Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add spruikco/fat-agent-skill/plugin install fat-agentWrote 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/commands/spruikco/fat-agent-skill/fat-audit)<a href="https://agentmods.dev/commands/spruikco/fat-agent-skill/fat-audit"><img src="https://agentmods.dev/badge/commands/spruikco/fat-agent-skill/fat-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/commands/spruikco/fat-agent-skill/fat-audit"><img src="https://agentmods.dev/badge/commands/spruikco/fat-agent-skill/fat-audit.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00031 | $0.00443 |
| Opus 5.5 | $0.00012 | $0.00177 |
| Sonnet 5.5 | $0.00006 | $0.00089 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade A, and why
fat-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.
What it actually says
/fat-audit — Run a FAT Agent Audit
You have been asked to run a FAT Agent (Fix, Audit, Test) audit.
Setup
- Bootstrap dependencies (runs once, skips if already installed):
cd ${CLAUDE_PLUGIN_ROOT} && (command -v uv >/dev/null 2>&1 && uv pip install -q -r pyproject.toml 2>/dev/null || pip install -q matplotlib python-docx python-pptx Pillow 2>/dev/null) && echo "deps ready" - Load the FAT Agent skill instructions from
${CLAUDE_PLUGIN_ROOT}/skills/fat-agent/SKILL.md - If a URL argument was provided, use it as the live URL and skip that question in Phase 0
Workflow
Follow the full FAT Agent workflow:
- Phase 0 — Gather Context — Ask for any missing details (site type, tech stack, hosting platform). If the URL was provided as an argument, skip the URL question.
- Phase 1 — Audit — Run all check categories against the live URL. Use the analysis scripts at
${CLAUDE_PLUGIN_ROOT}/scripts/and reference files at${CLAUDE_PLUGIN_ROOT}/references/as needed. - Phase 2 — Fix — Generate the prioritised FAT Report and offer to fix issues.
- Phase 3 — Test — After fixes are deployed, re-verify and generate the final scorecard and badge.
Scripts
${CLAUDE_PLUGIN_ROOT}/scripts/analyse-html.py— HTML analysis helper${CLAUDE_PLUGIN_ROOT}/scripts/calculate-score.py— Scoring calculator${CLAUDE_PLUGIN_ROOT}/scripts/generate-badge.py— SVG badge generator
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 · 39 lines · 31 tokens per session scan A 76109340753b
fat-audit is a command published in the GitHub repository spruikco/fat-agent-skill (40 stars, last pushed 7d ago), licensed MIT. It adds 31 tokens to every session and 443 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.
fat-audit compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| fat-auditspruikco/fat-agent-skill | Command | 40 | 7d ago | MIT | A | 31 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |