Borrowing it
Nothing to install: this file belongs to ai-analyst-lab/agentxp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ai-analyst-lab/agentxp/main/.claude/skills/audit/SKILL.mdgit clone --depth 1 https://github.com/ai-analyst-lab/agentxpWrote 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/ai-analyst-lab/agentxp/audit)<a href="https://agentmods.dev/skills/ai-analyst-lab/agentxp/audit"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/agentxp/audit/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/skills/ai-analyst-lab/agentxp/audit"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/agentxp/audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00032 | $0.00772 |
| Opus 5.5 | $0.00013 | $0.00309 |
| Sonnet 5.5 | $0.00006 | $0.00154 |
| Haiku 4.5 | $0.00003 | $0.00077 |
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 2mo 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.
Skill: /audit
Purpose
The audit surface is two things: experiments/<id>/log.md (append-only human-readable log) and git log (every commit_artifact runs a git commit). This skill walks both, optionally diffs two experiments, and optionally renders HTML.
There is no separate event log in v2 — git is the chain.
When to invoke
Direct:
/audit <exp_id>— text timeline/audit <exp_id> --diff <other_exp_id>— pairwise diff/audit <exp_id> --html— self-contained HTML
Plain-English routing:
| Phrase | What to do |
|---|---|
| "Why did exp_007 halt?" | /audit exp_007 then look for halt-related entries |
| "Compare exp_001 to exp_007" | /audit exp_001 --diff exp_007 |
| "Send the audit to my director" | /audit <id> --html and surface the file path |
| "What dispatches landed for exp_004" | /audit exp_004 then filter for dispatch entries |
Procedure
Text mode (default)
from pathlib import Path
from agentxp.workflows.audit import walk_log
for entry in walk_log(Path.cwd() / "experiments" / args.exp_id):
print(f"{entry.timestamp} {entry.message}")
Optionally interleave git log --oneline -- experiments/<id>/ so each commit SHA appears next to its log entry. The two are kept in sync by commit_artifact.
Diff mode
from agentxp.workflows.audit import diff_logs
for d in diff_logs(exp_a, exp_b):
if d.kind == "changed":
print(f"line {d.line_no}: {d.a.message} -> {d.b.message}")
elif d.kind == "only_in_a":
print(f"only in {exp_a.name}: {d.a.message}")
elif d.kind == "only_in_b":
print(f"only in {exp_b.name}: {d.b.message}")
HTML mode
Render a self-contained HTML page that includes the log timeline + the renders catalog summary + the integrity-lock receipt from brief.sealed.yaml. Use agentxp.render.report for the HTML adapter; the data comes from walk_log and list_catalog.
Tools you call
walk_log/diff_logsfromagentxp.workflows.auditlist_catalogfromagentxp.workflows.readouts(for the renders catalog summary in HTML mode)git log --oneline -- experiments/<id>/via Bash for commit SHAs
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.
- 2mo ago First seen · 84 lines · 32 tokens per session scan A 89c540b18686
audit is a skill published in the GitHub repository ai-analyst-lab/agentxp (12 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 772 once invoked, about $0.0001 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.
audit compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| auditai-analyst-lab/agentxp | Skill | 12 | 2mo ago | Apache-2.0 | A | 32 | Claude Code |
| merge-batchdiegosouzapw/OmniRoute | Skill | 83k | 5d ago | MIT | A | 46 | Claude Code |
| prowler-commitprowler-cloud/prowler | Skill | 15k | yesterday | Apache-2.0 | A | 44 | Claude Code, Codex |
| gh-auth-isolationgithub/gh-aw | Skill | 5.6k | yesterday | MIT | A | 20 | Claude Code, Codex |
| github-skillzeenie-ai/OpenCompany | Skill | 1.1k | yesterday | MIT | A | 51 | Claude Code |
| comet-githubrpamis/comet | Skill | 3.3k | yesterday | MIT | A | 72 | Claude Code, Codex |
| release-helperSahir619/fable-method | Skill | 2.3k | 1mo ago | MIT | A | 43 | Claude Code |