code-quality

name	code-quality
description	Use when the user asks to review code, lint files, fix linting errors, audit a project, run static analysis, check types, inspect complexity, find circular dependencies, review architecture, scan for vulnerabilities or secrets, run pre-commit checks, or set up ESLint, Biome, ruff, pyright, tsc, madge, depcycle, Semgrep, or detect-secrets.

Code Quality Skill

Analyze, verify, and fix code quality issues using the project's own tools. This skill detects the project's linter and type checker, runs them with structured output, normalizes findings into a consistent severity format, and presents actionable results.

Core principle: Use what the project already has. No external services, no server setup, no token overhead when not in use.

Named workflows:

1. Lint - review, check, lint, fix, or audit code quality
2. Pre-commit Check - changed-file lint and type check before commit
3. Type Check - pyright or tsc static type analysis
4. Architecture Review - full structural audit plus focused complexity/cycle checks
5. Security Scan - Semgrep SAST plus detect-secrets
6. Comprehensive Review - read-only maximum-coverage review across lint, complexity, types, architecture, and security
7. Linter Setup - configure a project-level linter

Supported tools:

• JavaScript/TypeScript linting: ESLint, Biome
• Python linting: ruff, pylint
• Type checking: pyright, tsc
• Architecture: madge, depcycle, knip, vulture, custom graph analysis
• Security: Semgrep, detect-secrets

Step 1: Detect Project Tools

Before any analysis, determine the skill directory (the directory containing this SKILL.md) and run detection.

bash <skill-dir>/scripts/detect-linter.sh [target-path]

Replace <skill-dir> with the absolute path to the directory containing this file. For example, if this file is at /Users/alice/.claude/skills/code-quality/SKILL.md, run:

bash /Users/alice/.claude/skills/code-quality/scripts/detect-linter.sh [target-path]

Detection outputs key=value pairs:

Key	Use
TOOL	Linter: eslint, biome, ruff, pylint, npm-script, none
COMMAND	Analysis command with JSON output when available
FIX_COMMAND	Native auto-fix command, empty if unsupported
CONFIG	Config file path, empty when none was detected
LANGUAGE	javascript, python, or unknown
TYPESCRIPT	true when tsconfig.json exists
FALLBACK	true when built-in defaults are used
PROJECT_ROOT	Detected project root
FRAMEWORK	Framework hint for architecture analysis
FILES	Changed lintable files, only with --changed-only
TYPE_CHECKER	pyright, tsc, or none
TYPE_CHECK_COMMAND	Type-check command
COGNITIVE_COMMAND	Cognitive complexity command for the language
ESLINT_DEFAULTS_CMD	Bundled ESLint+sonarjs wrapper
SEMGREP_AVAILABLE	true when Semgrep can run through uvx
SECRETS_TOOL	detect-secrets, gitleaks, or none

If TOOL=none and LANGUAGE=unknown, report that this project type is not supported yet.

If FALLBACK=true, inform the user:

No linter config found in your project. Running with the skill's built-in defaults. To customize, create your own config file.

If TOOL=npm-script, run COMMAND directly and parse human-readable output best-effort. Look for file:line:col: message or ESLint/Biome-style output. If the output is unstructured, present it verbatim.

If TOOL=pylint, there is no auto-fix. Map pylint JSON severities as: fatal -> BLOCKER, error -> CRITICAL, warning -> MAJOR, refactor -> MINOR, convention -> INFO.

Load reference files only as needed:

• TOOL=eslint -> <skill-dir>/references/eslint.md
• TOOL=biome -> <skill-dir>/references/biome.md
• TOOL=ruff -> <skill-dir>/references/ruff.md
• Load <skill-dir>/references/severity-map.md only when findings exist.

Default Configs

The skill ships with built-in configs in <skill-dir>/defaults/ so analysis can run without project setup. Inspired by SonarQube's "Sonar way" quality profile.

Python - defaults/ruff.toml

Rules enabled: E, F, W, C90, I, N, UP, B, S, SIM, T20. Cyclomatic complexity threshold: 10. Fallback lint runs through uvx ruff with --config <skill-dir>/defaults/ruff.toml.

JavaScript/TypeScript - Biome fallback for general lint

When no JS/TS linter is configured, the skill uses Biome as the fallback for general lint because Biome parses both JavaScript and TypeScript without parser plugins. It runs through npx --yes @biomejs/biome check --reporter=json.

