본문으로 건너뛰기
cccskills
무료GitHub에 공개

agent-context-audit

Audit a repo's agent context — CLAUDE.md files, codebase docs, skills, and tool/MCP designs — against Anthropic's Claude 5 context-engineering guidance ("unhobbling": Anthropic cut ~80% of Claude Code's system prompt with no eval loss). Finds overconstraint, conflicting instructions, redundancy, stale facts, and missing "unknown knowns"; produces a scored findings report with concrete rewrites, then applies approved fixes. Use when someone says "audit my CLAUDE.md", "context audit", "unhobble this repo", "review our agent docs/skills/tools", or after upgrading to Claude 5-generation models.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md8.6 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

agent-context-audit — unhobble this repo's agent context

Goal: find where this repo's context (CLAUDE.md, docs, skills, tool designs) hobbles a Claude 5-generation model — overconstrains it, contradicts itself, repeats itself, or hides context the model actually needs — and leave behind a findings report plus approved fixes.

Background: Anthropic removed over 80% of Claude Code's system prompt for Claude 5 models with no measurable loss on coding evals. Older context was written for models that needed rules; newer models need judgment, good interfaces, and the facts they can't infer. This skill audits against that shift, plus the "finding your unknowns" framework (the gap between the map — your prompts/docs — and the territory — the actual codebase).

You are auditing first, fixing second. Do not edit anything until Step 4.

The six shifts (the audit rubric)

Every finding maps to one of these. Cite the shift number in the report.

  1. Rules → Judgment. Hard rules ("NEVER…", "ALWAYS…", "do not add comments", "one-line docstrings max") that encode a preference, not a real constraint, should become judgment framing ("write code that reads like the surrounding code") — or be deleted if the model would infer it anyway. Keep hard rules only where violation is genuinely costly (security, prod data, irreversible actions, legal/billing).
  2. Examples → Interface design. Long tool-usage examples and few-shot transcripts constrain exploration. Prefer expressive interfaces: good parameter names, enums that hint at valid states, tight descriptions. In tool/MCP definitions, an enum of pending | in_progress | completed teaches more than three worked examples.
  3. Upfront context → Progressive disclosure. Anything long that's only sometimes needed (review checklists, deploy runbooks, style deep-dives) should move out of CLAUDE.md into a skill or linked file loaded on demand. CLAUDE.md is loaded every session — it should carry only what every session needs.
  4. Repetition → Concise, single-home instructions. The same instruction appearing in CLAUDE.md and a skill and a tool description is a bug: copies drift and eventually conflict. Each instruction gets exactly one home — tool-usage guidance lives in the tool description, repo gotchas in CLAUDE.md, team opinions in skills.
  5. Manual memory → Automatic memory. Sections telling the agent to hand-maintain notes/changelogs in CLAUDE.md, or accumulated session-specific trivia, are obsolete where auto-memory exists. Flag CLAUDE.md content that is really memory (per-user, per-incident, time-bound) rather than repo truth.
  6. Simple specs → Rich references. Where docs describe behavior in loose prose, prefer pointing at the real thing: @-referenced source files, a test suite, an HTML mockup, a rubric a verifier can score against. Code-based specs beat prose paraphrases of code.

Cross-cutting failure modes to hunt alongside the shifts:

  • Conflicts — instructions that clash across layers (e.g. "document thoroughly" in one file, "DO NOT add comments" in another). Highest-value findings; a conflict forces the model to deliberate or guess on every task.
  • Staleness (map ≠ territory) — docs naming files, commands, flags, or services that no longer exist, or missing ones that now do. Verify every concrete claim you audit against the actual repo.
  • Missing unknown-knowns — things obvious to the team but written nowhere: the non-obvious build step, the directory you must never touch, the reason a weird pattern exists. These are what CLAUDE.md is for ("repository gotchas rather than obvious patterns").

Step 0 — Inventory the context surface

Collect everything that gets assembled into an agent's context here. Look for the capability, not a specific filename:

  • CLAUDE.md files — root, nested per-directory, ~/.claude/CLAUDE.md only if the user asks for a global audit. Also AGENTS.md, .cursorrules, .github/copilot-instructions.md if present (same disease, same cure).
  • Skills — .claude/skills/**/SKILL.md, skills/**/SKILL.md, plugin skills committed to the repo.
  • Tool designs — MCP server definitions the repo owns (tool names, descriptions, parameter schemas), custom slash commands, hooks, and any agent definitions (.claude/agents/*.md).
  • Codebase docs agents are pointed at — README, CONTRIBUTING, docs/ referenced from CLAUDE.md or skills.

Record rough sizes (lines/tokens) per artifact — total always-loaded weight is itself a finding when large.

Step 1 — Audit each artifact against the rubric

For each artifact, walk the six shifts and cross-cutting modes. For every finding record: file:line, quote, shift #, severity, proposed rewrite (the actual replacement text — or "delete", with one line of why it's safe).

Severity:

  • high — conflicts between layers; rules that block correct behavior; stale facts an agent would act on.
  • medium — overconstraint, redundancy, always-loaded bulk that belongs in a skill.
  • low — style, phrasing, minor bloat.

