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 commands/phoenix0531-sudo/tidy-skill/audit-artifactsgit clone --depth 1 https://github.com/Phoenix0531-sudo/tidy-skillWrote 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/phoenix0531-sudo/tidy-skill/audit-artifacts)<a href="https://agentmods.dev/commands/phoenix0531-sudo/tidy-skill/audit-artifacts"><img src="https://agentmods.dev/badge/commands/phoenix0531-sudo/tidy-skill/audit-artifacts.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 | $0.00000 | $0.00073 |
| Opus 5 | $0.00000 | $0.00036 |
| Sonnet 5 | $0.00000 | $0.00015 |
| Haiku 4.5 | $0.00000 | $0.00007 |
Grade A, and why
audit-artifacts 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.
What it actually says
/audit-artifacts
List suspicious root agent process files and placement directories.
Command
python scripts/audit_agent_artifacts.py --root . --max-depth 3 --json
Rules
- Report only
- Ignore
.gitkeep/.keeplayout markers - Never delete files as part of this command
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 · 16 lines · 0 tokens per session scan A 1bdeafb4b736
audit-artifacts is a command published in the GitHub repository Phoenix0531-sudo/tidy-skill (20 stars, last pushed 26d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 73 tokens. 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 commands, from other repositories
profile
Save, apply, and share multi-agent configuration profiles.
doctor
Run a system health check to diagnose common issues.
init
Scaffold a new SKILL.md for your agent skill.
setup
One command. All agents. Skills + MCP servers. Zero configuration.
bundle
Install multiple skills at once from inline sources or a bundle file.
diff
Compare two SKILL.md files section-by-section. Parses frontmatter and body sections independently, showing exactly what changed.