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Evaluate skill quality, find the weakest dimension, and apply directed improvements. Also tracks usage to spot idle or risky skills. Use when: first session...
---
name: skill-compass
version: 1.1.0
description: >
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.
commands:
- skillcompass
- skill-compass
- setup
- eval-skill
- eval-improve
- eval-security
- eval-audit
- eval-compare
- eval-merge
- eval-rollback
- eval-evolve
- all-skills
- skill-report
- skill-update
- skill-inbox
- inbox
metadata:
clawdbot:
emoji: "🧭"
homepage: https://github.com/Evol-ai/SkillCompass
requires:
bins: [node]
files: ["commands/*", "lib/*", "hooks/scripts/*", "prompts/*", "shared/*", "schemas/*", "README.md", "SECURITY.md", ".claude-plugin/*"]
type: executable
---
# 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.** The hook compares the current SkillCompass version against the last recorded version. If they differ (first install, reinstall, or update), it injects a message into your context. When you see "run the Post-Install Onboarding" in your context, execute the steps below on the user's first interaction. Do not wait for a command.
### Step 1: Introduce
```
🧭 SkillCompass
评测 skill 质量，找到最薄弱的环节，定向改进。
同时追踪使用情况，帮你发现闲置或有风险的 skill。
```
EN: "Evaluate skill quality, find the weakest area, and improve it. Also tracks usage to help you spot idle or risky skills."
### Step 2: Quick Scan (automatic, no permission needed)
Silently run skill discovery (scan immediate children `*/SKILL.md` in each skill root — same as `/setup` Step 3, do NOT recurse) and D1+D2+D3 quick scan on all discovered skills. Save `setup-state.json`. Then show results:
If issues found:
```
正在扫描已安装的 skill...
发现 {N} 个 skill{，包括 M 个集合 if any}。
{K} 个有安全或结构风险，其余通过快检 ✓
[查看有风险的 skill / 继续]
```
If all clean:
```
正在扫描已安装的 skill...
发现 {N} 个 skill{，包括 M 个集合 if any}，全部通过快检 ✓
[继续]
```
### Step 3: StatusLine Configuration
Check if `~/.claude/settings.json` already has a `statusLine` configured.
If NO existing statusLine:
```
SkillCompass 会自动追踪 skill 使用情况。
有建议时，底部会显示 🧭 N pending，输入 /skillcompass 查看。
[启用底部提示 🧭 / 跳过]
```
If user chooses 启用, offer two modes:
```
[极简模式 — 仅 🧭 提示 / 完整 HUD — 含模型、上下文等信息]
```
- **极简模式**: Write statusLine config to `~/.claude/settings.json` pointing to `scripts/hud-extra.js`
- **完整 HUD**: Check for claude-hud, configure `--extra-cmd`, or fall back to 极简
- **跳过**: Do nothing
If YES existing statusLine: skip silently.
### Step 4: Finish
```
✓ 设置完成。SkillCompass 在后台工作：
· 追踪 skill 使用频率
· 发现闲置或有问题的 skill
· 有建议时底部 🧭 提示
随时输入 /skillcompass 查看和管理。
```
After displaying the finish message, write the current version to the version tracking file so the onboarding won't trigger again next session:
```bash
node -e "
const fs = require('fs');
const path = require('path');
const baseDir = process.env.CLAUDE_PLUGIN_ROOT || '.';
const vFile = path.join(baseDir, '.skill-compass', 'cc', 'last-version');
const pkg = JSON.parse(fs.readFileSync(path.join(baseDir, 'package.json'), 'utf-8'));
fs.mkdirSync(path.dirname(vFile), { recursive: true });
fs.writeFileSync(vFile, pkg.version);
"
```
**After onboarding, do NOT show the inbox view. The user was not asking for inbox — they were just starting a session. Return control to whatever the user intended to do.**
---
## Six Evaluation Dimensions
| ID | Dimension | Weight | Purpose |
|----|-------------|--------|---------|
| D1 | Structure | 10% | Frontmatter validity, markdown format, declarations |
| D2 | Trigger | 15% | Activation quality, rejection accuracy, discoverability |
| D3 | Security | 20% | **Gate dimension** - secrets, injection, permissions, exfiltration |
| D4 | Functional | 30% | Core quality, edge cases, output stability, error handling |
| D5 | Comparative | 15% | Value over direct prompting (with vs without skill) |
| D6 | Uniqueness | 10% | 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
| Command | File | Purpose |
|---------|------|---------|
| **/skillcompass** | `commands/skill-compass.md` | **唯一主入口** — 智能响应：有建议时展示建议，无建议时展示摘要，支持自然语言 |
### Shortcut Aliases（不主动推广，知道的人可用）
| Command | Routes to | Purpose |
|---------|-----------|---------|
| /all-skills | `commands/skill-inbox.md` (arg: all) | 全部 skill 列表 |
| /skill-report | `commands/skill-report.md` | Skill 生态报告 |
| /skill-update | `commands/skill-update.md` | 检查和更新 skill |
| /inbox | `commands/skill-inbox.md` | 建议视图（历史别名） |
| /skill-compass | `commands/skill-compass.md` | /skillcompass 的连字符版本 |
| /skill-inbox | `commands/skill-inbox.md` | /inbox 的完整名称 |
### Evaluation Commands
| Command | File | Purpose |
|---------|------|---------|
| /eval-skill | `commands/eval-skill.md` | Assess quality (scores + verdict). Supports `--scope gate\|target\|full`. |
| /eval-improve | `commands/eval-improve.md` | Fix the weakest dimension automatically. Groups D1+D2 when both are weak. |
### Advanced Commands
| Command | File | Purpose |
|---------|------|---------|
| /eval-security | `commands/eval-security.md` | Standalone D3 security deep scan |
| /eval-audit | `commands/eval-audit.md` | Batch evaluate a directory. Supports `--fix --budget`. |
| /eval-compare | `commands/eval-compare.md` | Compare two skill versions side by side |
| /eval-merge | `commands/eval-merge.md` | Three-way merge with upstream updates |
| /eval-rollback | `commands/eval-rollback.md` | Restore a previous skill version |
| /eval-evolve | `commands/eval-evolve.md` | Optional 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).
