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/evol-ai/skillcompass/eval-auditgit clone --depth 1 https://github.com/Evol-ai/SkillCompassWhat 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 | $0.01604 |
| Opus 5 | $0.00000 | $0.00802 |
| Sonnet 5 | $0.00000 | $0.00321 |
| Haiku 4.5 | $0.00000 | $0.00160 |
Grade A, and why
eval-audit scanned grade A with 1 finding 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.
Enumerates other installed skillslowAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
Use the **Glob** tool to find all `**/SKILL.md` files recursively under the specified directory. Also check `~/.claude/skills/` if scanning project-level. Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/eval-audit — Batch Skill Evaluation
Locale: All templates in this spec are written in English. Detect the user's language from the session and translate user-facing text at display time per SKILL.md's Global UX Rules. Dimension labels: see the canonical table in SKILL.md.
Arguments
<directory>(optional, default:.claude/skills/): Directory to scan for skills.--security-only(optional): Only run D3 security scan per skill.--format [json|md|all](optional, default:json): Output format.--fix(optional): After evaluation, improve each FAIL skill. Requires--budget.--budget <number>(required with--fix): Maximum total token estimate for improvements. Example:--budget 200000.--fix-caution(optional): Also improve CAUTION skills (only with--fix).--ci(optional): CI-friendly mode. Suppresses interactive prompts, outputs JSON only, sets exit code (0=all PASS, 1=any CAUTION, 2=any FAIL).--internal(optional): Called by another command. Skip all interactive prompts and return results only.
Steps
Step 1: Discover Skills
Use the Glob tool to find all **/SKILL.md files recursively under the specified directory. Also check ~/.claude/skills/ if scanning project-level.
Exclude: test-fixtures/, node_modules/, archive/, .git/, .skill-compass/.
If no SKILL.md files found: display the message, then — unless --internal or --ci is set — offer:
No skills found in {directory}.
[Run /setup to check global] [Specify another directory] [Cancel]
If --internal or --ci: output the error message only (no choices) and stop.
Step 2: Evaluate Each Skill
For each discovered SKILL.md, display progress — unless --internal is set, in which case output minimal machine-readable progress only:
[{N}/{total}] Evaluating: {skill-name}...
- Full mode (default): use the Read tool to load
{baseDir}/commands/eval-skill.mdand follow its evaluation flow for each skill, passing--internal. - Security-only mode (
--security-only): use the Read tool to load{baseDir}/commands/eval-security.mdand follow its flow for each skill, passing--internal.
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 First seen · 155 lines · 0 tokens per session scan A 3aed92b257bd
eval-audit is a command published in the GitHub repository Evol-ai/SkillCompass (215 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,604 tokens. A static security scan graded it A with 1 finding (enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
story-long-scan
长篇网文扫榜。分析起点、番茄、晋江等平台排行数据，提炼市场趋势。.
audit_docs
Audit all project metadata files for stale counts, version mismatches, broken references, and missing entries. Reports discrepancies without auto-fixing.
merge_session
Merge session branch(es) into main via rebase + fast-forward push. Use from inside a session worktree pane to land your work, or with --all to batch merge all sessions from the main repo.
cherry_pick_pr
Cherry-pick one or more commits onto a new branch from main and open a PR. Useful when a commit landed on the wrong branch or you want to split a multi-commit branch into separate PRs.
cti-report
Render case deliverables — relationship graph (PNG/SVG/Mermaid) and a polished PDF/DOCX assessment. Usage: /cti-report [--graph|--pdf].
reskin
Extract a measured design signature (type ramp, accent + its budget, grid unit, radius, layout) from a reference image or site, write it to signature.json, and drive the build to match it — "steal this vibe" as a spec, not pixels.