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: claude-code-router
Author: musistudio · Source status: Clear source
Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.
Score basis：Clear source · High execution risk · Universal · 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
caveman
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
mcp-context-forge
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
accessibility-scanner
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | caveman | mcp-context-forge | accessibility-scanner |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 92 · Manual review | 79 · Manual review | 90 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal |
Execution risk | High | High | High |
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, data exfiltration, memory context poisoning | 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, Command | Permission review, Network, Command |
Evidence completeness | 67% | 67% | 65% |
| Source & provenance | |||
Provenance | JuliusBrussee/caveman | IBM/mcp-context-forge | github/accessibility-scanner |
Category | Automation & Workflows | Operations & Infra | Agent & Tools |
Freshness | |||
| Risk & permission signals | |||
Audit signals | metadata-only | No explicit signals | metadata-only |
Permission hints | repository clone | repository clone, local runtime dependencies | repository clone |
| Install & compatibility | |||
Supported tools | Universal | Universal | Universal |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 27.1K | 3.5K | 260 |
Repository: rtk
Author: rtk-ai · Source status: Clear source
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: LLMs-from-scratch
Author: rasbt · Source status: Clear source
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: claude-cookbooks
Author: anthropics · Source status: Clear source
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: career-ops
Author: santifer · Source status: Clear source
AI-powered job search system built on Claude Code.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: andrej-karpathy-skills
Author: forrestchang · Source status: Clear source
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
2026-04-13 |
2026-04-08 |
2026-04-14 |
75 |
40 |
75 |
