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/stefan-jansen/claude-code-toolkit/auditgit clone --depth 1 https://github.com/stefan-jansen/claude-code-toolkitWhat 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 | $0.00006 | $0.01193 |
| Opus 5 | $0.00003 | $0.00596 |
| Sonnet 5 | $0.00001 | $0.00239 |
| Haiku 4.5 | $0.00001 | $0.00119 |
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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Framework Infrastructure Audit
Validates Claude Code framework setup, tool installation, and infrastructure compliance.
Input: $ARGUMENTS
Usage
/audit # Full infrastructure audit
/audit --framework # Focus on framework setup only
/audit --tools # Focus on tool installation
/audit --fix # Apply fixes for detected issues
Phase 1: Framework Setup Validation
Directory Structure Audit
- Verify
.claude/directory exists and has proper structure - Check for required subdirectories:
work/,memory/,reference/ - Validate permissions on framework directories
- Ensure proper gitignore entries for sensitive files
Configuration Validation
- Check
settings.jsonexists and has valid syntax - Validate hook configurations if present
- Verify tool permissions are properly configured
- Ensure CLAUDE.md hierarchy is properly structured
Memory System Health
- Verify memory files are not corrupted
- Check import links are valid (no broken @references)
- Validate memory file sizes are within limits
- Ensure session memory is properly rotated
Phase 2: Tool Installation Audit
Core Dependencies
- Git: Version check, configuration validation
- Python Tools: ruff, black, mypy, pytest availability
- JavaScript Tools: eslint, prettier, jest (if applicable)
- System Tools: jq, flock, timeout, mktemp
Git Configuration
- Verify
git safe-commitalias is configured - Check user name and email are set
- Validate pre-commit hooks are installed
- Ensure conventional commit format is enforced
Language-Specific Tools
- Python Projects: Check pyproject.toml, requirements.txt
- JavaScript Projects: Validate package.json, node_modules
- Go Projects: Verify go.mod, tool installations
- Rust Projects: Check Cargo.toml, rust toolchain
Phase 3: Quality Infrastructure Audit
Code Quality Tools
- Verify linting tools are properly configured
- Check formatting tools work correctly
- Validate type checking is enabled where appropriate
- Ensure test runners are properly set up
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.
- yesterday First seen · 175 lines · 6 tokens per session scan A 16f51388a4f3
audit is a command published in the GitHub repository stefan-jansen/claude-code-toolkit (85 stars, last pushed 1mo ago), licensed MIT. It adds 6 tokens to every session and 1,193 once invoked, about $0.0000 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.
Other commands, from other repositories
remember
Save something to agent memory - picks project or user scope automatically from context.
disambiguate-plan
Thorough collaborative planning with iterative disambiguation - resolves all ambiguity before planning.
pr-review
Review a GitHub pull request: analyzes changed files to select relevant reviewers, loads project and user memory, runs reviewers in parallel, lets the user pick which findings to post, then submits the review on behalf of the user via gh CLI.
dataviz
Define chart types, color encoding, and data display conventions.
ship
Pre-launch gate — six-domain checklist before any production deployment.
build
Implement the next ready task from .forge/tasks.yaml using TDD discipline.