Agent skill

Weekly Audit Patterns

by amd in amd/gaia

The non-obvious invariants of the proactive nightly Claude audit workflow (.github/workflows/claude-nightly-audit.yml): the day-of-week mode selector, the two-key dedup scheme (clusterkey per…

MITAuto-check passedSecurity

Install Weekly Audit Patterns

skills CLI
$ npx skills add amd/gaia --skill weekly-audit-patterns -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install amd/gaia weekly-audit-patterns --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/amd/gaia.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/weekly-audit-patterns .claude/skills/weekly-audit-patterns && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
weekly-audit-patterns
GitHub stars
1.6k
Token cost
~4.4k tokens
SKILL.md length
2,431 words
Files
1
Skills in repo
44
Repo updated
First seen
Licence
MIT

At a glance

The non-obvious invariants of the proactive nightly Claude audit workflow (.github/workflows/claude-nightly-audit.yml): the day-of-week mode selector, the two-key dedup scheme (clusterkey per…

  • Tasks that involve Security review
  • SKILL.md covers The four dimensions are…, Published hub agents get the…, Severity: 🔴 high · 🟠 medium… and Only 🔴/🟠 get an issue — 🟡…, plus 7 more sections
  • Calls gh

What it does

Weekly Audit Patterns is an agent skill from amd/gaia. The non-obvious invariants of the proactive nightly Claude audit workflow (.github/workflows/claude-nightly-audit.yml): the day-of-week mode selector, the two-key dedup scheme (clusterkey per defect, dedupkey per location) that keeps one defect from becoming N issues, the four audit dimensions (security has its own nightly workflow, claude-security-audit.yml) and which one owns the Fail-Loudly check, and the bug-label → auto-fix promotion path. Read before editing that workflow, changing its cadence, changing how…

Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Security, covering Security review. It works with GitHub Actions. The repository describes itself as: Build AI agents for your PC. The licence is MIT.

When your agent uses it

  • Tasks that involve Security review

Example prompts

  • “/weekly-audit-patterns”

What it can do on your machine

Read from SKILL.md and the folder at commit 6c3bb5c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • gh

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use gh, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Weekly Audit Patterns loads about 4.4k tokens when it runs. Until then it costs about 151 tokens; SKILL.md has 2,431 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~151
When it runs · the whole SKILL.md, loaded when a task matches
~4.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from amd/gaia at commit 6c3bb5c, republished under its MIT licence (© amd). 2,431 words, ~4,366 tokens.

Download SKILL.mdSave it as .claude/skills/weekly-audit-patterns/SKILL.md (or your agent's skills folder).
name
weekly-audit-patterns
description
The non-obvious invariants of the proactive nightly Claude audit workflow (.github/workflows/claude-nightly-audit.yml): the day-of-week mode selector, the two-key dedup scheme (cluster_key per defect, dedup_key per location) that keeps one defect from becoming N issues, the four audit dimensions (security has its own nightly workflow, claude-security-audit.yml) and which one owns the Fail-Loudly check, and the `bug`-label → auto-fix promotion path. Read before editing that workflow, changing its cadence, changing how findings are filed/deduped, or adding an audit dimension.

Nightly Audit Patterns

.github/workflows/claude-nightly-audit.yml is the repo's one proactive Claude lens — a scheduled deep review (not triggered by a PR) that fans out one read-only Claude job per dimension and files one issue per defect. Everything else in claude.yml is reactive. These are the invariants a future editor will otherwise break.

Naming: this ran weekly before it moved to a nightly cron (10:37 UTC ≈ 3am Pacific, deep on Sundays). The filename, name:, cron, and concurrency group now all say nightly. Two identifiers still say weekly and are correct as they are:

  • the weekly-audit label — a provenance label ("a proactive Claude audit filed this"), shared with the genuinely-weekly claude-weekly-doc-walkthrough.yml. No cadence word fits both workflows, so it keeps the neutral name it happens to have; its --description in both workflows says exactly that.
  • this skill's name, referenced from CLAUDE.md.

