farmbot_os — Watchdog Audit

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.

FarmBot/farmbot_os carries serious gaps (48%). 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 (100%) — the structure is clean and changes stay contained. Code Health (96%) is solid too.

The area that most needs attention is Maturity (35%) — onboarding is slow — key decisions and the architecture aren't written down, so contributors have to reverse-engineer the intent. Security (44%) is the next concern — exposure to security and compliance incidents is elevated.

Leadership focus, highest impact first: Record significant decisions one document per decision (Architecture documentation); Reconcile the README with reality (Documentation accuracy); 1 The README is a single link pointing to the official FarmBot… (Documentation Quality).

For scale: Medium (~25,905 production lines); rebuilding it from scratch would take roughly ~0.2 person-years (~1 engineer). Approximate, ±~30%.

It builds on a genuinely strong Architecture foundation (100%); the priorities above are the highest-leverage way to bring the rest up to that level.

Code Health 96% ★ Exemplary Architecture 100% ★ Exemplary Maturity 35% Weak · gated by D34, M2, M4 Readiness 55% Adequate · gated by P3 Security 44% Weak · gated by D28, D36

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.

Maturity 35% · 47% weightSecurity 44% · 26% weightReadiness 55% · 14% weightCode Health 96% · 8% weightArchitecture 100% · 4% weight

Raise Maturity 35 → 70 (the Healthy floor) ⇒ headline 48 → ~57.

Code composition — where the lines go

Tests 100%

New since the last scan (1+)

1 finding(s) are new versus the previous scan (2026-08-01) — surfaced by this scheduled scan itself, no pull request required.

P12 · Coverage collected but not gated

A full-fidelity diff against the previous run's complete recorded findings — line-move tolerant: a finding that only shifted line counts as unchanged, only genuinely new titles/files surface here.

Rebuild cost & value ~ Modeled — €11,000–€56,000

Cost to rebuild	€11,000–€56,000 (0.1–0.4 person-years (186–590 h), ~1 engineer)
Domain complexity	Standard — harder problems cost more per line
Quality factor	0.7× (at 48% quality) — the last 20% of quality is most of the work
Size & shape	Medium · effort split not classified (source measured from disk; the effort-tier breakdown is a C#-only syntax walk)

This codebase represents roughly ~0.2 person-years of build effort (about ~€34,000 to rebuild). Its weakest lens is Maturity at 35% — the part of that asset most exposed by the findings below.

How we model this: boilerplate at a scaffolding rate + logic × domain Standard (×1.0) — standard service × a 0.7× quality factor, at €60–95/h; indicative, ±~30% · size measured directly from source · effort from total production LoC as straight-line logic (the tier split is a C#-only syntax walk), a conservative lower bound. Indicative only — most sensitive to the hourly rate and the domain tier (both tunable in config).

Top priorities

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

Resolve the 1 The README is a single link pointing to the official FarmBot OS… finding(s) in Documentation Quality — start with README.md.

+8.4 pts · Low effort · Documentation Quality

Resolve the 3 Largest orphaned file finding(s) in Knowledge Freshness — start with Image.py, device.py, PlantDetection.py.

+7.3 pts · Low effort · Knowledge Freshness

Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).

+13.1 pts · Medium effort · Architecture documentation

Diagnosis — what's actually going on

Value concentrated against a weak lens · High · Value at risk

This is a Medium asset (~0.2 person-years to rebuild), and its weakest lens is Maturity at 35%. The operational and business risk on an asset this size concentrates there — that's where remediation buys the most protection.

Evidence: valuation: Medium, ~0.2 person-years rebuild (25,905 LoC) · weakest lens: Maturity 35%

→ Direct remediation budget at Maturity first — highest risk-reduction per euro on an asset this size.

Highest-leverage move · Medium · Leverage

Of everything flagged, the best return on effort is: Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form). The rest can wait behind it.

Evidence: priority ranking: top of 5 ranked by impact/effort

→ Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).

Architecture — module dependency matrix

75 modules, 9 dependencies — every dependency points down the layering, so there are no cycles. Rows and columns are the same modules, ordered so that a module only depends on ones above it. A cell means the row depends on the column, and its number is how many type pairs create that dependency. Read one thing: is anything above the diagonal? A mark there is a dependency cycle. (A cycle is all this shows — an unusual but cycle-free dependency sits below the diagonal like any other.)

At a glance — Code Health · 96% · Exemplary

The Good

D1 · Elixir Cyclomatic Complexity 9.7 D2 · Elixir Cognitive Complexity 9.7 D3 · Elixir God Classes 9.1 D4 · Elixir Code Duplication 9.9

At a glance — Architecture · 100% · Exemplary

The Good

D35 · Elixir Change Coupling 10.0

At a glance — Maturity · 35% · Weak · gated by D34, M2, M4

The Good

D15 · Elixir Churn × Complexity Hotspots 10.0 D16 · Elixir Bus Factor 9.3 D21 · Elixir Naming Consistency 10.0 M1 · Repo Documentation (README) 7.3 M3 · Repo Folder & project structure 10.0

The Ugly

D19 · Elixir Documentation Quality 4.0 D34 · Elixir Knowledge Freshness 1.1 M2 · Repo Architecture documentation 0.0 M4 · Repo Documentation accuracy 1.0

At a glance — Readiness · 55% · Adequate · gated by P3

The Good

D13 · Elixir Secret Scanning 10.0 P1 · Repo CI/CD gates 10.0 P6 · Repo Release Hygiene 10.0

The Bad

P4 · Repo Deployment & Rollback 5.0

The Ugly

P3 · Repo Security & performance tooling 0.0

At a glance — Security · 44% · Weak · gated by D28, D36

The Good

D37 · Elixir Vulnerability-disclosure Policy 10.0

The Bad

D29 · Elixir Static Analysis (SAST) 6.0 D38 · Elixir OSV Dependency Vulnerabilities 6.1

The Ugly

D28 · Elixir Secrets (history) 0.0 D36 · Elixir Supply-chain Provenance & Signing 0.0

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 category	Findings	Severity
A06:2021 — Vulnerable & Outdated Components	7	High / Critical
A03:2021 — Injection	3	High / Critical
A02:2021 — Cryptographic Failures	2	High / Critical

Roadmap

Begin by establishing a formal architecture record, creating dated decision documents that capture context and consequences in a central location. Simultaneously, reconcile the README with current reality by removing outdated references to older FarmBot OS versions. Next, address the single critical finding in documentation quality by updating the README to include a high-level 'Architecture' or 'How it works' section. Finally, improve knowledge freshness by resolving the three largest orphaned files, specifically Image.py, device.py, and PlantDetection.py.

