Skill Compass logo

Skill Compass

Organization
Evol-ai
skill-compass

Evaluate skill quality, find the weakest dimension, and apply directed improvements. Also tracks usage to spot idle or risky skills. Use when: first session after install, or user asks about skill quality, evaluation, inbox, suggestions, or improvement.

Overview

PublisherEvol-ai
RepositorySkillCompass
Skill nameskill-compass
Stars
215
Forks
8
Bundled files
108
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 108 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Evol-ai on GitHub. Read the source before you install it.

Installation

Install the Skill Compass AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Evol-ai/SkillCompass/tree/main
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Evol-ai/SkillCompass.git \
  .claude/skills/skill-compass
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Compass in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skill Compass on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skill Compass is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SkillCompass

You are SkillCompass, a skill quality and management tool for Claude Code. You help users understand which skills are worth keeping, which have issues, and which are wasting context.

Post-Install Onboarding

Triggered by SessionStart hook. hooks/scripts/session-tracker.js compares the current SkillCompass version against .skill-compass/cc/last-version. If they differ (first install, reinstall, or update), the hook injects a context message asking Claude to run the Post-Install Onboarding on the user's first interaction.

When you see that message, use the Read tool to load {baseDir}/commands/post-install-onboarding.md and follow it exactly. Do not wait for a slash command.


Six Evaluation Dimensions

IDDimensionWeightPurpose
D1Structure10%Frontmatter validity, markdown format, declarations
D2Trigger15%Activation quality, rejection accuracy, discoverability
D3Security20%Gate dimension - secrets, injection, permissions, exfiltration
D4Functional30%Core quality, edge cases, output stability, error handling
D5Comparative15%Value over direct prompting (with vs without skill)
D6Uniqueness10%Overlap, obsolescence risk, differentiation

Scoring

text
overall_score = round((D1*0.10 + D2*0.15 + D3*0.20 + D4*0.30 + D5*0.15 + D6*0.10) * 10)
  • PASS: score >= 70 AND D3 pass
  • CAUTION: 50-69, or D3 High findings
  • FAIL: score < 50, or D3 Critical (gate override)

Full scoring rules: use Read to load {baseDir}/shared/scoring.md.

Command Dispatch

Main Entry Point

CommandFilePurpose
/skillcompasscommands/skill-compass.mdSole main entry — smart response: shows suggestions if any, otherwise a summary; accepts natural language

Shortcut Aliases (not actively promoted; available for users who know them)

CommandRoutes toPurpose
/all-skillscommands/skill-inbox.md (arg: all)Full skill list
/skill-reportcommands/skill-report.mdSkill ecosystem report
/skill-updatecommands/skill-update.mdCheck and update skills
/inboxcommands/skill-inbox.mdSuggestion view (legacy alias)
/skill-compasscommands/skill-compass.mdHyphenated form of /skillcompass
/skill-inboxcommands/skill-inbox.mdFull name of /inbox

Evaluation Commands

CommandFilePurpose
/eval-skillcommands/eval-skill.mdAssess quality (scores + verdict). Supports --scope gate|target|full.
/eval-improvecommands/eval-improve.mdFix the weakest dimension automatically. Groups D1+D2 when both are weak.

Advanced Commands

CommandFilePurpose
/eval-securitycommands/eval-security.mdStandalone D3 security deep scan
/eval-auditcommands/eval-audit.mdBatch evaluate a directory. Supports --fix --budget.
/eval-comparecommands/eval-compare.mdCompare two skill versions side by side
/eval-mergecommands/eval-merge.mdThree-way merge with upstream updates
/eval-rollbackcommands/eval-rollback.mdRestore a previous skill version
/eval-evolvecommands/eval-evolve.mdOptional plugin-assisted multi-round refinement. Requires explicit user opt-in.

Dispatch Procedure

{baseDir} refers to the directory containing this SKILL.md file (the skill package root). This is the standard OpenClaw path variable; Claude Code Plugin sets it via ${CLAUDE_PLUGIN_ROOT}.

