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/skill-compassgit 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 | $0.01441 |
| Opus 5 | $0.00000 | $0.00720 |
| Sonnet 5 | $0.00000 | $0.00288 |
| Haiku 4.5 | $0.00000 | $0.00144 |
Grade A, and why
skill-compass 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/skillcompass — Natural Language Dispatcher
This command accepts free-form natural language and routes to the appropriate SkillCompass command. Also accessible as /skill-compass.
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
<message>(required): Natural language description of what the user wants to do.
Step 0: Setup-State Check
Before dispatching, check whether .skill-compass/setup-state.json exists.
- If NOT exist: inform the user and guide to
/inbox(which auto-initializes):- "SkillCompass is not set up yet. Type /inbox to get started."
- If exists: proceed to Step 1.
Step 1: Skill Name Detection
Before keyword matching, check if the user's message contains a known skill name.
Read .skill-compass/setup-state.json → inventory array. Build a list of all skill names (including collection children's qualified names like superpowers:writing-plans).
Scan the user's message for any exact match against this list. If a known skill name is found, extract it as target_skill and proceed to intent inference.
Semantic intents — accept equivalent natural-language input in any language (match by meaning, not literal keyword):
| Intent | Inferred route | Notes |
|---|---|---|
| evaluate, check quality, assess, score | eval-skill target_skill |
Evaluate the skill |
| improve, optimize, fix, upgrade | eval-improve target_skill |
Improve the skill |
| remove, delete, drop, discard | skill-inbox (locate target_skill) |
Guide to deletion |
| mute, stop tracking, ignore | skill-inbox (mute target_skill) |
Mark as muted |
| rollback, revert, restore | eval-rollback target_skill |
Roll back version |
| security, vulnerability scan | eval-security target_skill |
Security scan |
| compare, diff versions | eval-compare target_skill |
Version comparison |
| update, check for new version | skill-update target_skill |
Check skill for updates |
| (no action verb, name only) | skill-inbox (show target_skill details) |
Show details + action options |
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.
- 3d ago First seen · 100 lines · 0 tokens per session scan A e6913cbe3e6b
skill-compass 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 1,441 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
thread
Manage conversation threads (create, switch, update, delete, show).
audit_docs
Audit all project metadata files for stale counts, version mismatches, broken references, and missing entries. Reports discrepancies without auto-fixing.
pr
Create a feature branch, commit staged/unstaged changes, push, and open a GitHub PR against main — use when you have local changes not yet on any branch and want a reviewable PR. Distinct from /ship (commit + push to current branch, no PR) and /fixpr (resolve conflicts or run quality gates on an existing PR).
compile_paper
Convert a SWARM paper from markdown to LaTeX (if needed), compile to PDF, and open it.
submit_to_list
Fork an external GitHub repo, add an entry to a curated list (e.g. awesome-), and open a PR — all via gh CLI.
add_scenario
Scaffold a new YAML scenario config with SWARM conventions — use when testing a new governance configuration or agent motif that uses existing domain infrastructure. Distinct from /adddomain (new task category requiring new data models and handlers) and /addmetric (new measurement on existing data).