:37-47 | llama-index-integrations/graph_stores/llama-index-graph-stores-memgraph/llama_index/graph_stores/memgraph/property_graph.py:122-135
  • Duplicated block (14 lines × 2) llama-index-integrations/graph_stores/llama-index-graph-stores-neo4j/llama_index/graph_stores/neo4j/neo4j_property_graph.py:29 — llama-index-integrations/graph_stores/llama-index-graph-stores-neo4j/llama_index/graph_stores/neo4j/neo4j_property_graph.py:29-39 | llama-index-integrations/graph_stores/llama-index-graph-stores-neo4j/llama_index/graph_stores/neo4j/neo4j_property_graph.py:105-118
D4 · Code Duplication · Duplicated block (13 lines × 2) · ×4
  • Duplicated block (13 lines × 2) llama-index-core/llama_index/core/query_engine/sql_join_query_engine.py:38 — llama-index-core/llama_index/core/query_engine/sql_join_query_engine.py:38-50 | llama-index-core/llama_index/core/query_engine/sql_join_query_engine.py:58-70
  • Duplicated block (13 lines × 2) llama-index-integrations/agent/llama-index-agent-azure/llama_index/agent/azure_foundry_agent/base.py:96 — llama-index-integrations/agent/llama-index-agent-azure/llama_index/agent/azure_foundry_agent/base.py:96-108 | llama-index-integrations/agent/llama-index-agent-azure/llama_index/agent/azure_foundry_agent/base.py:112-124
  • Duplicated block (13 lines × 2) llama-index-integrations/llms/llama-index-llms-anthropic/llama_index/llms/anthropic/base.py:15 — llama-index-integrations/llms/llama-index-llms-anthropic/llama_index/llms/anthropic/base.py:15-27 | llama-index-integrations/llms/llama-index-llms-anthropic/llama_index/llms/anthropic/base.py:41-53
  • Duplicated block (13 lines × 2) llama-index-integrations/llms/llama-index-llms-cohere/llama_index/llms/cohere/base.py:36 — llama-index-integrations/llms/llama-index-llms-cohere/llama_index/llms/cohere/base.py:36-48 | llama-index-integrations/llms/llama-index-llms-cohere/llama_index/llms/cohere/base.py:63-75
D4 · Code Duplication · Duplicated block (9 lines × 2) · ×4
  • Duplicated block (9 lines × 2) llama-index-core/tests/indices/vector_store/mock_services.py:1 — llama-index-core/tests/indices/vector_store/mock_services.py:1-8 | llama-index-core/tests/indices/vector_store/mock_services.py:9-17
  • Duplicated block (9 lines × 2) llama-index-instrumentation/src/llama_index_instrumentation/dispatcher.py:13 — llama-index-instrumentation/src/llama_index_instrumentation/dispatcher.py:13-20 | llama-index-instrumentation/src/llama_index_instrumentation/dispatcher.py:103-111
  • Duplicated block (9 lines × 2) llama-index-integrations/llms/llama-index-llms-zhipuai/llama_index/llms/zhipuai/base.py:11 — llama-index-integrations/llms/llama-index-llms-zhipuai/llama_index/llms/zhipuai/base.py:11-19 | llama-index-integrations/llms/llama-index-llms-zhipuai/llama_index/llms/zhipuai/base.py:21-29
  • Duplicated block (9 lines × 2) llama-index-integrations/readers/llama-index-readers-spotify/llama_index/readers/spotify/base.py:18 — llama-index-integrations/readers/llama-index-readers-spotify/llama_index/readers/spotify/base.py:18-26 | llama-index-integrations/readers/llama-index-readers-spotify/llama_index/readers/spotify/base.py:27-35
D2 · Cognitive Complexity · (anonymous) (cognitive 23) · ×3
  • (anonymous) (cognitive 23) docs/src/content/docs/framework/javascript/algolia.js:3893 — (anonymous) has cognitive complexity 23 (threshold 15).
  • (anonymous) (cognitive 23) docs/src/content/docs/framework/_static/js/algolia.js:3893 — (anonymous) has cognitive complexity 23 (threshold 15).