Verify before you flag: a claim of staleness must be checked against the repo (does that script exist? does that command run?); a claim of redundancy must cite both locations.

Step 2 — Probe for unknowns (the gaps docs don't show)

Auditing text only finds what's written. Now find what's missing:

  • Blind-spot pass: skim the actual territory — build config, CI, scripts, the weirdest-looking directories — and list load-bearing facts that appear in no doc. Each is a candidate "unknown known" to add.
  • Knowledge quiz: write 5–10 questions a fresh agent must answer to work here safely ("how do I run one test?", "what must never be committed?", "which service is the source of truth for X?"). Answer each using only the audited docs. Unanswerable questions = gaps; wrong answers = stale docs.
  • Git check: git log --oneline -20 -- <doc> — a CLAUDE.md untouched for months in an active repo is presumptively stale; recent churny areas of the codebase with no doc coverage are presumptive gaps.

Step 3 — Report

Deliver a findings report (markdown in the repo, e.g. docs/agent-context-audit-YYYY-MM-DD.md, or just in the reply if the user prefers):

  1. Scorecard — per artifact: size, finding counts by severity, one-line verdict (keep / trim / restructure / delete).
  2. Findings table — file:line, quote, shift #, severity, proposed rewrite.
  3. Gaps — missing unknown-knowns from Step 2, each with proposed text and the home it belongs in (CLAUDE.md vs skill vs tool description).
  4. Projected result — estimated always-loaded context before → after.

Lead with the top 3–5 highest-value changes; don't bury a layer conflict under twenty style nits.

Step 4 — Apply (with approval)

Ask which findings to apply (all high, everything, or cherry-pick). Then:

  • Make the edits exactly as proposed in the report.
  • When moving content out of CLAUDE.md into a skill, create the skill and leave a one-line pointer behind.
  • Keep each change reviewable — don't reflow or rewrite text you didn't flag.
  • If /doctor is available in this Claude Code install, suggest the user also run it as a second opinion on CLAUDE.md/skill sizing.

Anti-patterns for the auditor

  • Deleting a hard rule that guards something genuinely irreversible — the point is removing fake constraints, not real ones.
  • Flagging brevity as a problem — short, dense CLAUDE.md files are the goal.
  • Rewriting voice/style wholesale — preserve the team's phrasing where content is sound.
  • Reporting a finding without a concrete rewrite — every finding must be actionable as written.

Sources: Anthropic, "The new rules of context engineering for Claude 5 generation models" (claude.com/blog); "A field guide to Claude Fable: finding your unknowns" (claude.com/blog).

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

<What it does, one line>. Trigger phrases: <phrases>.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gabrielmoreira/agent-skills-mirror192026년 10월 21일 업데이트

Use this skill whenever the user wants to create or improve a presentation for an academic context — conference papers, seminar talks, thesis defenses, grant briefings, lab meetings, invited lectures, or any presentation where the audience will evaluate reasoning and evidence. Triggers include: 'conference talk', 'seminar slides', 'thesis defense', 'research presentation', 'academic deck', 'academic presentation'. Also triggers when the user asks to 'make slides' in combination with academic content (e.g., 'make slides for my paper on X', 'create a presentation for my dissertation defense', 'build a deck for my grant proposal'). This skill governs CONTENT and STRUCTURE decisions. For the technical work of creating or editing the .pptx file itself, also read the pptx SKILL.md.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gabrielmoreira/agent-skills-mirror192026년 10월 21일 업데이트

adapt

무료

Shortest English alias for web-adapt / universal-web-adaptation. Use this when adapting an unfamiliar public website generically before creating any site-specific rules.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gabrielmoreira/agent-skills-mirror192026년 10월 21일 업데이트

Use this skill to audit CLI adapter projects (like opencli) for missing output fields, then batch-generate fixes and submit PRs. Turns AI agents into adapter quality reviewers.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gabrielmoreira/agent-skills-mirror192026년 10월 21일 업데이트

ads

무료

Operate professional paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for account intake, source-grounded audits, strategy, budget and measurement planning, creative production, experiments, reporting, monitoring, and explicitly approved campaign changes. Also trigger on PPC, paid social, retail media, attribution, tracking, landing pages, cross-platform conversion totals, negative keywords or search terms, beta-feature scoring, stale platform claims, API-token or credential setup, campaign deletion, and safe Claude Ads installation or uninstall.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gabrielmoreira/agent-skills-mirror192026년 10월 21일 업데이트

Audit Amazon Ads profiles, regions, Sponsored Products, Sponsored Brands, Sponsored Display, DSP, portfolios, targeting, search terms, retail readiness, creative, budgets, ACOS, TACOS, reporting, and policy. Use for Amazon Ads, sponsored ads, Amazon PPC, ACOS, TACOS, ASIN advertising, Amazon DSP, or retail-media optimization.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gabrielmoreira/agent-skills-mirror192026년 10월 21일 업데이트

gabrielmoreira의 스킬 모두 보기

이 스킬의 문제 신고