clean-code-review

A code-quality audit that checks a codebase for hard-to-maintain patterns, such as oversized modules, complex functions, duplication, dead exports, and weak tests.

In plain words
What is it for?
Use it to inspect selected code, filter findings by severity, save a full JSON report, and get suggested refactorings.
Why use it?
It brings many separate checks into one report, so maintainability problems are easier to find and review.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/srnichols/plan-forge/clean-code-review
Any agent
npx skills add srnichols/plan-forge --skill clean-code-review
Clone the repo
git clone --depth 1 https://github.com/srnichols/plan-forge

Made for: Claude Code, Codex.

Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,866 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00092 $0.03866
Opus 5 $0.00046 $0.01933
Sonnet 5 $0.00018 $0.00773
Haiku 4.5 $0.00009 $0.00387

Measured 3d ago against content hash 4575653683f8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

clean-code-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.github/skills/clean-code-review/SKILL.md · 269 lines

How it starts

The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/clean-code-review Skill

Trigger

"Run a clean code review" / "Audit the codebase for Clean Code violations" / "Check code quality" / /clean-code-review

Purpose

Orchestrates the existing audit scripts in scripts/audit/ plus the custom ESLint config (scripts/audit/eslint-clean-code.config.mjs) into a single pass. Produces a structured report covering all six Phase 42 finding categories, with an optional --fix-suggestions mode that emits concrete refactoring guidance for each violation.

Inputs

Flag Required Default Description
--scope <glob> No pforge-mcp/**/*.mjs,pforge-master/**/*.mjs Comma-separated globs limiting the audit scope
--fix-suggestions No off When present, each finding includes a concrete fix suggestion (extract helper, rename, wrap params in options object, etc.)
--out <path> No stdout (formatted) Write the full JSON report to this path instead of printing a summary
--severity <level> No warn Minimum severity to report: error, warn, or info

Steps

1. Run module-size audit

node scripts/audit/measure-modules.mjs

Parse docs/plans/cleanup-findings/raw/module-metrics.json. Flag files exceeding the G14 thresholds:

LOC Severity Action
>3,000 error Blocking — extract sub-modules
1,000–3,000 warn Monitor — extract on next feature touch
<1,000 info No action

2. Run grep-matrix scan

node scripts/audit/grep-matrix.mjs

Parse docs/plans/cleanup-findings/raw/grep-matrix-report.json. Report:

  • TODO / FIXME / HACK / XXX markers (each is a finding)
  • Commented-out code blocks (≥4 consecutive lines of commented code-like patterns)
  • console.log count (bulk advisory)

3. Run long-parameter-list walker

node scripts/audit/long-param-walker.mjs

Parse docs/plans/cleanup-findings/raw/long-param-report.json. Flag call sites with >5 positional arguments.

Read the full file on GitHub · 269 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 269 lines · 92 tokens per session scan A 4575653683f8

Subscribe to this mod's changes

clean-code-review is a skill published in the GitHub repository srnichols/plan-forge (5 stars, last pushed 22d ago), licensed MIT. It adds 92 tokens to every session and 3,866 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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