Skill Analytics

Monitor ClawHub skill performance with file-based state tracking. Fetches public stats via web_fetch, tracks recommendations and their outcomes, avoids repet...

Security Scan

Instruction-only analytics skill that fetches public ClawHub data and stores state in memory/skill-analytics; its requirements and instructions are coherent with the stated purpose.

Purpose & Capability

Name/description match the instructions: the skill fetches public ClawHub stats (web_fetch, web_search) and keeps local, file-based state. It declares no credentials or unrelated tools, which is appropriate for its monitoring purpose.

Instruction Scope

Runtime instructions restrict reads/writes to memory/skill-analytics and explicitly forbid accessing other workspace files or credentials. It only instructs use of built-in web_fetch/web_search for public data and to create/update local state files — scope is consistent with the stated goal.

Install Mechanism

No install spec and no code files — instruction-only skill. Nothing is downloaded or written by an installer, minimizing disk/exec risk.

Credentials

No environment variables, credentials, or config paths are requested. The skill's stated external access (public web_fetch/web_search) is proportional to its purpose.

Persistence & Privilege

Does not request always:true, runs only when invoked/autonomously per platform defaults, and only writes under its own memory path. It declares it will not modify other skills or global configs.

Assessment

This skill is instruction-only and appears to do what it says: pull public ClawHub metrics and keep local state in memory/skill-analytics. Before installing, consider: (1) inspect the created memory/skill-analytics files after a run to ensure only expected data is stored; (2) remember the skill can perform web_fetch/web_search — it can access the public web but requests no secrets; (3) if you want extra caution, run it in an environment with limited access to sensitive files so accidental reads (if the agent ignored its own guidelines) cannot occur.

Skill Analytics v2.0

Install: clawhub install skill-analytics

ClawHub skill portfolio monitoring with state tracking. Remembers what it recommended.

Language

Detect from user's message language. Default: English.

State Files

All state stored in memory/skill-analytics/:

File	Purpose
state.json	Rotation day, last run, recommendation IDs
recommendations.md	Active recommendations with status
ideas-tried.md	Topics already covered (avoid repeats)

Create directory and files on first run if they don't exist.

Day-of-Week Rotation

Use day-of-week (Monday=1, Sunday=7) from state.json (not current calendar day — track continuously):

Day	Focus
1	Adoption Funnel
2	Competitive Analysis
3	Content & Copy
4	Feature Gap
5	Monetization
6	Cross-Promotion
7	Wildcard

After each run: increment day in state.json, wrap at 7.

Anti-Repetition Protocol

Before generating recommendations:

1. Read memory/skill-analytics/recommendations.md
2. Read memory/skill-analytics/ideas-tried.md
3. Skip any recommendation already listed as "Pending" or already tried
4. Only generate NEW recommendations
5. If no new insights exist: say "No new recommendations this run. Previous {N} are still pending."

Recommendation Format

| # | Recommendation | Date | Status | Result |
|---|---------------|------|--------|--------|
| 1 | **Short title** — one-line action | YYYY-MM-DD | Pending | - |

After user marks as done: change Status to "✅ Completed" with Result.

Data Collection

Use built-in tools only (web_fetch, web_search):

web_fetch https://clawhub.ai/tommot2/{slug}
web_search "clawhub {skill category}"

Extract: downloads, installs, stars, version count.

No CLI tools, no npm packages, no credentials.

Output Format

## 📊 Skill Analytics — {date}

### Dashboard
| Skill | DL | ⭐ | Versions |
|-------|---:|:--:|:--------:|
| ... | ... | ... | ... |

### Focus: {day focus}
{2-3 paragraphs of actual analysis. Concrete numbers.}

### New Recommendations
1. **{title}** — {one-line action}
   - Effekt: {estimated}
   - Innsats: {Lav/Middels/Høy}

### Previous Status
- Pending: {N} recommendations
- Completed: {N} recommendations
- Skipped (repeats): {N}

### Next Run
Focus: Day {N+1} — {focus}

Phase Indicator

Based on total installs across portfolio:

Phase	Installs	Focus
🌱 Seed	0-10	Visibility
🌿 Grow	10-100	Conversion
🌳 Scale	100-1000	Monetization
🏢 Sustain	1000+	Retention

Quick Commands

User says	Action
"skill stats"	Quick dashboard
"skill analytics"	Full analysis
"fulført #3"	Mark recommendation #3 as completed
"alle anbefalinger"	Show all with status

Guidelines for Agent

1. Always read state before running — check recommendations and ideas-tried
2. Write state after running — update state.json, add new recommendations
3. Never repeat — check ideas-tried.md before suggesting
4. Use built-in tools only — web_fetch and web_search
5. No personal data in searches — only public ClawHub data
6. Keep output concise — max 40 lines per report
7. Language follows user

What This Skill Does NOT Do

• Does NOT read MEMORY.md, SOUL.md, or other workspace files
• Does NOT access credentials or private data
• Does NOT use external CLI tools or npm packages
• Does NOT modify any files outside memory/skill-analytics/

More by TommoT2

• context-brief — Persistent context survival across sessions
• setup-doctor — Diagnose and fix OpenClaw setup issues
• tommo-skill-guard — Security scanner for installed skills

Install the full suite:

clawhub install skill-analytics context-brief setup-doctor tommo-skill-guard