An earlier version of this note justified the label by claiming a rename "would re-file every open finding." That is false, and worth correcting because it is the reasoning a future editor inherits: GitHub renames a label in place and every issue keeps it, and dedup never matched on the label text — it reads the audit-key / audit-cluster markers in issue bodies. The label only scopes which issues get scanned for those markers (--label in scripts/audit/prepare_synthesis.py, one default to update).

The four dimensions are mutually exclusive

correctness, docs, tests, features — a matrix of one Claude job each. Security is NOT a dimension here — it moved to its own workflow, claude-security-audit.yml (deterministic semgrep + a Claude taint/authz/suppression sweep, CVSS-scored, findings to the private code-scanning tab). Don't re-add it here; that created two half-owners and the single general "security lens" is what missed the hub tar-slip. The lenses overlap unless the prompt keeps them disjoint, and the first run proved it: correctness findings (a rollback that never rolls back, a poller returning null, a mode that no-ops) leaked into features, and the priciest job's output vanished from what got filed. The decisive question for a broken thing: is the code wired but misbehaving (correctness), never written (features), or contradicted by its docs (docs)?

  • correctness owns wired-but-broken behavior AND the CLAUDE.md "Fail Loudly" check (except Exception: pass, try/except returning a placeholder, silent degradation).
  • features is only genuinely-missing/half-shipped capability — a TODO for code never written. Wired-but-broken is correctness, not features.
  • docs owns doc-vs-code drift, including a feature documented as working but stubbed.
  • tests in deep mode gives every plain "module X has no coverage" the shared cluster_key tests:aggregate-untested-modules so they merge into one issue; separate findings only for risk-bearing untested logic (auth/gate/precedence/error-mapping/#1655).

Adding a dimension means: add it to the matrix, describe its disjoint lens in the shared prompt, and the synthesis picks up its findings-<dim>.json automatically.

Published hub agents get the highest bar

Published agents are the shop window — the prompt makes every lens double-check them and bump any gap up one severity (never 🟡; a default-path break is 🔴). Detect them by a release_agent_<id>.yml, a shipped SCORECARD.md, or a released version: in gaia-agent.yaml — currently the email agent and the gaia flagship agent. The bar: in-sync high-quality README/SPEC.md/SKILL.md/CHANGELOG.md (+ any contract spec) with a real eval SCORECARD.md (gated by gaia.eval.scorecard_gate, never hand-authored) linked from the README; bulletproof runtime code (no stubs/silent-fallbacks); solid #1655-grade tests. When a new agent publishes, the detection generalizes to it automatically — no prompt edit needed.

Severity: 🔴 high · 🟠 medium · 🟡 low — no green

Green (🟢) reads as "pass/good," so it's banned. Broken behavior always outranks a missing test — never rate "module X has no tests" above a feature that's actually broken. High = security / data loss / default-path break; medium = broken user-facing behavior, a false doc, or a missing test guarding auth/a gate/destructive logic; low = missing tests on non-risk logic, cosmetic gaps. The synthesis emits a section per dimension (fixed order: Correctness, Features, Docs, Tests), grouping each finding under the dimension it declares — it never re-buckets.

Only 🔴/🟠 get an issue — 🟡 lives in the job summary

Only high/medium defects are filed (and thus get one-click bug→auto-fix promotion). 🟡 (low) findings appear in the run's job-summary report and nowhere else — this caps tracker churn; the first deep run filed 19 issues, ~13 of them low-value coverage nits. Each finding carries an auto_fixable boolean, and the issue body says whether applying bug will let auto-fix land it (locatable/small) or whether it needs a human (a test suite, a refactor) — so maintainers don't promote something auto-fix can't handle.

Findings are filtered in SYNTHESIS, never in the lenses

The lenses report everything they can ground in something they read — including findings they are unsure about. Synthesis is the only filter. This split is deliberate and load-bearing on Claude Opus 5: a lens prompt that says "be conservative", "precision beats recall", or "skip anything you aren't confident is real" gets followed literally — the model investigates just as hard and then silently reports less. Both this workflow and claude-security-audit.yml previously said exactly that. Do not put it back. (The security audit's own origin story is a recall failure: its predecessor missed the hub tar-slip, CWE-22, by sampling and trusting a suppression comment.)

