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: 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%
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
skill-seekers
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
Vercel
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
Claude Task Runner
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | skill-seekers | Vercel | Claude Task Runner |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 88 · Evidence missing | 85 · Manual review | 85 · Manual review |
Score basis | Clear source, High execution risk, Claude | Clear source, High execution risk, Cursor | Clear source, High execution risk, Claude |
Execution risk | High | High | High |
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, data exfiltration, human approval gap |
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, Secrets, Command | Permission review, Network, Secrets, Command | Permission review, Network, Command |
Evidence completeness | 71% | 65% | 65% |
| Source & provenance | |||
Provenance | openclaw/skills | openclaw/skills | openclaw/skills |
Category | Dev & Engineering | Dev & Engineering | Data & Analytics |
Freshness | |||
| Risk & permission signals | |||
Audit signals | needs credentials, network access, runs shell, writes files | needs credentials, network access, runs shell | network access, runs shell, writes files |
Permission hints | verify source provenance before install | verify source provenance before install | verify source provenance before install |
| Install & compatibility | |||
Supported tools | Claude, Cursor, Windsurf | Cursor | Claude, OpenClaw |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 0 | 0 | 0 |
Repository: openclaw/skills
Author: nic-yuan · Source status: Clear source
Spec-first, TDD, subagent-driven software development workflow for OpenClaw agents.
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 65%
Repository: mcp-for-beginners
Author: microsoft · Source status: Clear source
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
2026-04-04 |
2026-03-29 |
2026-03-29 |
65 |
65 |
50 |