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

Do this	Helps	Effort	Dimension
Resolve the 1 The README is a single link pointing to the official FarmBot OS… finding(s) in Documentation Quality — start with README.md.	+8.4 pts	Low	Documentation Quality
Resolve the 3 Largest orphaned file finding(s) in Knowledge Freshness — start with Image.py, device.py, PlantDetection.py.	+7.3 pts	Low	Knowledge Freshness
Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).	+13.1 pts	Medium	Architecture documentation
Reconcile the README with reality: README claims FarmBot OS support for old versions but the evidence shows only new FBOS release pages.	+13.1 pts	Medium	Documentation accuracy
Add an 'Architecture' / 'How it works' section to the root README — the high-level shape.	+8.0 pts	Medium	Documentation (README)
Resolve the 1 Concentrated knowledge decay finding(s) in Knowledge Freshness.	+3.5 pts	Low	Knowledge Freshness
Add a SAST step to CI running what this repository's stack ships: sobelow (Elixir/Phoenix) — or `semgrep --config=auto`, which runs on any language — so a security regression fails the build instead of landing.	+6.2 pts	Medium	Security & performance tooling
Nothing pauses a release for a human: publish as a draft release (or gate the release job on a protected tag/manual dispatch) so a bad build can be stopped before users can download it.	+6.2 pts	Medium	Deployment & Rollback

File quality

Per-file score 0–10 — a quality signature. Of 11 files carrying findings, judged against the Production bar: 9% slop · 46% mixed · 45% near-clean.

File	Score	Band	Worst signal
mix.lock	2.4	Slop	OSV Dependency Vulnerabilities: High CVE: [GHSA redacted]
priv/farmware/measure-soil-height/.github/workflows/main.yml	5.1	Mixed	Static Analysis (SAST): High: github-actions-mutable-action-tag
lib/os/lua/data_manipulation.ex	7.2	Mixed	Cyclomatic Complexity: DataManipulation.filter_point (cyclomatic 19)
config/config.exs	7.2	Mixed	Secrets (history): Secret: generic-api-key
lib/core/asset.ex	7.4	Mixed	God Classes: TooManyMethods: Asset
lib/os/sys_calls/pin_control.ex	7.8	Mixed	Code Duplication: Duplicated block (11 lines × 2)
lib/celery/sys_calls/stubs.ex	8.5	Near-clean	God Classes: TooManyMethods: Stubs
lib/core/bot_state.ex	8.5	Near-clean	God Classes: TooManyMethods: BotState
lib/celery/compilers/move_compiler.ex	8.5	Near-clean	God Classes: TooManyMethods: Move
lib/celery/compilers/axis_control_compiler.ex	8.5	Near-clean	Code Duplication: Duplicated block (13 lines × 2)
README.md	9.5	Near-clean	Documentation Quality: The README is a single link pointing to the official FarmBot OS documentation; there is no installation or configuration guide for setting up FBOS on a device.

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. 22 of 24 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 2 documentation/naming judgement(s) are LLM-assisted and labelled advisory. Overall confidence is 0.6 — 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 — 24 dimensions across the health lenses

D1D2D3D4D13D15D16D19D21D28D29D34D35D36D37D38M1M2M3M4P1P3P4P6

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

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, 28 of 38 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.)
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.
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.

Method	Backs	Version	Evaluator
Roslyn static analysis	Complexity, cohesion, coupling, dead code, API surface, layering	5.3.0	✓ deterministic
Native secret scanner	Hardcoded secrets / credentials	1.0.0	✓ deterministic
jscpd	Code duplication	—	✓ deterministic
Coverage (coverlet / dotnet-coverage)	Line & branch coverage	10.0.302	✓ deterministic
NuGet / dotnet	Outdated, vulnerable & deprecated dependencies	10.0.302	✓ deterministic
git / LibGit2Sharp	Churn hotspots, knowledge concentration, history	2.43.0 · 0.31.0	✓ deterministic
gitleaks · semgrep · trivy	Secrets in history, SAST, CVEs, IaC & container, PII / GDPR	1.86.0 · 0.69.3	✓ deterministic
LLM (sampled · advisory)	Documentation quality, ADR conformance, naming — sampled over a bounded sample; advisory, never a deterministic measurement	Local LLM	◐ LLM · sampled · advisory

Every finding is locatable in findings.md. Run 019fd4b6-3301-74ee-b0a7-d6681c59608a.

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.

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.

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 (scaffolded migrations, designer/codegen output, protobuf/OpenAPI stubs, model snapshots) is EXCLUDED — its repetition is the tool's, not the team's — so the score reflects hand-written duplication only.
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").
D15 Churn × Complexity Hotspots: Churn hotspots come from git history — a freshly imported or squashed repository has no churn signal, and recent rewrites can mask a historically risky file.
D16 Bus Factor: Bus-factor is a time-decayed model of commit attribution (who has recently, repeatedly worked a file), not comprehension — pairing, review and reading-without-committing spread knowledge it can't see; bot commits and shared accounts still distort it.
D19 Documentation Quality: Documentation quality is judged by an LLM over a bounded sample of docs — it reads what is written, not whether the docs match the running system, and it is advisory, not a measurement.
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.
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").
D34 Knowledge Freshness: Freshness is decayed commit RECENCY, not comprehension — code read often but rarely committed reads as orphaned, and stable code that genuinely needs no changes is penalised the same as forgotten code; bot/squash commits distort it like the bus factor.
D35 Change Coupling: Change coupling is co-change in COMMITS — files split across separate commits, or coupled only through a shared config/build step, read as uncoupled, and a sweeping commit (rename/format) is excluded so it doesn't couple everything. It shows that files change together, not WHY: a high coupling can be a healthy cohesive pair as readily as a hidden leak.
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".
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 (3): D19, 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 Complexity9.7 / 10Exemplary✓ 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: Documented → Verified → Prevented · effective 9.7 / 10 · rule-coverage 100% · ceiling Prevented

1 method(s) exceeded the cyclomatic complexity threshold of 15; the worst was DataManipulation.filter_point at 19.

