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: 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%
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
java-pro
Execution risk：High
Threat tags：data exfiltration, human approval gap
Control gaps：missing license, broad permissions, network without allowlist
Organizze Skill
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
ui-ux-pro-max
Execution risk：High
Threat tags：data exfiltration, human approval gap
Control gaps：missing license, network without allowlist, no human approval
| Dimension | java-pro | Organizze Skill | ui-ux-pro-max |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 76 · Manual review | 85 · Manual review | 82 · Manual review |
Score basis | Clear source, High execution risk, Claude | Clear source, High execution risk, Universal | Clear source, High execution risk, Claude |
Execution risk | High | High | High |
Threat tags | data exfiltration, human approval gap | unexpected code execution, identity privilege abuse, data exfiltration | data exfiltration, human approval gap |
Control gaps | missing license, broad permissions, network without allowlist | missing license, broad permissions, shell without guardrails | missing license, network without allowlist, no human approval |
Permission summary | Network, Command | Permission review, Network, Secrets, Command | Network, Command |
Evidence completeness | 65% | 67% | 63% |
| Source & provenance | |||
Provenance | sickn33/antigravity-awesome-skills/tree/main/skills/java-pro | openclaw/skills | nextlevelbuilder/ui-ux-pro-max-skill/tree/main/.claude/skills/ui-ux-pro-max |
Category | Dev & Engineering | Dev & Engineering | Design & Content |
Freshness | |||
| Risk & permission signals | |||
Audit signals | No explicit signals | needs credentials, network access, runs shell, writes files | No explicit signals |
Permission hints | registry access, remote metadata pull, runtime dependencies may be required | verify source provenance before install | registry access, remote metadata pull, runtime dependencies may be required |
| Install & compatibility | |||
Supported tools | Claude, Codex, Cursor, Universal | Universal | Claude, Codex, Cursor, Universal |
Install method | registry-install | script-backed | registry-install |
Install friction | |||
| Community | |||
Stars | 8K | 0 | 29.8K |
Repository: openai/skills
Author: openai · Source status: Clear source
Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization.
Score basis：Clear source · High execution risk · Claude · 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%
2026-02-04 |
2026-04-04 |
2026-02-04 |
50 |
65 |
50 |
