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: hsyhph · Source status: Clear source
Automate web browser interactions using natural language via CLI commands.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 69%
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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
pathway
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
cryptocurrency.cv
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | Mopidy | pathway | cryptocurrency.cv |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 65 · Manual review | 65 · Manual review | 61 · Manual review |
Threat tags | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, identity privilege abuse, data exfiltration |
Permission summary | Permission review, Network, Command | Permission review, Network, Command | Permission review, Network, Secrets, Command |
Evidence completeness | 65% | 67% | 69% |
| Source & provenance | |||
Provenance | openclaw/skills | pathwaycom/pathway | nirholas/cryptocurrency.cv |
Category | Web & Automation | Automation & Workflows | Agent & Tools |
Freshness | |||
| Risk & permission signals | |||
Audit signals | network access, runs shell, writes files | metadata-only | metadata-only |
Permission hints | verify source provenance before install | repository clone | repository clone |
| Install & compatibility | |||
Install friction | 50 | 75 | 75 |
| Community | |||
Stars | 0 | 63.5K | 145 |
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when low-latency realtime speech recognition is needed with Alibaba Cloud Model Studio Qwen ASR Realtime models, including streaming microphone input, live captions, or duplex voice agents.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: openclaw/skills
Author: dexploarer · Source status: Clear source
Real-time meme token lists from Pump.fun, Four.meme and other launchpads.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
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: 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%
2026-04-02 |
2026-04-14 |
2026-04-13 |