What each side owns:

  • Lens: grounding only. Open the cited file, confirm the problem is present, confirm it isn't already handled, and fill evidence with what you actually read. No evidence, no finding — the one hard filter upstream. Express doubt through severity (file it 🟡 and say so in why), never by dropping the item.
  • Synthesis: the real gate. Drops any finding at any severity whose evidence doesn't substantiate its title, re-reads the cited path/symbol for every 🔴/🟠 before filing, and demotes over-stated findings rather than deleting them. The mechanical half of its old job — merging one defect's locations, including across dimensions — now happens before it, in the deterministic dedup pass below.

If the tracker gets noisy, tighten synthesis. Do not re-muzzle the lenses.

Findings are written for a human, not an auditor

Every filed issue follows CLAUDE.md → How You Communicate: the title and opening line say what broke and who it hurts, in plain words; the path:line evidence goes underneath in a sub-bullet or a <details> block. A finding that opens with a symbol name is one a triager skips.

ONE ISSUE PER DEFECT — the invariant everything else serves

A defect is what a maintainer fixes, not where they see it. One root cause spanning 39 files is one fix, so it gets ONE issue listing 39 locations. Both halves of this have already broken, in a single night each: file-scoped keys turned one dead lemonade-server serve command into five issues, and dedup that searched only the weekly-audit label could not see the four-month-old #1077, so the audit re-discovered it 14 times.

Every finding carries two keys, and they are not interchangeable:

  • cluster_key = <dimension>:<root-cause-slug> identifies the DEFECT and contains no path. Every location of one defect carries the identical key and merges into one issue. The test the lens prompt gives: how many separate PRs would fix all of this? — that is how many cluster keys there should be.
  • dedup_key = <dimension>:<path>:<symbol-or-section> identifies the LOCATION. The symbol is a function/class name or doc heading, NEVER a line number (line numbers move, so a line-based key re-files the same finding every run).

Filed issues embed both as <!-- audit-cluster: KEY --> and <!-- audit-key: KEY -->, and the dedup pass reads either marker — that back-compatibility is what stopped the two-key change from re-filing the ~130 findings already open.

scripts/audit/prepare_synthesis.py is the dedup pass, run by the synthesize job of both this workflow and the doc walkthrough, before the Claude filing step. It merges findings by cluster_key, searches the whole open backlog (not one label) for an issue already tracking each defect, flags likely sibling clusters within a run, and writes synthesis-dossier.md as the model's worklist. It is deterministic on purpose: asking a model to eyeball dedup across ~900 open issues produced a 2.35x duplication ratio. Do not move this back into the prompt, and do not narrow the search back to one label.

Synthesis then picks exactly one of three outcomes per defect: drop it (the evidence gate), comment on the existing backlog issue the dossier surfaced, or file one new issue. Commenting is the #1077 fix — err toward it, because a comment on the wrong issue is trivially undone and a duplicate issue is what created this backlog.

Suppression is load-bearing, and it is now SCOPED to the key that carries it. Closing an issue with audit-wontfix (open or closed) is still the only way to permanently silence accepted debt, but which key that issue carries decides how much it silences:

  • an audit-cluster key silences the whole defect — it never comes back;
  • an audit-key silences only that one location; the defect's other locations still get filed, minus the suppressed one.

Two matching rules follow the same split, and both exist because the naive version loses real findings: one old per-file wontfix must not mute a defect later found in 38 more places, and a single months-old issue must not make 38 newly-found locations vanish. So a location-key match against an open issue leaves the defect new and hands the issue number to synthesis as a comment target — which is also how the ~130 pre-clustering one-issue-per-file findings get consolidated instead of orphaned.