  • (anonymous) (cognitive 23) llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:1851 — (anonymous) has cognitive complexity 23 (threshold 15).
D2 · Cognitive Complexity · (anonymous) (cognitive 21) · ×3
  • (anonymous) (cognitive 21) docs/src/content/docs/framework/javascript/algolia.js:1932 — (anonymous) has cognitive complexity 21 (threshold 15).
  • (anonymous) (cognitive 21) docs/src/content/docs/framework/_static/js/algolia.js:1932 — (anonymous) has cognitive complexity 21 (threshold 15).
  • (anonymous) (cognitive 21) llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:691 — (anonymous) has cognitive complexity 21 (threshold 15).
D3 · God Classes · FileTooLong · ×3
  • FileTooLong: javascript/algolia.js docs/src/content/docs/framework/javascript/algolia.js:0 — FileTooLong — 7252 lines.
  • FileTooLong: js/algolia.js docs/src/content/docs/framework/_static/js/algolia.js:0 — FileTooLong — 7254 lines.
  • FileTooLong: readability_web/Readability.js llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:0 — FileTooLong — 2613 lines.
D1 · Cyclomatic Complexity · q (cyclomatic 47) · ×2
  • q (cyclomatic 47) docs/src/content/docs/framework/javascript/algolia.js:450 — q has cyclomatic complexity 47 (threshold 15).
  • q (cyclomatic 47) docs/src/content/docs/framework/_static/js/algolia.js:450 — q has cyclomatic complexity 47 (threshold 15).
D1 · Cyclomatic Complexity · M (cyclomatic 44) · ×2
  • M (cyclomatic 44) docs/src/content/docs/framework/javascript/algolia.js:572 — M has cyclomatic complexity 44 (threshold 15).
  • M (cyclomatic 44) docs/src/content/docs/framework/_static/js/algolia.js:572 — M has cyclomatic complexity 44 (threshold 15).
D1 · Cyclomatic Complexity · D (cyclomatic 43) · ×2
  • D (cyclomatic 43) docs/src/content/docs/framework/javascript/algolia.js:302 — D has cyclomatic complexity 43 (threshold 15).
  • D (cyclomatic 43) docs/src/content/docs/framework/_static/js/algolia.js:302 — D has cyclomatic complexity 43 (threshold 15).
D1 · Cyclomatic Complexity · N (cyclomatic 34) · ×2
  • N (cyclomatic 34) docs/src/content/docs/framework/javascript/algolia.js:408 — N has cyclomatic complexity 34 (threshold 15).
  • N (cyclomatic 34) docs/src/content/docs/framework/_static/js/algolia.js:408 — N has cyclomatic complexity 34 (threshold 15).
D1 · Cyclomatic Complexity · vnode (cyclomatic 26) · ×2
  • vnode (cyclomatic 26) docs/src/content/docs/framework/javascript/algolia.js:1188 — vnode has cyclomatic complexity 26 (threshold 15).
  • vnode (cyclomatic 26) docs/src/content/docs/framework/_static/js/algolia.js:1188 — vnode has cyclomatic complexity 26 (threshold 15).
D1 · Cyclomatic Complexity · rr (cyclomatic 22) · ×2
  • rr (cyclomatic 22) docs/src/content/docs/framework/javascript/algolia.js:4402 — rr has cyclomatic complexity 22 (threshold 15).
  • rr (cyclomatic 22) docs/src/content/docs/framework/_static/js/algolia.js:4402 — rr has cyclomatic complexity 22 (threshold 15).
D1 · Cyclomatic Complexity · (anonymous) (cyclomatic 19) · ×2
  • (anonymous) (cyclomatic 19) docs/src/content/docs/framework/javascript/algolia.js:3893 — (anonymous) has cyclomatic complexity 19 (threshold 15).
  • (anonymous) (cyclomatic 19) docs/src/content/docs/framework/_static/js/algolia.js:3893 — (anonymous) has cyclomatic complexity 19 (threshold 15).