DataManipulation.filter_point (cyclomatic 19)lib/os/lua/data_manipulation.ex:272

✓ On the Gold path — maintain.

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

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D2 · Cognitive Complexity9.7 / 10Exemplary✓ 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: Documented → Verified → Prevented · effective 9.7 / 10 · rule-coverage 100% · ceiling Prevented

1 method(s) exceeded the cognitive complexity threshold of 15; the worst was DataManipulation.filter_point at 18.

DataManipulation.filter_point (cognitive 18)lib/os/lua/data_manipulation.ex:272

✓ On the Gold path — maintain.

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

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D3 · God Classes9.1 / 10Exemplary✓ 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: Documented → Verified → Prevented · effective 9.1 / 10 · rule-coverage 100% · ceiling Prevented

6 god class(es) detected.

TooManyMethods: Asset · ×5lib/core/asset.ex:1

FileTooLong: core/asset.exlib/core/asset.ex:0

✓ On the Gold path — maintain.

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

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D4 · Code Duplication9.9 / 10Exemplary✓ 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: Documented → Verified → Prevented · effective 9.9 / 10 · rule-coverage 100% · ceiling Verified

5 duplicated block group(s) detected.

Duplicated block (13 lines × 2)lib/celery/compilers/axis_control_compiler.ex:22

Duplicated block (11 lines × 2)lib/os/sys_calls/pin_control.ex:147

Duplicated block (9 lines × 2)lib/os/lua/data_manipulation.ex:239

Duplicated block (8 lines × 2)lib/core/asset.ex:314

Duplicated block (7 lines × 2)lib/os/sys_calls/pin_control.ex:27

✓ On the Gold path — maintain.

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

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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: Documented → Verified → Prevented · 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.

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D15 · Churn × Complexity Hotspots10.0 / 10Exemplary✓ Tool-verified

What it measures: Files that change often and are also complex — the riskiest hotspots.

Method: Per production file churn times cyclomatic complexity over a rolling window, computed from git and Roslyn/JS/Razor analysis. Exhaustive, deterministic per commit date.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No churn × complexity hotspots in the window.

✓ On the Gold path — maintain.

Detailed fixes: d15_recommendation.md.

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D16 · Bus Factor9.3 / 10Exemplary✓ Tool-verified

What it measures: Whether knowledge is concentrated in too few people (the "bus factor").

Method: Living knowledge per author via time-decayed commit attribution (6-month half-life, focus weighting) across largest source files. Deterministic, avoids blame's mechanical-refactor false positives.

Maturity: Documented → Verified → Prevented · effective 9.3 / 10 · rule-coverage 100% · ceiling Documented

6 source file(s) have their living knowledge concentrated in one author (≥90% of recent, decayed contribution). The largest is lib/os/lua/data_manipulation.ex.

Off-boarding risk: anonymized user #1

✓ On the Gold path — maintain.

Detailed fixes: d16_recommendation.md · top locations in Appendix A, every location in findings.md.

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D19 · Documentation Quality / 10Weak◐ Sampled · advisory

What it measures: Whether the project's documentation is clear, complete, and useful.

Method: Judged by language model at low temperature (0.0-0.1) on a deterministic doc sample (READMEs plus first 25 architecture docs), with two-pass stability filtering. Advisory, sampled.

Maturity: Documented → Verified → Prevented · effective Weak / 10 · rule-coverage 100% · ceiling Documented

The FarmBot OS README is thin and only serves as a link to the official documentation for installing FBOS on a device, with no real installation or configuration guidance. It links out to support policy, build status, problem submission, security guidelines, and contribution docs but does not explain how to get started running FBOS locally.

The README is a single link pointing to the official FarmBot OS documentation; there is no installation or configuration guide for setting up FBOS on a device.README.md

What to do

Resolve the 1 The README is a single link pointing to the official FarmBot OS… finding(s) in Documentation Quality — start with README.md. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d19_recommendation.md · top locations in Appendix A, every location in findings.md.

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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: Documented → Verified → Prevented · 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.

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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: Documented → Verified → Prevented · effective 0.0 / 10 · rule-coverage 100% · ceiling Documented

13 finding(s): 0 critical, 13 high, 0 medium, 0 low. Remediation for historically-committed secrets is credential rotation — they remain in history regardless of later deletion.

Secret: generic-api-keyconfig/config.exs:29detected by gitleaks finding

Rotate the exposed credentials — git history can't be un-committed

What to do

Resolve the 1 Secret finding(s) in Secrets (history) — start with config.exs. — One of this dimension's main actionable groups (1 issue-level).
Resolve the 1 Rotate the exposed credentials finding(s) in Secrets (history). — One of this dimension's main actionable groups (1 recommendation-level).

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

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D29 · Static Analysis (SAST)6.0 / 10Adequate✓ Tool-verified

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: Documented → Verified → Prevented · effective 6.0 / 10 · rule-coverage 100% · ceiling Documented

3 finding(s): 0 critical, 3 high, 0 medium, 0 low.

High: github-actions-mutable-action-tag · ×3priv/farmware/measure-soil-height/.github/workflows/main.yml:11detected by semgrep finding

What to do

Resolve the 3 High finding(s) in Static Analysis (SAST) — start with main.yml (3). — One of this dimension's main actionable groups (3 issue-level).

Detailed fixes: d29_recommendation.md · top locations in Appendix A, every location in findings.md.

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D34 · Knowledge Freshness1.1 / 10Critical✓ Tool-verified

What it measures: Whether anyone still has living knowledge of each file, or it has been orphaned — last understood long ago by someone now gone quiet. The sibling of the bus factor: D16 asks who owns it, D34 asks whether anyone still knows it.

