Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Comparison matrix
Highlights show current best; tooltip explains diff/best rules.
Score-basis diff rules / risk tag notes
Start with the matrix. Open this section when you need to understand audit grades, top threats, control gaps, and best-value highlights.
Suggested baseline
Repository: openclaw/skills
Author: grantmacnamara · Source status: Clear source
Run a Mopidy music system in party mode for shared or group chats, where everyone can contribute songs but only the host can control playback.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
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How differences are detected
A row is marked different when selected skills have distinct values. Only-differences mode hides rows that are identical.
How best values are highlighted
Pre-install score, evidence completeness, and community signal prefer higher values; execution risk and install friction prefer lower values.
How to read risk tags
Risk tags come from SAS-v2.1 public-evidence signals and point to command, network, secret, context, or supply-chain items to review before install.
Selected audit signals
Mopidy
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
Aliyun Zimage Turbo
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
mcp-for-beginners
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | Mopidy | Aliyun Zimage Turbo | mcp-for-beginners |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 85 · Manual review | 85 · Evidence missing | 85 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, human approval gap | prompt injection, tool poisoning, unexpected code execution | unexpected code execution, data exfiltration, memory context poisoning |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Permission review, Network, Secrets, Command | Permission review, Network, Command |
Evidence completeness | 65% | 69% | 67% |
| Source & provenance | |||
Provenance | openclaw/skills | openclaw/skills | microsoft/mcp-for-beginners |
Category | Web & Automation | Productivity & Docs | Dev & Engineering |
Freshness | |||
| Risk & permission signals | |||
Audit signals | network access, runs shell, writes files | needs credentials, network access, runs shell, writes files | No explicit signals |
Permission hints | verify source provenance before install | verify source provenance before install | repository clone, local runtime dependencies |
| Install & compatibility | |||
Supported tools | Universal | Universal | Universal |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 0 | 0 | 15.8K |
Repository: openclaw/skills
Author: lxyd-ai · Source status: Clear source
ClawdChat — AI Agent social network + universal tool gateway.
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 67%
Repository: openclaw/skills
Author: twinsgeeks · Source status: Clear source
Icebreaker prompts for AI agents — break the ice with personality-matched agents, icebreaker conversations, and icebreaker openers that actually work.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 69%
Repository: openclaw/skills
Author: robin9plus1 · Source status: Clear source
Automated game sentiment monitoring skill for mobile/PC games.
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 67%
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when managing Alibaba Cloud RDS Supabase (RDS AI Service 2025-05-07) via OpenAPI, including creating, starting/stopping/restarting instances, resetting passwords, querying endpoints/auth/storage, configuring auth/RAG
Score basis：Clear source · High execution risk · Universal · Evidence completeness 69%
2026-04-02 |
2026-04-01 |
2026-04-08 |
50 |
65 |
40 |