D1 · Cyclomatic Complexity · Eo (cyclomatic 18) · ×2
  • Eo (cyclomatic 18) docs/src/content/docs/framework/javascript/algolia.js:6648 — Eo has cyclomatic complexity 18 (threshold 15).
  • Eo (cyclomatic 18) docs/src/content/docs/framework/_static/js/algolia.js:6648 — Eo has cyclomatic complexity 18 (threshold 15).
D1 · Cyclomatic Complexity · e (cyclomatic 18) · ×2
  • e (cyclomatic 18) docs/src/content/docs/framework/javascript/algolia.js:7139 — e has cyclomatic complexity 18 (threshold 15).
  • e (cyclomatic 18) docs/src/content/docs/framework/_static/js/algolia.js:7139 — e has cyclomatic complexity 18 (threshold 15).
D1 · Cyclomatic Complexity · Mr (cyclomatic 17) · ×2
  • Mr (cyclomatic 17) docs/src/content/docs/framework/javascript/algolia.js:5435 — Mr has cyclomatic complexity 17 (threshold 15).
  • Mr (cyclomatic 17) docs/src/content/docs/framework/_static/js/algolia.js:5435 — Mr has cyclomatic complexity 17 (threshold 15).
D2 · Cognitive Complexity · q (cognitive 56) · ×2
  • q (cognitive 56) docs/src/content/docs/framework/javascript/algolia.js:450 — q has cognitive complexity 56 (threshold 15).
  • q (cognitive 56) docs/src/content/docs/framework/_static/js/algolia.js:450 — q has cognitive complexity 56 (threshold 15).
D2 · Cognitive Complexity · D (cognitive 54) · ×2
  • D (cognitive 54) docs/src/content/docs/framework/javascript/algolia.js:302 — D has cognitive complexity 54 (threshold 15).
  • D (cognitive 54) docs/src/content/docs/framework/_static/js/algolia.js:302 — D has cognitive complexity 54 (threshold 15).
D2 · Cognitive Complexity · M (cognitive 49) · ×2
  • M (cognitive 49) docs/src/content/docs/framework/javascript/algolia.js:572 — M has cognitive complexity 49 (threshold 15).
  • M (cognitive 49) docs/src/content/docs/framework/_static/js/algolia.js:572 — M has cognitive complexity 49 (threshold 15).
D2 · Cognitive Complexity · N (cognitive 38) · ×2
  • N (cognitive 38) docs/src/content/docs/framework/javascript/algolia.js:408 — N has cognitive complexity 38 (threshold 15).
  • N (cognitive 38) docs/src/content/docs/framework/_static/js/algolia.js:408 — N has cognitive complexity 38 (threshold 15).
D2 · Cognitive Complexity · vnode (cognitive 38) · ×2
  • vnode (cognitive 38) docs/src/content/docs/framework/javascript/algolia.js:1188 — vnode has cognitive complexity 38 (threshold 15).
  • vnode (cognitive 38) docs/src/content/docs/framework/_static/js/algolia.js:1188 — vnode has cognitive complexity 38 (threshold 15).
D2 · Cognitive Complexity · Eo (cognitive 17) · ×2
  • Eo (cognitive 17) docs/src/content/docs/framework/javascript/algolia.js:6648 — Eo has cognitive complexity 17 (threshold 15).
  • Eo (cognitive 17) docs/src/content/docs/framework/_static/js/algolia.js:6648 — Eo has cognitive complexity 17 (threshold 15).
D2 · Cognitive Complexity · Mr (cognitive 16) · ×2
  • Mr (cognitive 16) docs/src/content/docs/framework/javascript/algolia.js:5435 — Mr has cognitive complexity 16 (threshold 15).
  • Mr (cognitive 16) docs/src/content/docs/framework/_static/js/algolia.js:5435 — Mr has cognitive complexity 16 (threshold 15).
D2 · Cognitive Complexity · e (cognitive 16) · ×2
  • e (cognitive 16) docs/src/content/docs/framework/javascript/algolia.js:7139 — e has cognitive complexity 16 (threshold 15).
  • e (cognitive 16) docs/src/content/docs/framework/_static/js/algolia.js:7139 — e has cognitive complexity 16 (threshold 15).