Show full SKILL.md (917 more words)Show less

No run receipts — the per-run report is a job summary

Neither this workflow nor the doc walkthrough files a Nightly audit — <run-id> / Doc walkthrough — <run-id> issue. Synthesis writes triage-report.md and a following step appends it to $GITHUB_STEP_SUMMARY. There is no parent issue, no chain, no cross-linking a prior run, and no "never close a parent" rule — that whole mechanism is gone. It filed one bookkeeping issue per run and accumulated 19 of them, none actionable.

The report is a one-line tally (filed / commented / low / dropped) then a section per dimension in fixed order — Correctness, Features, Docs, Tests — with each defect under the dimension it declares, never re-bucketed, and 🔴 → 🟠 → 🟡 within a section. 🟡 lines live here and nowhere else. The publishing step is plain bash under if: always(), so the report survives a synthesis step that errored after writing it.

Still enforced: the workflow never closes an issue. Only a human does. An earlier version auto-closed the previous parent as "superseded" and silently hid 18 unaddressed findings the moment the next run fired (#2010). The parents are gone; the no-auto-close rule outlives them and applies to every issue the audits file or comment on.

Security is out of scope here — it has its own workflow

Security moved to .github/workflows/claude-security-audit.yml (see its own patterns skill). This audit files public issues, which is the wrong channel for a vulnerability — so the prompt now tells every lens to hand off any security issue it notices rather than file it, and the synthesis emits no security section. Do not re-add a security dimension here or route a security finding into a public issue.

Promotion: bug label → existing auto-fix job

Filed issues are opened without any auto-fix trigger label. A maintainer promotes one to a PR by applying the bug label; the existing auto-fix job in claude.yml (gated on label.name == 'bug' and contains(labels,'bug')) then creates the branch + PR. There is no PR-creation code in this workflow — humans gate every code change. A documentation/tests label alone does NOT trigger auto-fix; route promotions through bug unless you deliberately widen the auto-fix if.

Cost & safety invariants

  • Model is AUDIT_MODEL (top-level env, claude-opus-5-5 — $4/$20 per MTok, under half Fable's price for comparable static-review quality, run at its default medium effort). One place to change it; swap to claude-fable-5 for maximum depth at ~2x cost. A measured Fable deep run was ~$45 of API-equivalent subscription usage; Opus roughly halves that. ⚠️ Model support is gated by the pinned claude-code-action version — the action bundles the CLI that resolves model names, so a model newer than the pin is unresolvable and fails as a broken job rather than a clear error. Bump the SHA in the same change and prove it first with gh workflow run claude-auth-canary.yml -f model=<new-id>.
  • Serialized dimensions: the matrix runs max-parallel: 1 so the run is a steady drip, not a 4-job burst — this keeps it under the Max subscription's rolling (5-hour) rate limit. If you re-parallelize, expect a token spike that can trip that limit.
  • Skip-if-empty: normal mode exits in preflight before any Claude call on a night with no commits. Deep mode never skips. This matters more now the cadence is nightly.
  • Cadence: nightly at 10:37 UTC (≈3am Pacific). The sibling claude-security-audit.yml also runs nightly, deliberately ~1.4h earlier at 09:13 UTC so the two proactive Claude runs never stack on the shared subscription pool.
  • Modes: normal = last N days' diff (window_days, default 1); deep = whole codebase, auto-selected on Sundays. ⚠️ The selector keys off ISO day-of-week (date -u +%u, 7 = Sunday), NOT day-of-month. It previously read day-of-month ≤ 7 and was only correct because the cron fired on Mondays alone. Under the nightly cron that test matches the 1st–7th of every month — seven consecutive whole-codebase deep sweeps instead of one. Do not "simplify" it back to a day-of-month check.
  • Read-only: dimension + synthesis jobs run --allowedTools Read,Grep,Glob,Bash — no Edit/Write, never install or run repo code (same rule as claude.yml review jobs).
  • A partial sweep never synthesizes. Every lens writes {"findings": []} even when clean, so a missing file means the lens never ran: the upload fails on it, and synthesis hard-fails if fewer files arrive than preflight declared dimensions. The doc walkthrough gained the same gate per discovered guide (#3058) — without it a night where every judge crashed reached synthesis, found nothing to file, and reported a clean run.
  • Concurrency group claude-nightly-audit (not cancel-in-progress) so two scheduled runs never overlap and double-file.
  • dry_run dispatch input (both this workflow and the doc walkthrough): files and comments nothing, and reports what it would have done in the job summary. This is the only way to validate a dedup change against the live backlog without polluting it — a bad dedup pass files dozens of duplicates, which is expensive to undo and untestable any other way. Don't remove it.
  • Auth is the same OAuth-preferred / API-key-fallback wiring as every claude.yml job. claude-auth-canary.yml covers the credentials — it does not cover the actor gate below, because the canary runs on dispatch with a human actor.
  • allowed_bots must name every bot that can actor a schedule event. On schedule the actor is whoever last touched the default branch: github-merge-queue[bot] normally, github-actions[bot] after a release workflow commits. A bot missing from the list means claude-code-action rejects the run before Claude starts — and the run still reports green. That failure went unnoticed for five weeks, and then recurred when the fix was applied to the canary but not the six other steps (#3059). Every anthropics/claude-code-action step in a scheduled workflow now needs allowed_bots: "github-merge-queue,github-actions"; tests/unit/test_claude_audit_workflow_contract.py fails if one drops it.