Method: File orphaning as total living-knowledge decay below one focused-commit's worth within a year, computed per-file from the D16 decay model. Exhaustive, deterministic over fixed history.

Maturity: Documented → Verified → Prevented · effective 1.1 / 10 · rule-coverage 100% · ceiling Documented

94 of 105 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is priv/farmware/plant_detection/Image.py.

Largest orphaned file · ×3priv/farmware/plant_detection/Image.py

Concentrated knowledge decay

What to do

Resolve the 3 Largest orphaned file finding(s) in Knowledge Freshness — start with Image.py, device.py, PlantDetection.py. — One of this dimension's main actionable groups (3 recommendation-level).
Resolve the 1 Concentrated knowledge decay finding(s) in Knowledge Freshness. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d34_recommendation.md · top locations in Appendix A, every location in findings.md.

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D35 · Change Coupling10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether files that change together actually belong together — pairs that repeatedly co-change in git history despite having no explicit code dependency, surfacing the hidden/logical coupling (and boundaries in the wrong place) a static scan can't see.

Method: Pairwise co-occurrence over the per-commit file sets in git history (production source only — tests and generated dropped): Degree-of-Coupling = shared ÷ min individual revisions, reported above noise floors (each file ≥10 revisions, ≥5 shared commits, ≥50% strength); sweeping commits excluded. Deterministic over fixed history.

Coverage: Population: PRODUCTION source files only — test and generated files are dropped before pairing, so a class co-changing with its own test (trivially ~100%) can't drown the real production↔production coupling. Pairs ranked by Degree-of-Coupling; coupling through a build step, config, or non-source file isn't seen.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No strong hidden change-coupling between production files.

✓ On the Gold path — maintain.

Detailed fixes: d35_recommendation.md.

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D36 · Supply-chain Provenance & Signing0.0 / 10Critical✓ 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: Documented → Verified → Prevented · effective 0.0 / 10 · rule-coverage 100% · ceiling Documented

0/3 supply-chain integrity signals present (provenance, signing, SBOM).

No build provenance

No artifact signing

No SBOM

What to do

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

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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: Documented → Verified → Prevented · 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.

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D38 · OSV Dependency Vulnerabilities6.1 / 10Adequate✓ Tool-verified

What it measures: Whether dependencies have known published vulnerabilities (CVEs) per the OSV database — read natively from whatever lockfile the repository ships (Cargo, npm, Go, Python, Maven, RubyGems, …). D33 and D30 add ecosystem-specific scanners on top for npm and .NET.

Method: Multi-ecosystem dependency-CVE scan via osv-scanner --recursive (queries the osv.dev database + parses lockfiles natively across ecosystems: npm package-lock/yarn/pnpm/bun, Go go.mod, Rust Cargo.lock, Maven/Gradle pom.xml/gradle.lockfile, PyPI requirements.txt/poetry.lock/Pipfile.lock, Composer composer.lock, RubyGems Gemfile.lock, Hex mix.lock, pub pubspec.lock, Swift Package.resolved); severity tally (Critical/High/Medium/Low) to 0-10 tight normalizer (8.0). NotApplicable only when the repo declares no supported non-.NET dependency lockfile (a NuGet-only repo stays NotApplicable — .NET CVEs are D30's domain); coverage needs a resolved lockfile. Additive to D33 (trivy fs); exhaustive + deterministic, DB kept fresh.

Maturity: Documented → Verified → Prevented · effective 6.1 / 10 · rule-coverage 100% · ceiling Documented

7 finding(s): 0 critical, 6 high, 1 medium, 0 low.

High CVE: [GHSA redacted] · ×6mix.lockdetected by osv-scanner finding

Medium CVE: EEF-[CVE redacted]mix.lockdetected by osv-scanner finding

What to do

Resolve the 6 High CVE finding(s) in OSV Dependency Vulnerabilities — start with mix.lock (6). — One of this dimension's main actionable groups (6 issue-level).
Resolve the 1 Medium CVE finding(s) in OSV Dependency Vulnerabilities — start with mix.lock. — One of this dimension's main actionable groups (1 warning-level).

Detailed fixes: d38_recommendation.md · top locations in Appendix A, every location in findings.md.

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Frontend & cross-cutting dimensions

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

M1 · Documentation (README)7.3 / 10Strong✓ 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 an 'Architecture' / 'How it works' section to the root README — the high-level shape.

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M2 · Architecture documentation0.0 / 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 — no conventional ADR directory, no `NNNN-title.md` documents and nothing ADR-shaped by content. Design rationale recorded elsewhere (a design-notes tree, a mailing list, pull-request discussion) is not visible to this check and is not re-findable per decision, so a future maintainer cannot ask why one choice was made and get an answer.
No C4/PlantUML/Mermaid diagram or architecture.md — the high-level shape isn't documented.

What to do

Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
Add a C4 context/container diagram (Structurizr, PlantUML or Mermaid) or an architecture.md overview.

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M3 · Folder & project structure10.0 / 10Exemplary✓ 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.

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M4 · Documentation accuracy1.0 / 10Critical◐ 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.

README claims FarmBot OS support for old versions but the evidence shows only new FBOS release pages

What to do

Reconcile the README with reality: README claims FarmBot OS support for old versions but the evidence shows only new FBOS release pages.

Do you agree with this assessment?

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.

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P3 · Security & performance tooling0.0 / 10Critical✓ Tool-verified

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

Method: Filesystem scan: SAST configuration, dependency-update automation, secret scanning, and a benchmark harness or benchmark step — in this repository's own ecosystem. Exhaustive, deterministic.

No static application security testing detected. For this repository's stack, add sobelow (Elixir/Phoenix) (or `semgrep --config=auto`, which runs on any language) as a CI step.

What to do

Add a SAST step to CI running what this repository's stack ships: sobelow (Elixir/Phoenix) — or `semgrep --config=auto`, which runs on any language — so a security regression fails the build instead of landing.
Enable Dependabot/Renovate or a dependency-review gate.
Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.

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P4 · Deployment & Rollback5.0 / 10Adequate✓ 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.