D4 · Code Duplication · Duplicated block (18 lines × 2) · ×2
  • Duplicated block (18 lines × 2) llama-index-integrations/llms/llama-index-llms-sambanovasystems/llama_index/llms/sambanovasystems/base.py:123 — llama-index-integrations/llms/llama-index-llms-sambanovasystems/llama_index/llms/sambanovasystems/base.py:123-140 | llama-index-integrations/llms/llama-index-llms-sambanovasystems/llama_index/llms/sambanovasystems/base.py:181-198
  • Duplicated block (18 lines × 2) llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/tabular/base.py:21 — llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/tabular/base.py:21-38 | llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/tabular/base.py:54-65
D4 · Code Duplication · Duplicated block (17 lines × 2) · ×2
  • Duplicated block (17 lines × 2) llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/firecrawl_web/base.py:10 — llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/firecrawl_web/base.py:10-17 | llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/firecrawl_web/base.py:316-332
  • Duplicated block (17 lines × 2) llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-tablestore/llama_index/storage/chat_store/tablestore/base.py:13 — llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-tablestore/llama_index/storage/chat_store/tablestore/base.py:13-29 | llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-tablestore/llama_index/storage/chat_store/tablestore/base.py:32-48
D4 · Code Duplication · Duplicated block (7 lines × 2) · ×2
  • Duplicated block (7 lines × 2) llama-index-core/llama_index/core/base/embeddings/base.py:4 — llama-index-core/llama_index/core/base/embeddings/base.py:4-10 | llama-index-core/llama_index/core/base/embeddings/base.py:30-10
  • Duplicated block (7 lines × 2) llama-index-core/tests/response_synthesizers/test_compact_and_accumulate.py:33 — llama-index-core/tests/response_synthesizers/test_compact_and_accumulate.py:33-39 | llama-index-core/tests/response_synthesizers/test_compact_and_accumulate.py:40-46
D1 · Cyclomatic Complexity · _grabArticle (cyclomatic 96) · ×1
  • _grabArticle (cyclomatic 96) llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:1019 — _grabArticle has cyclomatic complexity 96 (threshold 15).
D1 · Cyclomatic Complexity · (anonymous) (cyclomatic 38) · ×1
  • (anonymous) (cyclomatic 38) llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:2347 — (anonymous) has cyclomatic complexity 38 (threshold 15).
D1 · Cyclomatic Complexity · (anonymous) (cyclomatic 26) · ×1
  • (anonymous) (cyclomatic 26) llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:1609 — (anonymous) has cyclomatic complexity 26 (threshold 15).
D1 · Cyclomatic Complexity · (anonymous) (cyclomatic 24) · ×1
  • (anonymous) (cyclomatic 24) llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:2240 — (anonymous) has cyclomatic complexity 24 (threshold 15).
D1 · Cyclomatic Complexity · _getArticleMetadata (cyclomatic 20) · ×1
  • _getArticleMetadata (cyclomatic 20) llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:1709 — _getArticleMetadata has cyclomatic complexity 20 (threshold 15).
D16 · Bus Factor · single-maintainer · ×1
  • single-maintainer — knowledge-concentration (bus factor) risk — single-maintainer — knowledge-concentration (bus factor) risk (0 author(s) across 0 commit(s) sampled).
D19 · Documentation Quality · LLM evaluation failed · ×1
  • LLM evaluation failed — JSON parse error: Expected end of string, but instead reached end of data. Path: $.findings[1] | LineNumber: 0 | BytePositionInLine: 993.
D2 · Cognitive Complexity · _grabArticle (cognitive 222) · ×1
  • _grabArticle (cognitive 222) llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:1019 — _grabArticle has cognitive complexity 222 (threshold 15).
D2 · Cognitive Complexity · (anonymous) (cognitive 53) · ×1
  • (anonymous) (cognitive 53) llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:2347 — (anonymous) has cognitive complexity 53 (threshold 15).
D2 · Cognitive Complexity · (anonymous) (cognitive 38) · ×1
  • (anonymous) (cognitive 38) llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:1609 — (anonymous) has cognitive complexity 38 (threshold 15).