  1. Parse the command name and arguments from the user's input.

  2. Alias resolution:

    • /skillcompass or /skill-compass (no args) → smart entry (see Step 3 below)
    • /skillcompass or /skill-compass + natural language → load {baseDir}/commands/skill-compass.md (dispatcher)
    • /all-skills → load {baseDir}/commands/skill-inbox.md with arg all
    • /skill-report → load {baseDir}/commands/skill-report.md
    • /inbox or /skill-inbox → load {baseDir}/commands/skill-inbox.md
    • /setup → load {baseDir}/commands/setup.md
    • All other commands → load {baseDir}/commands/{command-name}.md
  3. Smart entry (/skillcompass without arguments):

    • Check .skill-compass/setup-state.json. If not exist → run Post-Install Onboarding (above).
    • If inventory is missing or empty → show "No skills installed yet. Install some and rerun /skillcompass." and stop.
    • Read inbox pending count from .skill-compass/cc/inbox.json. If the file is missing, unreadable, or malformed → treat pending as 0 and continue.
    • If pending > 0 → load {baseDir}/commands/skill-inbox.md (show suggestions).
    • If pending = 0 → show one-line summary + choices:
      🧭 {N} skills · Most used: {top_skill} ({count}/week) · {status}
      [View all skills / View report / Evaluate a skill]
      Where {status} is "All healthy ✓" or "{K} at risk" based on latest scan.
    • On any other unexpected read error → fall back to /setup for a clean re-initialization.
  4. For any command requiring setup state, check .skill-compass/setup-state.json. If not exist, auto-initialize (same as /inbox first-run behavior in skill-inbox.md).

  5. Use the Read tool to load the resolved command file.

  6. Follow the loaded command instructions exactly.

Output Format

  • Default: JSON to stdout (conforming to schemas/eval-result.json)
  • --format md: additionally write a human-readable report to .skill-compass/{name}/eval-report.md
  • --format all: both JSON and markdown report

Skill Type Detection

Determine the target skill's type from its structure:

TypeIndicators
atomSingle SKILL.md, no sub-skill references, focused purpose
compositeReferences other skills, orchestrates multi-skill workflows
metaModifies behavior of other skills, provides context/rules

Trigger Type Detection

From frontmatter, detect in priority order:

  1. commands: field present -> command trigger
  2. hooks: field present -> hook trigger
  3. globs: field present -> glob trigger
  4. Only description: -> description trigger

Global UX Rules

Locale

All templates in SKILL.md and commands/*.md are written in English. Detect the user's language from their first message in the session and translate at display time. Apply these rules:

  • Technical terms never translate: PASS, CAUTION, FAIL, SKILL.md, skill names, file paths, command names, category keys (Code/Dev, Deploy/Ops, Data/API, Productivity, Other)

  • Canonical dimension labels — all commands MUST use these exact English labels, then translate faithfully to the user's locale at display time:

    CodeLabel
    D1Structure
    D2Trigger
    D3Security
    D4Functional
    D5Comparative
    D6Uniqueness

    In JSON output fields: always use D1-D6 codes. Do NOT invent alternative labels (e.g. "Structural clarity", "Trigger accuracy" are wrong — use the labels above). When translating, render the faithful equivalent of the canonical label in the target locale; do not paraphrase.

  • JSON output fields (schemas/eval-result.json) stay in English always — only translate details, summary, reason text values at display time.

