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
Search to add skills, or paste 2–4 comma-separated slugs.
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
Game Sentiment Monitor
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
Icebreaker Openers. 破冰。Rompehielos.
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
openai-python
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | Game Sentiment Monitor | Icebreaker Openers. 破冰。Rompehielos. | openai-python |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 61 · Manual review | 56 · Evidence missing | 66 · Manual review |
Score basis | Clear source, High execution risk, OpenClaw | Clear source, High execution risk, Claude | Clear source, High execution risk, Universal |
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | prompt injection, tool poisoning, unexpected code execution | unexpected code execution, data exfiltration, human approval gap |
Permission summary | Permission review, Network, Secrets, Command | Permission review, Network, Secrets, Command | Permission review, Network, Command |
Evidence completeness | 67% | 69% | 65% |
| Source & provenance | |||
Provenance | openclaw/skills | openclaw/skills | openai/openai-python |
Category | Web & Automation | Integrations & Connectors | Automation & Workflows |
Freshness | |||
| Risk & permission signals | |||
Audit signals | needs credentials, network access, writes files | needs credentials, network access, runs shell, writes files | metadata-only |
Permission hints | verify source provenance before install | verify source provenance before install | repository clone |
| Install & compatibility | |||
Supported tools | OpenClaw | Claude, OpenClaw | Universal |
Install friction | 55 | 65 | 75 |
| Community | |||
Stars | 0 | 0 | 30.5K |
Repository: openclaw/skills
Author: neroagent · Source status: Clear source
Automated audit and fix for OpenClaw agent harnesses.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 69%
Repository: openclaw/skills
Author: grantmacnamara · Source status: Clear source
Control a Mopidy music system via Mopidy JSON-RPC for everyday listening, queue management, and playback control.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
2026-04-05 |
2026-04-01 |
2026-04-14 |
