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 skills add JHostalek/dotclaude --skill auditgit clone --depth 1 https://github.com/JHostalek/dotclaudeWrote 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/jhostalek/dotclaude/audit)<a href="https://agentmods.dev/skills/jhostalek/dotclaude/audit"><img src="https://agentmods.dev/badge/skills/jhostalek/dotclaude/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/jhostalek/dotclaude/audit"><img src="https://agentmods.dev/badge/skills/jhostalek/dotclaude/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 | $0.00015 | $0.00160 |
| Opus 5.5 | $0.00006 | $0.00064 |
| Sonnet 5.5 | $0.00003 | $0.00032 |
| Haiku 4.5 | $0.00002 | $0.00016 |
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 2d 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 $ARGUMENTS per the review workflow: one reviewer per dimension, each over the whole requested scope. Read-only: report findings, change no code.
Dimensions, one file each in references/: abstractions, comments, complexity, consistency, contracts, correctness, data-integrity, error-handling, interfaces, logs, modularity, naming, necessity, performance, reliability, security, tests, ux.
Examples: /audit modularity, /audit contracts security src/auth, /audit necessity, /audit full, /audit ux /settings.
What ships with it
20 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 43 B
- references/abstractions.md 1.5 KB
- references/comments.md 2.3 KB
- references/complexity.md 2.5 KB
- references/consistency.md 1.2 KB
- references/contracts.md 1.9 KB
- references/correctness.md 1.8 KB
- references/data-integrity.md 2.2 KB
- references/error-handling.md 2.7 KB
- references/interfaces.md 2.2 KB
- references/logs.md 1.5 KB
- references/modularity.md 3.9 KB
- references/naming.md 1.2 KB
- references/necessity.md 1.8 KB
- references/performance.md 2.9 KB
- references/reliability.md 2.0 KB
- references/security.md 2.5 KB
- references/tests.md 1.9 KB
- references/ux.md 1.8 KB
- references/workflow.md 3.0 KB
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.
- 2d ago Changed 5d3bc30f309e
- 9d ago Changed · +2 lines · -4 tokens per session 9670edc792db
- 1mo ago Changed · -1 lines · -56 tokens per session d2bf00711334
- 1mo ago First seen · 12 lines · 75 tokens per session scan A 8a306478a0b6
audit is a skill published in the GitHub repository JHostalek/dotclaude (11 stars, last pushed 3d ago), licensed CC0-1.0. It adds 15 tokens to every session and 160 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 2026-08-31.
Other skills, from other repositories
make-pr-easy-to-review
Prepare PRs for review by cleaning noisy history, improving PR descriptions, and adding reviewer guidance without changing code behavior. Use for "make this easy to review", "tidy this PR", "clean up commits", or "annotate the diff".
thermo-nuclear-code-quality-review
Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.
thermo-nuclear-review
Comprehensive security and correctness audit of a branch's changes. Use for thermo nuclear, thermonuclear, or deep review requests, or branch/PR diff audits focused on bugs, breaking changes, security issues, devex regressions, and feature-gate leaks.
blast-radius
Find what a change could break somewhere else before it ships, beyond the diff, and prove the one fact it's safe because of by running real code instead of writing it up. Use for 'blast radius of X', 'what could this break', reviewing a small diff you don't trust, or a brief that asserts something about existing code…
no-comments
Spawn the comment-sicko subagent, fix accepted findings, and offer encodings for claimed constraints.
memstack-development-code-reviewer
Use this skill when the user says 'review code', 'code review', 'check my code', 'audit this', 'review PR', 'review changes', 'what's wrong with this', or is requesting a structured review of code quality, security, performance, or maintainability. Do NOT use for refactoring plans or test generation.