JavaScript/TypeScript - Bundled ESLint + sonarjs for complexity

General JS/TS lint uses the project linter or Biome fallback. Cognitive complexity uses the bundled ESLint wrapper because it needs eslint-plugin-sonarjs:

bash <skill-dir>/scripts/eslint-defaults.sh

The wrapper lazily runs npm ci --prefix defaults/ on first use, then execs defaults/node_modules/.bin/eslint. First run costs about 10-20s and writes defaults/node_modules (gitignored).

Lint and Architecture Review both use this wrapper for JS/TS complexity. It is not the JS/TS fallback linter; Biome remains the fallback for regular linting.

Security plugins are intentionally not bundled. Security Scan owns that surface through Semgrep and detect-secrets.

When to suggest project-level config

After reporting results that used built-in defaults, add:

These results use the skill's built-in rules. To customize severity, disable rules, or add plugins, create your own config.

Suggest:

• ruff: ruff.toml or [tool.ruff] in pyproject.toml
• ESLint: npm init @eslint/config@latest
• Biome: npx @biomejs/biome init

Workflow: Lint

Triggers: "review", "check", "what's wrong with", "lint", "analyze", "any issues in", "fix", "clean up", "auto-fix", "fix linting", "audit my project", "project scan", "full analysis", "scan the whole project", "overall code quality".

Use this workflow for file, directory, and project-level code quality checks. Plain audit/project scan requests route here, not to Architecture Review. Bare "full audit" routes to Comprehensive Review. Qualified architecture requests such as "architecture full audit" and "structural audit" route to Architecture Review.

Scope and mode

• Scope: file(s), directory, or project root from the user request.
• Mode: analyze by default.
• Fix mode: use when the request says fix, clean up, auto-fix, or fix lint errors.
• Project audit mode: use when the target is the project root or the request says audit/project scan/full analysis.

Analyze steps

1. Run detection:

   bash <skill-dir>/scripts/detect-linter.sh [project-path]
   

2. Determine the target files/directories from the user request.
3. Run the detected linter command with the target appended:

   npx eslint --format json src/index.ts
   npx @biomejs/biome check --reporter=json src/
   ruff check --output-format json src/main.py
   

4. Treat exit code 1 as findings found. Treat exit code 2+ as config/runtime failure and report it.
5. Parse findings into file, line, column, rule, message, severity, and fixability.
6. Run explicit complexity checks on the same target. Do not assume the project Ruff or ESLint config enables complexity.
7. Merge lint and complexity findings into one Code Quality Report.

Complexity included by default

Lint includes both cyclomatic and cognitive complexity for review/check/lint and audit requests. Complexity findings are manual-only; do not mark them auto-fixable and do not offer --fix for them.

Python:

uvx ruff check --select C901 --output-format json [targets...]
uvx --with flake8-cognitive-complexity flake8 \
  --select=CCR001 --max-cognitive-complexity=15 [targets...]

If uvx is unavailable but ruff is installed, use ruff check --select C901 --output-format json for the cyclomatic half and warn that cognitive complexity could not run.

JavaScript/TypeScript (run with cwd set to PROJECT_ROOT):

bash <skill-dir>/scripts/eslint-defaults.sh \
  --no-config-lookup \
  --config <skill-dir>/defaults/eslint.config.js \
  --rule '{"complexity":["warn",10],"sonarjs/cognitive-complexity":["warn",15]}' \
  --format json [targets...]

Thresholds:

Metric	Max	Severity if exceeded
Cognitive complexity	15	16-25 -> [MAJ], >= 26 -> [CRT]
Cyclomatic complexity	10	Any value over cap -> [MAJ]

When both metrics exceed their cap for the same function, cognitive drives the severity tag. Merge by (file, line +/-2). Function names come from the cyclomatic finding when available.

Load <skill-dir>/references/cognitive-complexity.md when complexity findings exist so refactoring suggestions are concrete.

Fix mode

1. Run the full lint analysis first, including complexity, to capture a baseline.
2. Count baseline issues by severity and auto-fixability.
3. If FIX_COMMAND is empty, explain that the detected tool has no auto-fix and provide manual suggestions.
4. Run the native fix command on the target:

   npx eslint --fix src/index.ts
   npx @biomejs/biome check --write src/
   ruff check --fix src/main.py
   

5. Re-run the linter and complexity checks.
6. Report the delta:
   • what the tool fixed in plain language
   • what remains
   • which remaining findings are manual-only complexity refactors

Do not say only "N issues fixed". Name the types of changes when the tool output makes them knowable, for example "removed unused imports" or "replaced var with const".

