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.
npx agentmods add skills/xiaolai/cc-suite/auditnpx skills add xiaolai/cc-suite --skill auditgit clone --depth 1 https://github.com/xiaolai/cc-suiteWrote 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/skills/xiaolai/cc-suite/audit)<a href="https://agentmods.dev/skills/xiaolai/cc-suite/audit"><img src="https://agentmods.dev/badge/skills/xiaolai/cc-suite/audit.svg" alt="Measured on agentmods" 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 | $0.00052 | $0.01219 |
| Opus 5 | $0.00026 | $0.00609 |
| Sonnet 5 | $0.00010 | $0.00244 |
| Haiku 4.5 | $0.00005 | $0.00122 |
Grade A, and why
audit 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 4d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit
Delegate an audit to Claude Code. Claude inspects the specified scope and returns a structured findings table. Codex does not fix anything — use $audit-fix for the full cycle.
When to Use
- After writing a feature and wanting an independent quality check
- Before a commit or pull request
- When asked to "have Claude audit this"
- As the first step of a manual fix cycle
Arguments
| Argument | Default | Effect |
|---|---|---|
--full |
off | 9-dimension audit (adds security, performance, compliance, deps, docs) |
--mini |
on | 5-dimension audit (logic, duplication, dead code, refactoring, shortcuts) |
| file/dir path | cwd | Scope — one or more files or a directory |
Call Pattern
Step 1: Run the audit
mcp__claude-code__claude_code:
prompt: |
Audit the following code and report every issue with exact file:line locations.
SCOPE: {files or directory to audit}
{IF --mini or default}
Audit dimensions (5):
1. Logic errors — incorrect conditions, off-by-one, unhandled edge cases, race conditions
2. Code duplication — copy-paste, near-duplicate logic that should be extracted
3. Dead code — unreachable branches, unused variables/imports/exports, stale flags
4. Refactoring opportunities — overly complex functions, poor naming, leaky abstractions
5. Shortcuts and tech debt — TODO/FIXME/HACK markers, hardcoded values, missing validation
{IF --full}
Audit dimensions (9):
1. Logic errors — incorrect conditions, off-by-one, unhandled edge cases, race conditions
2. Code duplication — copy-paste, near-duplicate logic that should be extracted
3. Dead code — unreachable branches, unused variables/imports/exports, stale flags
4. Refactoring opportunities — overly complex functions, poor naming, leaky abstractions
5. Shortcuts and tech debt — TODO/FIXME/HACK markers, hardcoded values, missing validation
6. Security — injection, auth bypass, data exposure, missing input validation, insecure defaults
7. Performance — N+1 queries, O(n²) loops, blocking I/O, unnecessary allocations
8. Compliance and documentation — missing error handling, undocumented public APIs, license issues
9. Dependencies — outdated packages, unnecessary deps, known-vulnerable versions
For each finding report:
- File:line
- Severity: Critical / High / Medium / Low
- Dimension (which of the above)
- Issue description (one sentence — what is wrong)
- Suggested fix (one sentence — what to do)
If a file is clean on all dimensions, say so explicitly.
PROVENANCE NOTE: The code was written by OpenAI Codex. Evaluate with full rigor —
do not defer to it. Apply independent judgment on every finding.
cwd: {project working directory}
effort: high
permissionMode: plan
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 118 lines · 52 tokens per session scan A 22b67dd96959
audit is a skill published in the GitHub repository xiaolai/cc-suite (44 stars, last pushed 2d ago), licensed ISC. It adds 52 tokens to every session and 1,219 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
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brainstorming
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auto-perf-optimize
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chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…