© amd, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/weekly-audit-patterns of amd/gaia.

Open the folder on GitHubat commit 6c3bb5c

Compare with similar skills

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Works with

Categories

Questions about Weekly Audit Patterns

What does Weekly Audit Patterns do?

The non-obvious invariants of the proactive nightly Claude audit workflow (.github/workflows/claude-nightly-audit.yml): the day-of-week mode selector, the two-key dedup scheme (clusterkey per…. Weekly Audit Patterns is an agent skill from amd/gaia.yml) and which one owns the Fail-Loudly check, and the bug-label → auto-fix promotion path.

When should I use Weekly Audit Patterns?

Weekly Audit Patterns fits situations like: tasks that involve Security review.

How do I install Weekly Audit Patterns in Claude Code?

Run `npx skills add amd/gaia --skill weekly-audit-patterns -a claude-code`. Or copy the skill folder (.claude/skills/weekly-audit-patterns in amd/gaia) into .claude/skills/weekly-audit-patterns in your project. Claude Code loads it when a task matches its description.

How do I install Weekly Audit Patterns in Codex?

Run `npx skills add amd/gaia --skill weekly-audit-patterns -a codex`. Or copy the skill folder (.claude/skills/weekly-audit-patterns in amd/gaia) into .agents/skills/weekly-audit-patterns in your project. Codex loads it when a task matches its description.

Can I use Weekly Audit Patterns in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add amd/gaia --skill weekly-audit-patterns -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/weekly-audit-patterns, .gemini/skills/weekly-audit-patterns, .github/skills/weekly-audit-patterns and .opencode/skills/weekly-audit-patterns in your project.

What does Weekly Audit Patterns need to run?

Going by SKILL.md and its folder, Weekly Audit Patterns needs the command-line tools its instructions call (gh).

Does Weekly Audit Patterns access the network?

SKILL.md contains no URLs. Its commands use gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Weekly Audit Patterns safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Weekly Audit Patterns use?

Weekly Audit Patterns is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Weekly Audit Patterns use?

About 4.4k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Weekly Audit Patterns?

Skills that share tags, products or a category with Weekly Audit Patterns: Agentic GitHub Actions Auditor (trailofbits/skills, 7.4k stars), Warden Security Review (UsefulSoftwareCo/executor, 4.1k stars), Gha Security Review (getsentry/skills, 1k stars) and Secure GitHub Actions (vechain/x-app-template, 450 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Weekly Audit Patterns?

amd (a GitHub organization) maintains it in amd/gaia, which has 1,580 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on October 6, 2026.

Source: amd/gaia on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.