D2 · Cognitive Complexity · (anonymous) (cognitive 37) · ×1
  • (anonymous) (cognitive 37) llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:2240 — (anonymous) has cognitive complexity 37 (threshold 15).
D2 · Cognitive Complexity · _getArticleTitle (cognitive 19) · ×1
  • _getArticleTitle (cognitive 19) llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:567 — _getArticleTitle has cognitive complexity 19 (threshold 15).
D2 · Cognitive Complexity · _getArticleMetadata (cognitive 19) · ×1
  • _getArticleMetadata (cognitive 19) llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:1709 — _getArticleMetadata has cognitive complexity 19 (threshold 15).
D2 · Cognitive Complexity · _markDataTables (cognitive 17) · ×1
  • _markDataTables (cognitive 17) llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js:2183 — _markDataTables has cognitive complexity 17 (threshold 15).
D36 · Supply-chain Provenance & Signing · Unpinned build actions · ×1
  • Unpinned build actions — CI references GitHub Actions by a floating ref (@main / @tag) rather than a pinned commit SHA, weakening build integrity.
D4 · Code Duplication · Duplicated block (23 lines × 2) · ×1
  • Duplicated block (23 lines × 2) llama-index-core/llama_index/core/agent/workflow/react_agent.py:39 — llama-index-core/llama_index/core/agent/workflow/react_agent.py:39-60 | llama-index-core/llama_index/core/agent/workflow/react_agent.py:73-95
D4 · Code Duplication · Duplicated block (21 lines × 3) · ×1
  • Duplicated block (21 lines × 3) llama-index-integrations/llms/llama-index-llms-bedrock-converse/llama_index/llms/bedrock_converse/base.py:78 — llama-index-integrations/llms/llama-index-llms-bedrock-converse/llama_index/llms/bedrock_converse/base.py:78-97 | llama-index-integrations/llms/llama-index-llms-bedrock-converse/llama_index/llms/bedrock_converse/base.py:135-155 | llama-index-integrations/llms/llama-index-llms-bedrock-converse/llama_index/llms/bedrock_converse/base.py:182-201
D4 · Code Duplication · Duplicated block (21 lines × 2) · ×1
  • Duplicated block (21 lines × 2) llama-index-integrations/postprocessor/llama-index-postprocessor-nvidia-rerank/llama_index/postprocessor/nvidia_rerank/base.py:11 — llama-index-integrations/postprocessor/llama-index-postprocessor-nvidia-rerank/llama_index/postprocessor/nvidia_rerank/base.py:11-20 | llama-index-integrations/postprocessor/llama-index-postprocessor-nvidia-rerank/llama_index/postprocessor/nvidia_rerank/base.py:50-70
D4 · Code Duplication · Duplicated block (19 lines × 2) · ×1
  • Duplicated block (19 lines × 2) llama-index-integrations/readers/llama-index-readers-service-now/llama_index/readers/service_now/base.py:5 — llama-index-integrations/readers/llama-index-readers-service-now/llama_index/readers/service_now/base.py:5-23 | llama-index-integrations/readers/llama-index-readers-service-now/llama_index/readers/service_now/base.py:56-24
D4 · Code Duplication · Duplicated block (7 lines × 3) · ×1
  • Duplicated block (7 lines × 3) llama-index-integrations/embeddings/llama-index-embeddings-vertex/tests/test_embeddings_vertex.py:19 — llama-index-integrations/embeddings/llama-index-embeddings-vertex/tests/test_embeddings_vertex.py:19-25 | llama-index-integrations/embeddings/llama-index-embeddings-vertex/tests/test_embeddings_vertex.py:31-1 | llama-index-integrations/embeddings/llama-index-embeddings-vertex/tests/test_embeddings_vertex.py:39-1
D4 · Code Duplication · Duplicated block (5 lines × 3) · ×1
  • Duplicated block (5 lines × 3) llama-index-core/tests/response_synthesizers/test_compact_and_accumulate.py:27 — llama-index-core/tests/response_synthesizers/test_compact_and_accumulate.py:27-31 | llama-index-core/tests/response_synthesizers/test_compact_and_accumulate.py:38-42 | llama-index-core/tests/response_synthesizers/test_compact_and_accumulate.py:45-49
D8 · Code Coverage · Coverage not measured · ×1
  • Coverage not measured — test suite did not build — Coverage NOT MEASURED: the repo's own test suite did not build (a C#/MSBuild compiler error in the test code), so no coverage could be collected. It is excluded from the score rather than counted as a near-zero defect. Fix the test build, or commit the Cobertura/OpenCover/lcov report your CI already produces, and real coverage will be measured.
