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%
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
caveman
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
mcp-integration
Execution risk：High
Threat tags：data exfiltration, memory context poisoning, human approval gap
Control gaps：missing license, broad permissions, network without allowlist
BitNet
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-integration | BitNet |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 92 · Manual review | 79 · Manual review | 92 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Claude | Clear source, High execution risk, Universal |
Execution risk | High | High | High |
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | data exfiltration, memory context poisoning, human approval gap | unexpected code execution, data exfiltration, human approval gap |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, network without allowlist | 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% | 65% | 65% |
| Source & provenance | |||
Provenance | JuliusBrussee/caveman | anthropics/claude-code/tree/main/plugins/plugin-dev/skills/mcp-integration | microsoft/BitNet |
Category | Automation & Workflows | Operations & Infra | Automation & Workflows |
Freshness | |||
| Risk & permission signals | |||
Audit signals | metadata-only | network access | metadata-only |
Permission hints | repository clone | registry access, remote metadata pull, runtime dependencies may be required | repository clone |
| Install & compatibility | |||
Supported tools | Universal | Claude, Codex, Cursor, Universal | Universal |
Install method | script-backed | registry-install | script-backed |
Install friction | |||
| Community | |||
Stars | 27.1K | 65.5K | 38.2K |
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 |
2026-02-04 |
2026-03-10 |
75 |
50 |
75 |