What to do

Nothing pauses a release for a human: publish as a draft release (or gate the release job on a protected tag/manual dispatch) so a bad build can be stopped before users can download it.

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P6 · Release Hygiene10.0 / 10Exemplary✓ 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.

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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.

Lens	Score	Rating	Impact
Code Health	96%	Exemplary	Solid.
Architecture	100%	Exemplary	Strongest area.
Maturity	35%	Weak — gated by D34, M2, M4	Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Readiness	55%	Adequate — gated by P3	Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Security	44%	Weak — gated by D28, D36	Capped at Fair by a Critical contributor — resolve it before relying on this lens.

Not included — 70 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 — Frontend below the scale floor (9 DOM element(s) < 25) — too little surface to assess accessibility.
AC2 Forms & labels — Frontend below the scale floor (9 DOM element(s) < 25) — too little surface to assess accessibility.
AC3 Page structure — Frontend below the scale floor (9 DOM element(s) < 25) — too little surface to assess accessibility.
AC4 Keyboard semantics — Frontend below the scale floor (9 DOM element(s) < 25) — too little surface to assess accessibility.
AC5 ARIA correctness — Frontend below the scale floor (9 DOM element(s) < 25) — too little surface to assess accessibility.
AC6 Visual & motion safety — Frontend below the scale floor (9 DOM element(s) < 25) — too little surface to assess accessibility.
AC7 A11y enforcement — Frontend below the scale floor (9 DOM element(s) < 25) — too little surface to assess accessibility.
AX1 Captive dependencies — no DI registrations detected
AX10 Code composition — not assessed — code composition is computed by ROLE over a document set that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX2 Stateful singletons — no singleton implementations detected
AX3 Project dependency cycles — not assessed — project cycles and dependency direction are computed over a project-reference graph that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX4 Dependency direction — not assessed — project cycles and dependency direction are computed over a project-reference graph that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX5 Architecture & structure — not assessed — architecture style/structure is computed from a project graph (projects, types, module namespaces) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX6 Interface segregation — not assessed — interface segregation is computed over a type surface that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX7 Slice cohesion — not applicable — not a vertical-slice architecture
AX8 Test isolation — not assessed — test isolation is computed from a project graph (which projects are test projects, and what they reference) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
AXB2 Runtime readiness — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
C1 Data Protection — Not assessed: these personal data controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks personal data controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C2 Access Controls — Not assessed: these authorization controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks authorization controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C3 Audit Trail — Not assessed: these audit controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks audit controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C4 Data Retention — Not assessed: these retention controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks retention controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C5 Data-Subject Rights — Not assessed: these data-subject rights controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks data-subject rights controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
D10 Test Quality — ~10859 lines of test source are present (.exs) but the test-quality collector reads C# only, so skipped/assertion-free tests couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
D11 Test Reliability — Test reliability not included
D12 Dependency Hygiene — Dependency hygiene not measured — no supported dependency manifest was read
D14 License Compliance — Not scored — this repository's package manifest is not parsed for licence data yet. A gap in the analyzer's language coverage, NOT a finding that the repository's licenses are compliant (a Python pyproject.toml/requirements.txt (pip/uv/Poetry), a Swift Package.swift/Package.resolved, a Cargo manifest, a Go module (go.mod/go.sum), a Gradle version catalogue, a Maven POM, an sbt build (build.sbt), composer.json, package.json, a Dart pubspec.yaml, a rebar.config / erlang.mk DEPS (Hex), a Ruby Gemfile/Gemfile.lock or .gemspec (Bundler/RubyGems)), which this pass does not parse yet — so this dimension asserts nothing about this repository's licensing in either direction.
D17 Explicit Debt — explicit-debt markers are read through a C# workspace today, so they were not read for this repository's language — this asserts nothing about how many markers the code carries. Not scored — this is a gap in the analyzer, not a finding about this repository
D18 Solution Shape — D18 scores the shape of a .NET solution; this repository has no .NET solution or project files, so the dimension does not apply.
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 — Production source is present (.ex, .exs, .py) but bounded contexts are resolved over the C#/VB project set, which exposed none, so context scope could not be assessed. Not scored — this is a gap in the analyzer, not a verdict about this repository. Declaring the codebase's bounded contexts (≥2) would let cross-boundary type coupling be assessed — see the recommendation on this dimension for where. Declare them in `.codehealth/config.yaml` at the repository root (create it if absent), mapping each context name to the module-path or namespace prefixes that belong to it — e.g. `architecture:` → `contexts:` → `Billing: ["src/billing", "Acme.Billing"]`, `Catalog: ["src/catalog", "Acme.Catalog"]`.
D24 Comment Value — No inline comments to assess — comment value is not applicable here.
D25 ADR Conformance — no ADRs to check
D26 Project Cohesion — Project cohesion is assessed over the .NET project set; this target exposed no projects, so project size and spread could not be assessed. Not scored — this is a gap in the analyzer's reach, not a verdict about this repository.
D27 Navigability — No calls could be sampled, so navigability was not assessed — tracing effort is measured over resolved call sites and this target exposed none. Not scored — this is a gap in the analyzer's reach, not a verdict about this repository.
D30 Dependency Vulnerabilities — Not scored — no dependency manifest in a supported ecosystem was read for this repository. A gap in the analyzer's language coverage, NOT a finding that the repository is free of vulnerable dependencies (a Python pyproject.toml/requirements.txt (pip/uv/Poetry), a Swift Package.swift/Package.resolved, a Cargo manifest, a Go module (go.mod/go.sum), a Gradle version catalogue, a Maven POM, an sbt build (build.sbt), composer.json, package.json, a Dart pubspec.yaml, a rebar.config / erlang.mk DEPS (Hex), a Ruby Gemfile/Gemfile.lock or .gemspec (Bundler/RubyGems) — not scanned yet) — where an OSV-supported manifest exists, dependency vulnerabilities for this repository are reported under D38 instead.
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-handling patterns detected (p/gdpr ruleset) — no data-compliance surface to assess.
D33 JS/npm Dependency Vulnerabilities — No JS/npm manifest or lockfile found outside build output (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.
D39 IL Efficiency — D39 measures the IL emitted by a .NET build; this repository has no .NET solution or project files, so the dimension does not apply.
D40 Network Egress Confinement — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
D41 Kernel & Syscall Confinement — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
D42 Runtime Threat Enforcement — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
D5 Coupling — Inter-project coupling could not be assessed — no analyzable project graph was found for this repository. Not scored: a gap in the analyzer's reach, not a verdict about this repository. (Coupling here is Martin afferent/efferent/instability plus reference cycles across a project-reference graph, read today from .NET project files; other ecosystems' module graphs are not read yet.)
D6 Cohesion (LCOM4) — Cohesion (LCOM4) is measured over a C#/VB class graph, and this repository's production source is .ex, .exs, .py, which this pass does not read — so no class could be assessed. Not scored — this is a gap in the analyzer, not a finding about this repository.
D7 Architectural Integrity — no checkable ADRs, and no project-reference graph for the cycle pass to read — so this dimension makes no claim about dependency cycles in either direction (where this repository's language has an import-cycle lens, cycles are reported there). Architectural integrity not assessed
D8 Code Coverage — Coverage not included — suite not readable by the collector
D9 Test Distribution — Test source is present (.exs) but the test-pyramid classifier reads C# only, so its unit/integration/BDD/E2E split couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
DM1 Domain Modelling — not scored — this repository shows only 1 of the 3 signals this check looks for (3 value object(s))
ED1 Event-Driven — not scored — this repository shows none of the 3 signals this check looks for
ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
ES1 Event Sourcing — not scored — this repository shows only 1 of the 3 signals this check looks for (2 Elixir aggregate(s) emitting domain events (%Event{} from execute/2))
GD1 Unfinished & placeholder code — no source files
IC1 Incompleteness & stubs — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
P12 CI test-gate honesty — Reported, not scored — this card publishes what the CI gate does with the test inventory rather than grading it. The findings above are its output.
P2 Observability — Observability was not assessed: this check reads a source model that does not carry this repository's product — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of a logging idiom this check recognises is NOT evidence that this repo lacks structured logging (it may log through its own ecosystem's logger). This is a gap in the analyzer, not a finding about this repository.
P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control
P7 Outbound HTTP resilience — not measured — the application kind could not be determined for this repo
P8 Schema migrations — not assessed — schema-migration practice is read from a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
P9 Domain vs controller coverage — no coverage report found on disk — produce a coverage report in a standard format (lcov — `mix test --cover` with `excoveralls` (`mix coveralls.lcov`)) into the repo working tree before the scan — a CI step is the usual place, since the artefact is commonly gitignored, or wire coverage collection into CI, to enable this cross-layer check
PF1 Benchmark discipline — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
PF2 Allocation hygiene — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
PF3 Async & latency hygiene — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
S1 Web-Security Posture — Not assessed: these web-security controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks web-security controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
X1 Async correctness — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X2 Cancellation propagation — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X3 Exception handling — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X4 Structured logging — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X5 Nullable reference types — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository

