Crawlee
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 risk signals · Universal
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.
SAS-v2.1 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
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
Audit score, evidence confidence, trust score, 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
scraper-mcp
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
Control gaps:missing license, broad permissions, shell without guardrails
agent-browser
Execution risk:High
Threat tags:data exfiltration, human approval gap
Control gaps:missing license, broad permissions, network without allowlist
Web Browsing.Bak
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
Control gaps:missing license, shell without guardrails, network without allowlist
| Dimension | scraper-mcp | agent-browser | Web Browsing.Bak |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Audit grade | D · Limited evidence | C · Review first | C · Review first |
Execution risk | High | High | High |
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | data exfiltration, human approval gap | unexpected code execution, identity privilege abuse, data exfiltration |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, network without allowlist | missing license, shell without guardrails, network without allowlist |
Permission summary | Permission review, Network, Secrets, Command | Network, Command | Permission review, Network, Secrets, Command |
Evidence confidence | 69% | 64% | 65% |
| Source & provenance | |||
Provenance | jessaminesimple608/scraper-mcp | vercel-labs/agent-browser/tree/main/skills/agent-browser | openclaw/skills |
Category | Web & Automation | Web & Automation | Web & Automation |
Freshness | |||
| Risk & trust | |||
Trust score | 82 | 79 | 82 |
Audit signals | needs credentials, network access | No explicit signals | needs credentials, network access |
| Install & compatibility | |||
Supported tools | Universal | Claude, Codex, Cursor, Universal | Universal |
Install method | script-backed | registry-install | script-backed |
Install friction | |||
| Community | |||
Stars | 3 | 13.4K | 0 |
Repository: Ai-Resume-Analyzer
Author: SagarBiswas-MultiHAT · Source status: Clear source
A local-first Flask web app that analyzes PDF/DOCX resumes using a Groq/OpenAI-compatible LLM.
Score basis:Clear source · High risk signals · Universal
2026-04-07 |
2026-02-04 |
2026-03-21 |
Permission hints |
|---|
repository clone, local runtime dependencies |
registry access, remote metadata pull, runtime dependencies may be required |
verify source provenance before install |
55 |
50 |
55 |