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: raptor
Author: gadievron · Source status: Clear source
Raptor turns Claude Code into a general-purpose AI offensive/defensive security agent.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
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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
claude-pace-maker
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
playwright
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
dify
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | claude-pace-maker | playwright | dify |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 60 · Manual review | 66 · Manual review | 66 · Manual review |
Threat tags | prompt injection, tool poisoning, unexpected code execution | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, human approval gap |
Evidence completeness | 68% | 65% | 65% |
| Source & provenance | |||
Provenance | LightspeedDMS/claude-pace-maker | microsoft/playwright | langgenius/dify |
Category | Dev & Engineering | Automation & Workflows | Agent & Tools |
Freshness | |||
| Risk & permission signals | |||
Audit signals | writes files | metadata-only | metadata-only |
Permission hints | repository clone, local runtime dependencies | repository clone | repository clone |
| Install & compatibility | |||
Install friction | 40 | 75 | 75 |
| Community | |||
Stars | 4 | 86.4K | 137.7K |
Repository: ClaudeBar
Author: tddworks · Source status: Clear source
A macOS menu bar application that monitors AI coding assistant usage quotas.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: ccNexus
Author: lich0821 · Source status: Clear source
Intelligent API gateway for Claude Code and Codex CLI - rotate endpoints, monitor usage, and seamlessly integrate OpenAI, Gemini, and other platforms.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: splitrail
Author: Piebald-AI · Source status: Clear source
Fast, cross-platform, real-time token usage tracker and cost monitor for Gemini CLI / Claude Code / Codex CLI / Qwen Code / Cline / Roo Code / Kilo Code / GitHub Copilot / OpenCode / Pi Agent / Piebald.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: entroly
Author: juyterman1000 · Source status: Clear source
Entroly helps AI coding tools like Cursor, Copilot, and Claude Code use the right context from your entire codebase—improving output quality while reducing token usage.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 69%
2026-04-06 |
2026-04-14 |
2026-04-14 |
