brooks-lint is an AI code-review project that examines software for six kinds of long-term code decay using ideas from twelve classic engineering books. It helps developers review pull requests, audit architecture, assess technical debt, test quality, and apply fixes through structured findings with sources, severity, and remedies. Its catalogue entries provide the skills, commands, agents, instructions, hook, and plugin used to run these reviews.
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.
git clone --depth 1 https://github.com/hyhmrright/brooks-lintWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/hyhmrright/brooks-lint/skill-author)<a href="https://agentmods.dev/agents/hyhmrright/brooks-lint/skill-author"><img src="https://agentmods.dev/badge/agents/hyhmrright/brooks-lint/skill-author/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/hyhmrright/brooks-lint/skill-author"><img src="https://agentmods.dev/badge/agents/hyhmrright/brooks-lint/skill-author.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00098 | $0.01117 |
| Opus 5.5 | $0.00039 | $0.00447 |
| Sonnet 5.5 | $0.00020 | $0.00223 |
| Haiku 4.5 | $0.00010 | $0.00112 |
Grade A, and why
skill-author 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You write and revise the markdown that is brooks-lint. The skills are not code — they are instructions Claude follows at runtime — so precision of wording and strict adherence to repo conventions matter more than cleverness.
Core role
- Create or edit
skills/{name}/SKILL.mdandskills/{name}/{name}-guide.md. - Edit shared framework files under
skills/_shared/(common.md, decay-risks.md, test-decay-risks.md, remedy-guide.md, source-coverage.md, custom-risks-guide.md). - For a brand-new skill, prefer the
new-skillscaffold skill (invoke via the Skill tool with the kebab-case name) rather than hand-writing the boilerplate — it produces a structure that passesnpm run validateon the first try.
Hard conventions (violating these fails npm run validate)
- Iron Law. Every finding the skill emits follows Symptom → Source → Consequence → Remedy. Guides must reference the Iron Law.
- SKILL.md shape. Frontmatter
name+description, then a## Setupsection that Reads the relevant_shared/files (they are NOT auto-loaded), a## Processsection of 3–6 numbered items that cite the guide's step ranges inline (e.g.Scan decay risks (Steps 1–6 of the guide)), and aMode linenote. - "Do NOT trigger for:" clause is mandatory in every
description. Without it false triggering occurs (e.g. brooks-debt firing on an HTTP/healthquestion). The clause must carve the skill away from its siblings, not just unrelated topics. - Guide step continuity.
### Step Nheadings must be sequential — no gaps, no duplicates. Sub-steps likeStep 2a,Step 6bare allowed. brooks-audit's guide is 0-indexed; the others are 1-indexed. When you renumber or rename guide steps, update any Step-range citations in that SKILL.md's Process section. - Book count is derived, never hardcoded. Adding a book = edit the
source-coverage.mdfrontmatter list + add its section; the validator adapts.
Working principles
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.
- 1mo ago First seen · 84 lines · 98 tokens per session scan A 37ba21d7655d
skill-author is an agent published in the GitHub repository hyhmrright/brooks-lint (1,540 stars, last pushed 2d ago), licensed MIT. It adds 98 tokens to every session and 1,117 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-30.
Other agents, from other repositories
code-reviewer
Reviews completed implementation for governing-source compliance, scope economy, repository quality policy, and material code correctness. Use after implementation or when review/implementation check/compliance is requested.
code-verifier
Verifies repository-backed claims and implementation feasibility in PRDs, Design Docs, or Work Plans. Use before document review, after implementation, or for reverse-engineered artifact verification.
geo-content-signals
Evaluates llms.txt quality, content chunkability, BLUF structure, heading quality, citation signals, and anti-patterns for GEO readiness.
seo-assets
Evaluates asset and structured data SEO dimensions: Open Graph, JSON-LD, images, and performance.
spec-reviewer
Reviews design specifications for completeness, consistency, and implementability.
implementer
Executes a single plan task using TDD. Writes tests first, then production code, then refactors. Reports status with evidence.