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: scraper-mcp
Author: jessaminesimple608 · Source status: Clear source
🌐 Streamline web scraping with Scraper MCP, a server that optimizes content for AI by filtering data and reducing token usage for LLMs.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 69%
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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
Ai-Resume-Analyzer
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
checkout-agent
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, shell without guardrails, network without allowlist
udemy-courses
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | Ai-Resume-Analyzer | checkout-agent | udemy-courses |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 82 · Manual review | 85 · Manual review | 85 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, OpenClaw | Clear source, High execution risk, Universal |
Threat tags | unexpected code execution, data exfiltration, human approval gap | 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, shell without guardrails, network without allowlist | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Permission review, Network, Secrets, Command | Permission review, Network, Command |
Evidence completeness | 65% | 65% | 67% |
| Source & provenance | |||
Provenance | SagarBiswas-MultiHAT/Ai-Resume-Analyzer | openclaw/skills | orassayag/udemy-courses |
Freshness | 2026-02-25 | 2026-04-02 | 2026-03-30 |
| Risk & permission signals | |||
Audit signals | network access, writes files | needs credentials, network access | network access |
Permission hints | repository clone, local runtime dependencies | verify source provenance before install | repository clone, local runtime dependencies |
| Install & compatibility | |||
Supported tools | Universal | OpenClaw | Universal |
Install friction | 40 | 55 | 40 |
| Community | |||
Stars | 13 | 0 | 4 |
Repository: openclaw/skills
Author: krishnakumarmahadevan-cmd · Source status: Clear source
Generate professional resumes and cover letters from structured data with optional resume parsing capabilities.
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 65%
Repository: openclaw/skills
Author: apscrapes · Source status: Clear source
Extract structured product data from e-commerce URLs using the Zyte API and generate side-by-side comparison tables with intelligent purchase recommendations.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: ChatAutomation-AI-Assistant
Author: SagarBiswas-MultiHAT · Source status: Clear source
Automates chat replies for Messenger and WhatsApp using PyAutoGUI for UI actions, Pyperclip for clipboard capture, and Groq for AI responses.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: crawlee
Author: apify · Source status: Clear source
Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 68%