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 — 10 finding(s)

D38 · OSV Dependency Vulnerabilities · High CVE · ×6

High CVE: [GHSA redacted] mix.lock — cowboy 2.12.0: [GHSA redacted] — upgrade to 2.15.0. This is 1 of 3 advisories with a published fix this scan raises against cowboy 2.12.0, and their fixed versions do not agree — anything below 2.18.0 still leaves at least one of them open. Take this package to 2.18.0 or later: that is the floor for the package, not this row's target alone. This one row stands for the 3 advisories this scan raises against cowboy 2.12.0: EEF-[CVE redacted], [GHSA redacted], [GHSA redacted].
High CVE: [GHSA redacted] mix.lock — cowlib 2.13.0: [GHSA redacted] — upgrade to 2.16.1. This is 1 of 4 advisories with a published fix this scan raises against cowlib 2.13.0, and their fixed versions do not agree — anything below 2.19.0 still leaves at least one of them open. Take this package to 2.19.0 or later: that is the floor for the package, not this row's target alone. This one row stands for the 6 advisories this scan raises against cowlib 2.13.0: EEF-[CVE redacted], EEF-[CVE redacted], EEF-[CVE redacted], EEF-[CVE redacted], [GHSA redacted], [GHSA redacted].
High CVE: [GHSA redacted] mix.lock — hackney 1.20.1: [GHSA redacted] — upgrade to 4.0.1. This is 1 of 6 advisories with a published fix this scan raises against hackney 1.20.1, and their fixed versions do not agree — anything below 1.24.0 still leaves at least one of them open. Take this package to 1.24.0 or later: that is the floor for the package, not this row's target alone. This one row stands for the 6 advisories this scan raises against hackney 1.20.1: EEF-[CVE redacted], EEF-[CVE redacted], EEF-[CVE redacted], [GHSA redacted], [GHSA redacted], [GHSA redacted].
High CVE: [GHSA redacted] mix.lock — plug 1.15.3: [GHSA redacted] — upgrade to 1.15.4. This is 1 of 4 advisories with a published fix this scan raises against plug 1.15.3, and their fixed versions do not agree — anything below 1.16.6 still leaves at least one of them open. Take this package to 1.16.6 or later: that is the floor for the package, not this row's target alone. This one row stands for the 4 advisories this scan raises against plug 1.15.3: EEF-[CVE redacted], EEF-[CVE redacted], EEF-[CVE redacted], [GHSA redacted].
High CVE: [GHSA redacted] mix.lock — plug_cowboy 2.7.1: [GHSA redacted] — upgrade to 2.8.1
High CVE: [GHSA redacted] mix.lock — tesla 1.9.0: [GHSA redacted] — upgrade to 1.18.3. This one row stands for the 5 advisories this scan raises against tesla 1.9.0: EEF-[CVE redacted], EEF-[CVE redacted], [GHSA redacted], [GHSA redacted], [GHSA redacted].

