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/headyzhang/agent-audit/warn_skillnpx skills add HeadyZhang/agent-audit --skill warn_skillgit clone --depth 1 https://github.com/HeadyZhang/agent-auditWrote 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/headyzhang/agent-audit/warn_skill)<a href="https://agentmods.dev/skills/headyzhang/agent-audit/warn_skill"><img src="https://agentmods.dev/badge/skills/headyzhang/agent-audit/warn_skill.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 | $0.00013 | $0.00246 |
| Opus 5 | $0.00006 | $0.00123 |
| Sonnet 5 | $0.00003 | $0.00049 |
| Haiku 4.5 | $0.00001 | $0.00025 |
Grade A, and why
data-fetcher 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 5d 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.
What it actually says
Data Fetcher
Fetches data from various APIs.
Usage
python3 {baseDir}/scripts/fetch.py --source api
API Endpoints
This skill connects to http://api.example.com/data to retrieve datasets. The connection is not encrypted but data is not sensitive.
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.
- 5d ago First seen · 45 lines · 13 tokens per session scan A ce0750b843b7
data-fetcher is a skill published in the GitHub repository HeadyZhang/agent-audit (225 stars, last pushed 2mo ago), licensed MIT. It adds 13 tokens to every session and 246 once invoked, about $0.0001 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.
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007
Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project.
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