Project audit mode

Run the linter and explicit complexity checks on the project root. Respect the tool's normal ignore behavior for node_modules/, dist/, build/, venv/, __pycache__/, and similar paths.

If more than 50 findings exist, show the top 50 sorted by severity and state the total. Include:

• total issues by severity
• top 5 problematic files by issue count
• auto-fixable count
• manual-only complexity count

Offer concrete follow-ups: fix auto-fixable issues, drill into a file, run focused complexity, or run Architecture Review for structure/coupling.

Workflow: Pre-commit Check

Triggers: "check before commit", "pre-commit", "check my changes", "ready to commit?", "lint changed files".

This workflow is intentionally fast. It runs changed-file lint and type checks. It does not run cognitive complexity unless the user explicitly asks for complexity.

Steps

1. Run detection with changed files:

   bash <skill-dir>/scripts/detect-linter.sh [project-path] --changed-only
   

2. If FILES is empty, report "No lintable files in current changes."
3. Run the detected linter on changed files:

   npx eslint --format json file1.ts file2.ts
   npx @biomejs/biome check --reporter=json file1.ts file2.ts
   ruff check --output-format json file1.py file2.py
   

4. If TYPE_CHECKER is not none, run type checking:
   • pyright: npx pyright --outputjson file1.py file2.py
   • tsc: npx tsc --noEmit, then filter diagnostics to changed files
5. Present a pass/fail verdict:
   • PASS: "All changed files pass lint and type checks. Ready to commit."
   • FAIL: show changed-file issues with severity and suggested fixes.

If the user asks for pre-commit plus complexity, run Lint on the changed files after the fast pre-commit checks and label complexity findings as manual-only.

Workflow: Type Check

Triggers: "type check", "verify types", "run pyright", "run tsc", "type errors", "check types", "verify code", "static type analysis".

Type checkers catch correctness issues that linters miss, such as missing attributes, invalid function signatures, and unsafe None/undefined usage.

Supported tools:

• Python: pyright through npx pyright
• TypeScript: tsc --noEmit

Steps

1. Run detection and read LANGUAGE, PROJECT_ROOT, TYPE_CHECKER, and TYPE_CHECK_COMMAND.
2. If TYPE_CHECKER=none, say type checking is available for Python and TypeScript projects. For plain JavaScript, suggest adding a tsconfig.json with npx tsc --init if they want type checking.
3. Load <skill-dir>/references/pyright.md when TYPE_CHECKER=pyright.
4. Run the type checker:

   npx pyright --outputjson [files-or-directory]
   npx tsc --noEmit
   

5. Treat exit code 1 as type errors found, not command failure.
6. Parse results:
   • Pyright JSON: generalDiagnostics; line numbers are 0-based, add 1 when displaying.
   • tsc text: file(line,col): error TSxxxx: message.
7. Normalize severity:
   • pyright error -> [CRT]
   • pyright warning -> [MAJ]
   • pyright information -> [MIN]
   • tsc errors -> [CRT]
   • tsc warnings -> [MAJ]
8. Present findings with concrete fixes.

Filtering:

• Group noisy reportMissingTypeStubs warnings into one summary line.
• If more than 50 diagnostics exist, show the top 50 by severity and state the total.

Workflow: Architecture Review

Triggers: "architecture review", "review architecture", "arch audit", "architecture full audit", "structural audit", "find god modules", "find hub modules", "layering violations", "coupling metrics", "instability", "module coupling", "show me the structure", "onboard me to this codebase", "check complexity", "find complex functions", "cyclomatic complexity", "cognitive complexity", "circular dependencies", "circular imports", "dependency graph", "find cycles", "orphan modules".

Architecture Review has three modes:

Request	Mode
complexity only	focused complexity
cycles/dependencies only	focused cycles
architecture/audit/onboarding/coupling/layers	full structural audit

Full structural audit mode

Produces a structured report with cycles, layering violations, hub/god modules, instability hotspots, deep import chains, oversized files, excessive exports, dead code, and complex functions. It is for on-demand audits and onboarding, not a pre-commit gate.

