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
Superpowers Core Pipeline (袁文同优化版)
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
ClaudeBar
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
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 | Superpowers Core Pipeline (袁文同优化版) | ClaudeBar | openai-python |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 65 · Manual review | 66 · Manual review | 66 · Manual review |
Score basis | Clear source, High execution risk, OpenClaw | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal |
| Source & provenance | |||
Provenance | openclaw/skills | tddworks/ClaudeBar | openai/openai-python |
Category | Dev & Engineering | Dev & Engineering | Automation & Workflows |
Freshness | |||
| Risk & permission signals | |||
Audit signals | network access, runs shell, writes files | No explicit signals | metadata-only |
Permission hints | requires binary: git, verify source provenance before install | repository clone, local runtime dependencies | repository clone |
| Install & compatibility | |||
Supported tools | OpenClaw | Universal | Universal |
Install friction | 50 | 40 | 75 |
| Community | |||
Stars | 0 | 893 | 30.5K |
Repository: openclaw/skills
Author: dexploarer · Source status: Clear source
Binance Onchain Pay: buy crypto with fiat (EUR, USD) or send crypto to any on-chain wallet.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 67%
Repository: openclaw/skills
Author: stevojarvisai-star · Source status: Clear source
AI-powered trading bot framework for OpenClaw.
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 67%
Repository: openclaw/skills
Author: tenequm · Source status: Clear source
Convert documentation, GitHub repos, PDFs, codebases, videos, and more into structured AI skills using the skill-seekers CLI.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 71%
Repository: openclaw/skills
Author: kongbai233 · Source status: Clear source
This skill should be used when the user needs to analyze Git repositories, compare developer commit patterns, work habits, development efficiency, code style, code quality, and slacking behaviors.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
2026-04-02 |
2026-04-01 |
2026-04-14 |