- Read inbox pending count from `.skill-compass/cc/inbox.json`.
- If pending > 0 → load `{baseDir}/commands/skill-inbox.md` (show suggestions).
- If pending = 0 → show one-line summary + choices:
```
🧭 {N} 个 skill · 最常用 {top_skill}({count}次/周) · {status}
[查看全部 skill / 查看报告 / 评测某个 skill]
```
Where `{status}` is "全部健康 ✓" or "{K} 个有风险" based on latest scan.
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:
| Type | Indicators |
|------|-----------|
| atom | Single SKILL.md, no sub-skill references, focused purpose |
| composite | References other skills, orchestrates multi-skill workflows |
| meta | Modifies 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
Detect the user's language from their first message in the session. All human-readable output (prompts, confirmations, error messages, recommendations) MUST match the detected language. Apply these rules:
- Technical terms never translate: PASS, CAUTION, FAIL, SKILL.md, skill names, file paths
- **Dimension label mapping** (canonical, all commands MUST reference this table):
| Code | 中文 | English |
|------|------|---------|
| D1 | 结构 | Structure |
| D2 | 触发 | Trigger |
| D3 | 安全 | Security |
| D4 | 功能 | Functional |
| D5 | 比较 | Comparative |
| D6 | 独特 | Uniqueness |
In user-facing text: use `{中文名}` for Chinese locale, `{English名}` for English locale.
In JSON output fields: always use `D1`-`D6` codes.
Do NOT invent alternative labels (e.g. "功能清晰度", "触发精准度" are wrong — use the table above).
- JSON output fields (`schemas/eval-result.json`) stay in English always — only translate `details`, `summary`, `reason` text values
- Category labels translate: Code/Dev→代码/开发, Deploy/Ops→部署/运维, Data/API→数据/接口, Productivity→效率工具, Other→其他
### Interaction Conventions
All commands follow these interaction rules:
1. **Choices, not commands.** Never show raw command strings as recommendations. Instead offer action choices the user can select:
- YES: `[立即修复 / 跳过]` or `[Fix now / Skip]`
- NO: ~~`Recommended: /eval-improve`~~
2. **Dual-channel interaction.** Support both structured choices AND natural language simultaneously:
- Provide `[选项A / 选项B / 选项C]` format for keyboard navigation (up/down keys to select)
- Also accept free-form text expressing the same intent (e.g. user types "帮我修一下" instead of selecting "立即修复")
- Never force either mode — both are always valid
3. **Context in choices.** Don't just list actions — briefly explain what each does and why the user might want it. Example:
- YES: "最薄弱的是触发机制（5.5/10），优化后 skill 被正确调用的概率会提高。" then `[立即修复 / 跳过]`
- NO: `[立即修复 / 跳过]`（无上下文）
4. **`--internal` flag.** When a command is called by another command (e.g. eval-improve calls eval-skill internally), pass `--internal`. Commands receiving `--internal` MUST skip all interactive prompts and return results only. This prevents nested prompt loops.
5. **`--ci` guard.** All interactive choices are skipped when `--ci` is present. Output is pure JSON to stdout.
6. **Flow continuity.** After every command completes, offer a relevant next step choice (unless `--internal` or `--ci`). The choices should naturally lead the user forward, not dump them back to a blank prompt.
7. **Max 3 choices.** Never show more than 3 options at once. If more exist, show the top 3 by relevance.
8. **Hooks are lightweight.** Hook scripts (PostToolUse, SessionStart, PreCompact, etc.) primarily do data collection and write to files (usage.jsonl, inbox.json). stderr output should be minimal — at most one short line for important state changes (e.g. "3 条新建议已生成"). Detailed information, interactive choices, and explanations belong in Claude's conversational responses, not in 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} 个 skill（Code/Dev: {n}, Productivity: {n}, ...）"
2. Run Quick Scan D1+D2+D3 on all skills
3. Show context budget one-liner: "上下文占用 {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 [评测修复 / 稍后处理]
Context > 60% "上下文使用较高" + offer [查看哪些可清理 → /skill-inbox all]
Skill count > 8 "skill 较多" + offer [浏览整理 → /skill-inbox all]
Skill count 3-8, all healthy "一切就绪 ✓ 有建议时通过 /skill-inbox 通知"
Skill count 1-2 "可直接使用" + offer [了解质量 → /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](SECURITY.md)** for the full trust model and safeguards.
don't have the plugin yet? install it then click "run inline in claude" again.