1. Run detection and read LANGUAGE, PROJECT_ROOT, and FRAMEWORK.
2. Run the orchestrator:

   bash <skill-dir>/scripts/arch-review.sh \
     --project-root "$PROJECT_ROOT" \
     --language "$LANGUAGE" \
     --framework "$FRAMEWORK"
   

3. Useful flags:
   • --top N
   • --include-tests
   • --skip-section <name> (repeatable)
   • --max-file-loc, --max-exports, --max-ca, --max-ce, --max-chain-depth
4. Load <skill-dir>/references/architecture.md.
5. Render the JSON report using the normal severity-table style.

If LANGUAGE=unknown, report that Architecture Review supports Python and JS/TS projects. If python3 is missing, report that the orchestrator requires python3.

Findings are not necessarily errors. Always render clean, found, skipped, and error sections clearly.

Focused complexity mode

Use this mode for "check complexity", "find complex functions", "hard to test", or "refactor candidates". It runs the same dual-metric complexity checks as Lint, but reports a dedicated complexity table and refactoring guidance.

1. Run detection to get LANGUAGE, PROJECT_ROOT, and COGNITIVE_COMMAND.

2. Prefer the helper used by the architecture orchestrator: arch_review.complexity.run_complexity_check(root, language, metric="both"). If driving commands directly, use:

   Python:

   uvx ruff check --select C901 --output-format json [targets...]
   uvx --with flake8-cognitive-complexity flake8 \
     --select=CCR001 --max-cognitive-complexity=15 [targets...]
   

   JS/TS (run from PROJECT_ROOT):

   bash <skill-dir>/scripts/eslint-defaults.sh \
     --no-config-lookup \
     --config <skill-dir>/defaults/eslint.config.js \
     --rule '{"complexity":["warn",10],"sonarjs/cognitive-complexity":["warn",15]}' \
     --format json [targets...]
   

3. Merge by (file, line +/-2) and sort by cognitive complexity descending.

4. Use severity rules:

   • cognitive 16-25 -> [MAJ]
   • cognitive >= 26 -> [CRT]
   • cyclomatic-only over 10 -> [MAJ]

5. Load <skill-dir>/references/cognitive-complexity.md and include manual refactoring suggestions such as early returns, extract method, table dispatch, or polymorphism.

Complexity violations have no auto-fix. If cognitive tooling is unavailable, fall back to cyclomatic-only and warn in the report.

Focused cycles mode

Use this mode for circular dependencies, circular imports, dependency graph, find cycles, or orphan modules.

1. Run detection and read LANGUAGE, TYPESCRIPT, FRAMEWORK, and PROJECT_ROOT.
2. Load:
   • JS/TS -> <skill-dir>/references/madge.md
   • Python -> <skill-dir>/references/pydeps.md
3. Determine entry point:
   • Node services/libraries: package main/module, then src/index.ts, src/server.ts, src/main.ts, or src/app.ts
   • Framework projects: scan source directories such as app/, pages/, or src/
   • Multi-root projects: scan each source root separately when one entry misses files
4. Run cycles:

   npx madge --circular --json src/
   npx madge --circular --json --ts-config tsconfig.json --extensions ts,tsx src/index.ts
   npx madge --circular --json --ts-config tsconfig.json --extensions ts,tsx app/
   uvx depcycle <package-path>
   

5. For JS/TS orphans when requested:

   npx madge --orphans [entry-point]
   

6. Normalize severity:
   • Circular dependency -> [CRT]
   • Orphan module -> [INF]
7. Provide actionable refactoring suggestions. The usual fix is to extract a shared dependency into a separate module that both sides can import.

If npx madge appears to become npm run madge or emits Unknown cli config "--circular", bypass aliases/hooks:

command npx madge --version
command npx madge --circular --json --ts-config tsconfig.json --extensions ts,tsx app/

Do not conclude madge is missing until command npx madge --version fails.

Workflow: Security Scan

Triggers: "security scan", "find vulnerabilities", "SAST scan", "OWASP scan", "CWE scan", "scan for security issues", "secret scan", "find secrets", "find leaked credentials", "find API keys", "check for hardcoded passwords".

Security Scan combines Semgrep with detect-secrets through the orchestrator. Both run through uvx when available.