D29 · Static Analysis (SAST) · High · ×3

High: github-actions-mutable-action-tag priv/farmware/measure-soil-height/.github/workflows/main.yml:11 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v2`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v2 --jq .sha`.
High: github-actions-mutable-action-tag priv/farmware/measure-soil-height/.github/workflows/main.yml:12 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/setup-python@<40-character SHA>`. This step references `actions/setup-python@v2`; resolve the SHA it points at today with `gh api repos/actions/setup-python/commits/v2 --jq .sha`.
High: github-actions-mutable-action-tag priv/farmware/measure-soil-height/.github/workflows/main.yml:17 — GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/upload-artifact@<40-character SHA>`. This step references `actions/upload-artifact@v2`; resolve the SHA it points at today with `gh api repos/actions/upload-artifact/commits/v2 --jq .sha`.

D28 · Secrets (history) · Secret · ×1

Secret: generic-api-key config/config.exs:29 — matched rule 'generic-api-key'

Warning — 14 finding(s)

D3 · God Classes · TooManyMethods · ×5

TooManyMethods: Asset lib/core/asset.ex:1 — TooManyMethods — 59 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: Stubs lib/celery/sys_calls/stubs.ex:1 — TooManyMethods — 46 methods. Most of these members implement Celery.SysCallGlue (44 of 45 members), so moving them onto a smaller type would remove them from that contract rather than reduce it. To reduce it, split the contract instead: give each cohesive group of operations its own smaller interface and its own implementing type. Where the contract has to stay whole, move the work behind these members into collaborator types, so what is left here is a forward per member rather than a responsibility per member.
TooManyMethods: DataManipulation lib/os/lua/data_manipulation.ex:1 — TooManyMethods — 44 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: BotState lib/core/bot_state.ex:1 — TooManyMethods — 37 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: Move lib/celery/compilers/move_compiler.ex:1 — TooManyMethods — 31 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.

D1 · Cyclomatic Complexity · DataManipulation.filter_point (cyclomatic 19) · ×1

DataManipulation.filter_point (cyclomatic 19) lib/os/lua/data_manipulation.ex:272 — DataManipulation.filter_point has cyclomatic complexity 19 (threshold 15). To reduce it, name the conditions: bind each compound test to a well-named local or a small predicate function, so the body reads as a sequence of named decisions rather than a chain of operators.

D2 · Cognitive Complexity · DataManipulation.filter_point (cognitive 18) · ×1

DataManipulation.filter_point (cognitive 18) lib/os/lua/data_manipulation.ex:272 — DataManipulation.filter_point has cognitive complexity 18 (threshold 15). Drivers by points: boolean chains 18. To reduce it, name the conditions: bind each compound test to a well-named local or a small predicate function, so the body reads as a sequence of named decisions rather than a chain of operators.

D3 · God Classes · FileTooLong · ×1

FileTooLong: core/asset.ex lib/core/asset.ex:0 — FileTooLong — 522 significant lines (blank, comment-only and punctuation-only lines excluded). To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.

D38 · OSV Dependency Vulnerabilities · Medium CVE · ×1

Medium CVE: EEF-[CVE redacted] mix.lock — decimal 2.1.1: EEF-[CVE redacted] — upgrade to 3.0.0

D4 · Code Duplication · Duplicated block (13 lines × 2) · ×1

Duplicated block (13 lines × 2) lib/celery/compilers/axis_control_compiler.ex:22 — lib/celery/compilers/axis_control_compiler.ex:22-34 | lib/celery/compilers/axis_control_compiler.ex:59-71 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.

D4 · Code Duplication · Duplicated block (11 lines × 2) · ×1

Duplicated block (11 lines × 2) lib/os/sys_calls/pin_control.ex:147 — lib/os/sys_calls/pin_control.ex:147-166 | lib/os/sys_calls/pin_control.ex:238-248 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.

D4 · Code Duplication · Duplicated block (9 lines × 2) · ×1

Duplicated block (9 lines × 2) lib/os/lua/data_manipulation.ex:239 — lib/os/lua/data_manipulation.ex:239-247 | lib/os/lua/data_manipulation.ex:322-330 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.

D4 · Code Duplication · Duplicated block (8 lines × 2) · ×1

Duplicated block (8 lines × 2) lib/core/asset.ex:314 — lib/core/asset.ex:314-321 | lib/core/asset.ex:334-341 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.

D4 · Code Duplication · Duplicated block (7 lines × 2) · ×1

Duplicated block (7 lines × 2) lib/os/sys_calls/pin_control.ex:27 — lib/os/sys_calls/pin_control.ex:27-33 | lib/os/sys_calls/pin_control.ex:40-46 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.

Recommendation — 12 finding(s)

D34 · Knowledge Freshness · Largest orphaned file · ×3

Largest orphaned file priv/farmware/plant_detection/Image.py — One of the largest files with no living knowledge remaining — a reasonable place to start a read-through before the aggregate risk above bites.
Largest orphaned file priv/farmware/farmware_tools/device.py — One of the largest files with no living knowledge remaining — a reasonable place to start a read-through before the aggregate risk above bites.
Largest orphaned file priv/farmware/plant_detection/PlantDetection.py — One of the largest files with no living knowledge remaining — a reasonable place to start a read-through before the aggregate risk above bites.

D11 · Test Reliability · Test reliability not included · ×1

Test reliability not included — Test source is present (.exs) but the built-in reliability runner does not support this repository's ecosystem, so flakiness couldn't be assessed. Not scored — this is a gap in the analyzer's language coverage, not a finding about this repository.

D16 · Bus Factor · Off-boarding risk · ×1

Off-boarding risk: anonymized user #1 — If anonymized user #1 becomes unavailable, 6 significant file(s) lose their only recent owner: lib/os/lua/data_manipulation.ex, lib/celery/compilers/move_compiler.ex, lib/os/lua.ex, lib/os/lua/info.ex, mix.exs, lib/celery/ast.ex. Pair on, review, or document these before any departure.

D19 · Documentation Quality · The README is a single link pointing to the official FarmBot OS documentation; there is no installation or configuration guide for setting up FBOS on a device. · ×1

The README is a single link pointing to the official FarmBot OS documentation; there is no installation or configuration guide for setting up FBOS on a device. README.md — Add an Install section describing how to get and run the latest FarmBot OS image locally, including prerequisites and boot steps.

