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: Instagram-Hashtag-Scraper
Author: youmeat6678 · Source status: Clear source
A Python project for scraping Instagram posts based on specific hashtags.
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
BotD
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：broad permissions, shell without guardrails, network without allowlist
agent-browser
Execution risk：High
Threat tags：data exfiltration, human approval gap
Control gaps：missing license, broad permissions, network without allowlist
scraper-mcp
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | BotD | agent-browser | scraper-mcp |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 82 · Manual review | 79 · Manual review | 82 · Evidence missing |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Claude | Clear source, High execution risk, Universal |
Threat tags | unexpected code execution, data exfiltration, human approval gap | data exfiltration, human approval gap | unexpected code execution, identity privilege abuse, data exfiltration |
Control gaps | broad permissions, shell without guardrails, network without allowlist | missing license, broad permissions, network without allowlist | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Network, Command | Permission review, Network, Secrets, Command |
Evidence completeness | 67% | 64% | 69% |
| Source & provenance | |||
Provenance | fingerprintjs/BotD | vercel-labs/agent-browser/tree/main/skills/agent-browser | jessaminesimple608/scraper-mcp |
Freshness | 2026-03-29 | 2026-02-04 | 2026-04-07 |
| Risk & permission signals | |||
Audit signals | No explicit signals | No explicit signals | needs credentials, network access |
Permission hints | repository clone, local runtime dependencies | registry access, remote metadata pull, runtime dependencies may be required | repository clone, local runtime dependencies |
| Install & compatibility | |||
Supported tools | Universal | Claude, Codex, Cursor, Universal | Universal |
Install method | script-backed | registry-install | script-backed |
Install friction | |||
| Community | |||
Stars | 1.4K | 13.4K | 3 |
Repository: mcp-perf-suite
Author: canyonlabz · Source status: Clear source
A modular MCP server suite for performance‑testing workflows: generate JMeter scripts from browser automation, manage and run load tests, ingest and correlate metrics from APM tools using temporal correlation analysis, a
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: pending
Author: Iván · Source status: Source needs review
Browser automation via Playwright MCP.
Score basis：Source needs review · High execution risk · Claude · Evidence completeness 69%
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%
Repository: udemy-courses
Author: orassayag · Source status: Clear source
A Node.js and Puppeteer.js automation tool that discovers and enrolls in free Udemy courses using coupon codes from coupon sites.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
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