Recommendation — 6 finding(s)
D11 · Test Reliability · Test reliability not included · ×1
  • Test reliability not included — No test projects found, so reliability couldn't be assessed.
D15 · Churn × Complexity Hotspots · single-commit history · ×1
  • single-commit history — no usable git history window to measure hotspots — single-commit history — no usable git history window to measure hotspots: a single-commit clone exposes no history window, so the churn × complexity hotspot signal is unavailable — not scored for this run.
D34 · Knowledge Freshness · early-stage repository · ×1
  • early-stage repository — too little history to judge knowledge freshness — early-stage repository — too little history to judge knowledge freshness (0 commit(s) sampled).
D36 · Supply-chain Provenance & Signing · No artifact signing · ×1
  • No artifact signing — No artifact signing found in CI (e.g. cosign / sigstore / gitsign).
D36 · Supply-chain Provenance & Signing · No SBOM · ×1
  • No SBOM — No SBOM generation or committed SBOM found (e.g. syft / anchore/sbom-action / *.spdx.json / *.cdx.json).
D9 · Test Distribution · No tests found · ×1
  • No tests found — No test projects found in the repository.
Info — 1 finding(s)
D22 · Internal API Consistency · No exposed public API · ×1
  • No exposed public API — No intentionally-exposed types (IsPackable or .Contracts) to evaluate.

Appendix B — Reproduction & audit trail

Every external tool invocation behind a deep-scan dimension — the tool, its captured version, the exact command, how many findings it yielded, and a link to the retained raw output. To reproduce any finding: check out the same commit and run the command shown (repo-relative — never an absolute scratch path). The complete raw scanner output is retained verbatim under artifacts/raw/ (indexed in artifacts/raw/index.json); per-invocation exit codes and wall-clock durations are in sidecar.json — kept out of this table so the rendered report stays byte-identical across runs of the same commit.

DimensionToolVersionCommandFindingsRaw output
D28 · Secrets (history)gitleaksgitleaks detect --no-banner --report-format json --report-path /dev/stdout --exit-code 0 --source .609artifacts/raw/gitleaks-history.json
D29 · Static Analysis (SAST)semgrepsemgrep --config /opt/semgrep-rules/security-audit.yml --config /opt/semgrep-rules/owasp-top-ten.yml --json --quiet --timeout 0 --metrics off .0
D30 · Dependency Vulnerabilitiesdotnet (no .NET solution)dotnet (no .NET solution): not present in this environment0
D31 · IaC & Container Securitytrivytrivy: not applicable — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.0
D32 · Data Compliance (PII/GDPR)semgrepsemgrep: not applicable — No PII/GDPR ruleset is bundled (the public p/gdpr semgrep pack was retired) — data compliance is not assessed in this scan.0
D33 · JS/npm Dependency Vulnerabilitiestrivytrivy: not applicable — No JS/npm manifest or lockfile found outside bin/obj (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.0
D38 · OSV Dependency Vulnerabilitiesosv-scannerosv-scanner: not applicable — No JS/npm lockfile found outside bin/obj (package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); nothing for OSV to scan.0

Run 019fdac4-d6f1-7040-94b2-47565f1e22ba · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.

Downloadable artifacts

Machine-readable and reproducible from this commit + frozen rubric — drop them straight into a contract appendix, a CRA dossier, or a downstream SCA / VEX tool.

⬇ Findings, MITRE CWE-tagged .sarif⬇ Health changelog .md