D28 · Secrets (history) · Rotate the exposed credentials · ×1

Rotate the exposed credentials — git history can't be un-committed — Some of these secrets are in git HISTORY: deleting the file does not remove them (the commit persists on every clone, fork and backup). The remediation is to ROTATE each historically-exposed credential and treat it as compromised — not to delete the file. Rewriting history is disruptive and unreliable across existing forks. (Working-tree-only secrets — no commit — can instead be removed from the file and moved to a secret store.)

D34 · Knowledge Freshness · Concentrated knowledge decay · ×1

Concentrated knowledge decay — 94 of 105 significant files have no living knowledge, while the repository is still being changed at a low rate (7 commit(s) in the last 90 days) — so this is one repo-wide knowledge-decay state, not 94 separate risks. The code moved on without the people who understood these files: document them or schedule a read-through before the next change lands in them.

D36 · Supply-chain Provenance & Signing · No build provenance · ×1

No build provenance — No SLSA provenance generation or build attestation found in CI — nothing binds a released artifact to the build that produced it, so a consumer cannot tell your artifact from a substituted one. Emit one from whichever pipeline releases the artifact — `cosign attest` (keyless or with your release key) records the build inputs against the artifact digest and needs nothing forge-specific; publish the attestation as a release asset alongside it.

D36 · Supply-chain Provenance & Signing · No artifact signing · ×1

No artifact signing — No artifact signing found in CI — sign your released artifacts with whatever your ecosystem ships (a GPG/minisign detached signature — or `cosign sign-blob` — over the release archives, or over a checksum file published alongside them) so consumers can verify what you built.

D36 · Supply-chain Provenance & Signing · No SBOM · ×1

No SBOM — No SBOM generation or committed SBOM found — produce one with what your ecosystem ships (`syft` (or `anchore/sbom-action` in CI) over the source tree or released image). Publish it as a release asset (`*.spdx.json` / `*.cdx.json`) so consumers can see what they are installing.

D8 · Code Coverage · Coverage not included · ×1

Coverage not included — suite not readable by the collector — Coverage NOT READ here — but this repository measures it: a coverage step in CI (`mix coveralls`) shows that coverage is collected and tracked in your own CI. The built-in collector has no runner for this ecosystem (.exs), so the analyzer could not read the number — a gap in the analyzer's language coverage, not an unmeasured repo. Not scored. To have the real number read, produce a coverage report in a standard format (lcov — `mix test --cover` with `excoveralls` (`mix coveralls.lcov`)) into the repo working tree before the scan — a CI step is the usual place, since the artefact is commonly gitignored.

Info — 2 finding(s)

D12 · Dependency Hygiene · Dependency hygiene not measured · ×1

Dependency hygiene not measured — no supported dependency manifest was read — No dependency manifest this pass reads for hygiene (a Python pyproject.toml/requirements.txt (pip/uv/Poetry), a Swift Package.swift/Package.resolved, a Cargo manifest, a Go module (go.mod/go.sum), a Gradle version catalogue, a Maven POM, an sbt build (build.sbt), composer.json, package.json, a Dart pubspec.yaml, a rebar.config / erlang.mk DEPS (Hex), a Ruby Gemfile/Gemfile.lock or .gemspec (Bundler/RubyGems)) was found in this repository, so no package was assessed. Zero packages read is NOT a clean dependency tree, so this is NOT SCORED — a gap in the analyzer, not a verdict about this repository. This row is about dependency HYGIENE — outdated, deprecated or unmaintained direct dependencies; known CVEs in the same dependency graph are a separate question, reported under D38 wherever the manifest is OSV-readable.

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.

Dimension	Tool	Version	Command	Findings	Raw output
D28 · Secrets (history)	gitleaks	—	gitleaks detect --no-banner --report-format json --report-path /dev/stdout --exit-code 0 --source .	13	artifacts/raw/gitleaks-history.json
D29 · Static Analysis (SAST)	semgrep	—	semgrep --config /opt/semgrep-rules/security-audit.yml --config /opt/semgrep-rules/owasp-top-ten.yml --json --quiet --timeout 0 --metrics off .	3	artifacts/raw/semgrep.json
D30 · Dependency Vulnerabilities	none (no readable dependency manifest)	—	none (no readable dependency manifest): not present in this environment	0	—
D31 · IaC & Container Security	trivy	—	trivy: not applicable — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.	0	—
D32 · Data Compliance (PII/GDPR)	semgrep	—	semgrep: not applicable — No PII/GDPR-handling patterns detected (p/gdpr ruleset) — no data-compliance surface to assess.	0	—
D33 · JS/npm Dependency Vulnerabilities	trivy	—	trivy: not applicable — No JS/npm manifest or lockfile found outside build output (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.	0	—
D38 · OSV Dependency Vulnerabilities	osv-scanner	—	osv-scanner --format json --recursive .	7	artifacts/raw/osv-scanner.json
D40 · Network Egress Confinement	runtime-hardening	—	runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.	0	—
D41 · Kernel & Syscall Confinement	runtime-hardening	—	runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.	0	—
D42 · Runtime Threat Enforcement	runtime-hardening	—	runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.	0	—

Run 019fd4b6-3301-74ee-b0a7-d6681c59608a · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.

FarmBot/farmbot_Os

Executive summary

Top priorities

Diagnosis — what's actually going on

Architecture — module dependency matrix

At a glance — Code Health · 96% · Exemplary

At a glance — Architecture · 100% · Exemplary

At a glance — Maturity · 35% · Weak · gated by D34, M2, M4

At a glance — Readiness · 55% · Adequate · gated by P3

At a glance — Security · 44% · Weak · gated by D28, D36

Security & Compliance — OWASP Top-10 mapping

Roadmap

File quality

Methodology & how to trust this report

Tools & methods

Run transparency — what happened this run

Limitations & what we did not check

Per-dimension blind spots

The LLM boundary

Dimensions

Frontend & cross-cutting dimensions

Reference — by lens

Appendix A — Findings (grouped)

Appendix B — Reproduction & audit trail

Downloadable artifacts