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: 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%
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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
Opencode Cli
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
Code Analysis Skills 1.0.6
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
Agent Sync
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | Opencode Cli | Code Analysis Skills 1.0.6 | Agent Sync |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 85 · Manual review | 85 · Manual review | 84 · Manual review |
Score basis | Clear source, High execution risk, OpenClaw | Clear source, High execution risk, Universal | Clear source, High execution risk, Claude |
Threat tags | prompt injection, tool poisoning, unexpected code execution | unexpected code execution, data exfiltration, human approval gap | prompt injection, tool poisoning, unexpected code execution |
Permission summary | Permission review, Network, Secrets, Command | Permission review, Network, Command | Permission review, Network, Command |
Evidence completeness | 69% | 65% | 67% |
| Source & provenance | |||
Freshness | 2026-04-05 | 2026-03-25 | 2026-04-05 |
| Risk & permission signals | |||
Audit signals | needs credentials, network access, runs shell, writes files | network access, runs shell, writes files | network access, runs shell, writes files |
Permission hints | verify source provenance before install | verify source provenance before install | target os: macos, target os: linux, verify source provenance before install |
| Install & compatibility | |||
Supported tools | OpenClaw | Universal | Claude, Codex, Cursor, OpenClaw, Windsurf, GitHub Copilot |
Install friction | 65 | 50 | |
Repository: openclaw/skills
Author: alexanderliteplo · Source status: Clear source
Hire humans for physical-world tasks via RentAHuman.ai.
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 67%
Repository: openclaw/skills
Author: graveyardprotocol · Source status: Clear source
Close empty Solana SPL token accounts and reclaim locked rent SOL back to your wallet, track Ghost Point earnings, claim SOUL tokens at the end of each weekly epoch, manage multiple encrypted wallets, and view lifetime a
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: 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%