Steps

1. Run detection and read SEMGREP_AVAILABLE, SECRETS_TOOL, PROJECT_ROOT, and LANGUAGE. If both tools are unavailable, tell the user to install uv with brew install uv or pip install uv.
2. Run:

   bash <skill-dir>/scripts/security-scan.sh \
     --project-root "$PROJECT_ROOT" \
     --language "$LANGUAGE"
   

3. Useful flags:
   • --skip-section semgrep
   • --skip-section secrets
   • --semgrep-config p/owasp-top-ten
   • --exclude <pattern> (repeatable)
   • --timeout-per-section 180
   • --max-findings 200
4. Load references only when findings exist:
   • <skill-dir>/references/semgrep.md
   • <skill-dir>/references/secrets.md
5. Render the orchestrator JSON using the normal severity-table style.

Severity:

• Semgrep ERROR -> [BLK]
• Semgrep WARNING -> [CRT]
• Semgrep INFO -> [MAJ]
• Any secret -> [BLK]

Secrets are not optional. Tell the user to rotate credentials first, then remove them from source or suppress documented false positives.

Security Scan does not modify the project. Suppression edits such as // nosemgrep or # pragma: allowlist secret are user actions unless the user explicitly asks for edits.

Workflow: Comprehensive Review

Triggers: "comprehensive review", "full audit", "review with all features", "maximum coverage review".

Comprehensive Review is the read-only, maximum-coverage workflow. Use it when the user asks for a broad all-feature review. Do not use auto-fix, set up linters, edit suppressions, or modify project files in this workflow.

Trigger precedence:

• Bare "full audit" routes here.
• "Architecture review", "architecture full audit", and "structural audit" route to Architecture Review.
• Existing lint-focused phrases such as "audit my project", "project scan", and "full analysis" stay in Lint project audit mode.

Steps

1. Run detection:

   bash <skill-dir>/scripts/detect-linter.sh [project-path]
   

2. Run project-level Lint in analyze mode, including explicit cyclomatic and cognitive complexity checks. Do not run native fix commands.
3. If TYPE_CHECKER is not none, run Type Check. If unavailable, record a skipped status with the reason.
4. Run Architecture Review in full structural audit mode, including tests:

   bash <skill-dir>/scripts/arch-review.sh \
     --project-root "$PROJECT_ROOT" \
     --language "$LANGUAGE" \
     --framework "$FRAMEWORK" \
     --include-tests
   

5. Run Security Scan with the default Semgrep p/security-audit config plus detect-secrets:

   bash <skill-dir>/scripts/security-scan.sh \
     --project-root "$PROJECT_ROOT" \
     --language "$LANGUAGE" \
     --semgrep-config p/security-audit
   

6. Scan the full target, but cap displayed findings using the existing workflow limits: 50 lint/type findings, 50 architecture findings, and 200 security findings per security section. Always state total counts and whether output was truncated.

Report format

Return one user-facing Comprehensive Review report with sections in this order:

• Summary: overall status, elapsed time, tools detected, files/targets scanned, total findings by severity, and section status counts.
• Lint and complexity: status, elapsed time, skipped/error reason if any, total counts, top findings, auto-fixable count, and manual-only complexity count.
• Type check: status, elapsed time, skipped/error reason if any, total counts, and top diagnostics.
• Architecture Review: status, elapsed time, skipped/error reason if any, total counts by section/severity, and top structural findings.
• Security Scan: status, elapsed time, skipped/error reason if any, Semgrep and detect-secrets counts, and top findings.
• Recommended next actions: prioritize blockers/secrets/security first, then type errors, cycles/architecture risks, high-complexity refactors, and auto-fixable lint.

Status values are clean, found, skipped, or error. Treat command exit codes that mean "findings found" as found, not error. Include concrete skip/error reasons so the user can distinguish unsupported language, missing tooling, and runtime failures.

Workflow: Linter Setup

Triggers: "set up linting", "configure eslint", "configure ruff", "add a linter", "set up code quality", "init eslint", "init ruff", "set up biome".

This is the only workflow that modifies project files.

Steps

1. Run detection and read TOOL, LANGUAGE, FALLBACK, and CONFIG.

2. If FALLBACK=false, the project already has a linter. Say which tool and config were found, then ask whether the user wants a review or config update.

