Borrowing it
Nothing to install: this file belongs to tatargabor/set-core. 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/tatargabor/set-core/main/.claude/commands/set/audit.mdgit clone --depth 1 https://github.com/tatargabor/set-coreWrote 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/tatargabor/set-core/audit)<a href="https://agentmods.dev/commands/tatargabor/set-core/audit"><img src="https://agentmods.dev/badge/commands/tatargabor/set-core/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 5.1 | $0.00000 | $0.00312 |
| Opus 5 | $0.00000 | $0.00156 |
| Sonnet 5 | $0.00000 | $0.00062 |
| Haiku 4.5 | $0.00000 | $0.00031 |
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 today.
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
Scan project health and interactively address gaps.
Steps:
-
Run the audit scan:
set-audit scan --json -
Parse the JSON output and present findings grouped by dimension. For each dimension show:
- Status indicators (✅/⚠️/❌) for each check
- For ⚠️ and ❌ items, show the guidance with source pointers
-
After presenting, ask the user which gaps they want to address. Options:
- Address a specific dimension (e.g., "fix design docs")
- Address all ❌ items first
- Skip (just wanted the report)
-
When addressing a gap:
- Read the source files listed in the guidance
- Read
lib/audit/reference.mdfrom the set-core repo for the category description - Create project-specific content based on what you find in the ACTUAL codebase
- Do NOT use templates — read code, document patterns you discover
-
After fixing, re-run
set-audit scan --condensedto show updated health status.
Key principle: set-audit provides evidence and guidance. YOU (the LLM) read the project code and create project-specific content. The scan tells you WHERE to look, the reference tells you WHAT categories to cover, your reading of the code tells you WHAT to write.
Arguments: Optionally specify a dimension to focus on (e.g., /set:audit design-docs).
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.
- today First seen · 30 lines · 0 tokens per session scan A 2e35b11eef6c
audit is a command published in the GitHub repository tatargabor/set-core (35 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 312 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 2026-09-06.
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