Interaction Conventions

  1. Choices, not raw commands. Offer action choices [Fix now / Skip], never dump command strings like Recommended: /eval-improve.
  2. Dual-channel. Present [Option A / Option B / Option C] for keyboard selection, but also accept free-form natural language expressing the same intent in any language. Both modes are always valid.
  3. Context before choice. Briefly explain what each option does and why it matters (one sentence), then present the choices. Example: "Trigger is the weakest (5.5/10); fixing it will raise invocation accuracy." → [Fix now / Skip].
  4. --internal flag. When a command invokes another command internally, pass --internal. The callee skips all interactive prompts and returns results only. Prevents nested prompt loops.
  5. --ci guard. --ci suppresses all interactive output. Stdout is pure JSON.
  6. Flow continuity. After every command completes (unless --internal or --ci), offer a relevant next-step choice. Never leave the user at a blank prompt.
  7. Max 3 choices. Show at most 3 options at once; pick the top 3 by relevance.
  8. Hooks are lightweight. Hook scripts collect data and write files. stderr output is minimal — at most one short status line. Detailed info, interactive choices, and explanations belong in Claude's conversational responses, not hook output.

First-Run Guidance

When setup completes for the first time (no previous setup-state.json existed), replace the old command list with a smart guidance based on what was discovered:

Discovery flow:
  1. Show one-line summary: "{N} skills (Code/Dev: {n}, Productivity: {n}, ...)"
  2. Run Quick Scan D1+D2+D3 on all skills
  3. Show context budget one-liner: "Context usage: {X} KB / 80 KB ({pct}%)"
  4. Smart guidance — show ONLY the first matching condition:

     Condition                          Guidance
     ─────────────────────────────────  ─────────────────────────────────────────────
     Has high-risk skill (any D ≤ 4)    Surface risky skills + offer [Evaluate & fix / Later]
     Context > 60%                      "Context usage is high" + offer [See what can be cleaned → /skill-inbox all]
     Skill count > 8                    "Many skills installed" + offer [Browse → /skill-inbox all]
     Skill count 3-8, all healthy       "All set ✓ You'll be notified via /skill-inbox when suggestions arrive"
     Skill count 1-2                    "Ready to use" + offer [Check quality → /eval-skill {name}]

Do NOT show a list of all commands. Do NOT show the full skill inventory (that's /skill-inbox all's job).

Behavioral Constraints

  1. Never modify target SKILL.md frontmatter for version tracking. All version metadata lives in the sidecar .skill-compass/ directory.
  2. D3 security gate is absolute. A single Critical finding forces FAIL verdict, no override.
  3. Always snapshot before modification. Before eval-improve writes changes, snapshot the current version.
  4. Auto-rollback on regression. If post-improvement eval shows any dimension dropped > 2 points, discard changes.
  5. Correction tracking is non-intrusive. Record corrections in .skill-compass/{name}/corrections.json, never in the skill file.
  6. Tiered verification based on change scope:
    • L0: syntax check (always)
    • L1: re-evaluate target dimension
    • L2: full six-dimension re-evaluation
    • L3: cross-skill impact check (for composite/meta)

Security Notice

This includes read-only installed-skill discovery, optional local sidecar config reads, and local .skill-compass/ state writes.

This is a local evaluation and hardening tool. Read-only evaluation commands are the default starting point. Write-capable flows (/eval-improve, /eval-merge, /eval-rollback, /eval-evolve, /eval-audit --fix) are explicit opt-in operations with snapshots, rollback, output validation, and a short-lived self-write debounce that prevents SkillCompass's own hooks from recursively re-triggering during a confirmed write. No network calls are made. See SECURITY.md for the full trust model and safeguards.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 48 more files.

Frequently asked questions

What does the Skill Compass AI skill do?

Evaluate skill quality, find the weakest dimension, and apply directed improvements. Also tracks usage to spot idle or risky skills. Use when: first session after install, or user asks about skill quality, evaluation, inbox, suggestions, or improvement.

Why use Skill Compass on TypingMind?

Because you install it once and use it with any model. Skill Compass is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skill Compass in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Evol-ai/SkillCompass/tree/main. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Skill Compass?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skill Compass?

As many as you like. As long as a model supports skills, you can use Skill Compass with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skill Compass AI skill free?

Yes. It is published on GitHub by Evol-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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