3. Choose a setup:

   Python - recommend ruff:

   cp <skill-dir>/defaults/ruff.toml [project-root]/ruff.toml
   

   JavaScript - recommend ESLint:

   npm init @eslint/config@latest
   

   Non-interactive fallback:

   cp <skill-dir>/defaults/eslint.config.js [project-root]/eslint.config.js
   npm install --save-dev eslint
   

   TypeScript - recommend ESLint with TypeScript support:

   npm init @eslint/config@latest
   npm install --save-dev eslint @typescript-eslint/parser @typescript-eslint/eslint-plugin typescript-eslint
   

   If using the non-interactive install path, also create eslint.config.js:

   import tseslint from 'typescript-eslint';
   
   export default tseslint.config(
     ...tseslint.configs.recommended,
     {
       rules: {
         "complexity": ["warn", 10],
       },
     },
   );
   

   Biome alternative:

   npm install --save-dev @biomejs/biome
   npx @biomejs/biome init
   

4. Verify setup:

   bash <skill-dir>/scripts/detect-linter.sh [project-path]
   

   Confirm FALLBACK=false.

5. Offer to run Lint as the initial analysis.

6. Remind the user to commit the new config.

Output Format

Summary Header

## Code Quality Report

**Tool**: ESLint | **Config**: eslint.config.js | **Files scanned**: 3

| Severity | Count |
|----------|-------|
| [CRT] CRITICAL | 2 |
| [MAJ] MAJOR | 5 |
| [MIN] MINOR | 3 |
| **Total** | **10** |

Per-file Findings

### src/index.ts

| Line | Severity | Rule | Message |
|------|----------|------|---------|
| 10 | [CRT] | no-unused-vars | 'foo' is defined but never used |
| 25 | [MAJ] | eqeqeq | Expected '===' but found '==' |
| 42 | [MIN] | prefer-const | 'x' is never reassigned; use 'const' |

For MAJOR and above, add a brief explanation after the table:

**Line 10** (`no-unused-vars`): Unused variables indicate dead code. Remove
`foo` or use it.
**Line 25** (`eqeqeq`): `==` performs type coercion. Use `===`.

Clean Result

## Code Quality Report

**Tool**: ESLint | **Config**: eslint.config.js | **Files scanned**: 3

No issues found.

Fix Strategy

1. Prefer native auto-fix first.
2. Re-analyze after fixing.
3. For ruff, --fix applies safe fixes only; mention --unsafe-fixes only if the user wants all fixes.
4. For Biome, --write is safe and --write --unsafe applies unsafe fixes.
5. Complexity, dependency cycles, and security findings are manual unless the user explicitly asks for source edits.
6. Report what changed, what remains, and the severity of remaining issues.

Error Handling

Tool not installed

If a tool command fails with "command not found":

• ruff: uvx ruff runs without permanent installation but requires uv; if uv is missing, use pip install ruff.
• eslint: npm install --save-dev eslint.
• biome: npm install --save-dev @biomejs/biome && npx @biomejs/biome init.
• pyright: npx pyright.

Large output

If any command returns more than 50 findings, truncate to the top 50 by severity and report:

Showing top 50 of N total issues. Run analysis on specific files to see more.

Parse errors / syntax errors

If a linter reports parsing errors, report them as BLOCKER severity. Syntax errors must be fixed before the rest of the analysis is meaningful.

Reference Files

Load references based on the detected tool or requested workflow:

File	When to load
<skill-dir>/references/severity-map.md	Findings exist and need severity normalization
<skill-dir>/references/eslint.md	TOOL=eslint or JS/TS complexity wrapper details
<skill-dir>/references/biome.md	TOOL=biome
<skill-dir>/references/ruff.md	TOOL=ruff
<skill-dir>/references/pyright.md	Type Check with pyright
<skill-dir>/references/madge.md	Architecture Review focused cycles for JS/TS
<skill-dir>/references/pydeps.md	Architecture Review focused cycles for Python
<skill-dir>/references/architecture.md	Architecture Review full structural audit
<skill-dir>/references/knip.md	Architecture Review dead-code section for JS/TS
<skill-dir>/references/vulture.md	Architecture Review dead-code section for Python
<skill-dir>/references/cognitive-complexity.md	Lint or Architecture Review complexity findings
<skill-dir>/references/semgrep.md	Security Scan with Semgrep findings
<skill-dir>/references/secrets.md	Security Scan with secret findings