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
udemy-courses
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
info-research-report
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
Control gaps:missing license, broad permissions, shell without guardrails
BotD
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:broad permissions, shell without guardrails, network without allowlist
| Dimension | udemy-courses | info-research-report | BotD |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Audit grade | C · Review first | C · Review first | C · Review first |
Execution risk | High | High | High |
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, broad permissions, shell without guardrails | broad permissions, shell without guardrails, network without allowlist |
Permission summary | Permission review, Network, Command | Permission review, Network, Secrets, Command | Permission review, Network, Command |
Evidence confidence | 67% | 71% | 67% |
| Source & provenance | |||
Provenance | orassayag/udemy-courses | openclaw/skills | fingerprintjs/BotD |
Category | Web & Automation | Data & Analytics | Web & Automation |
Freshness | |||
| Risk & trust | |||
Trust score | 85 | 85 | 82 |
Audit signals | |||
| Install & compatibility | |||
Supported tools | Universal | OpenClaw | Universal |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 4 | 0 | 1.4K |
Repository: openclaw/skills
Author: diagnostikon · Source status: Clear source
Trades monotonicity violations in NHL hockey O/U market ladders and spread-vs-total consistency on Polymarket.
Score basis:Clear source · High risk signals · Universal
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 risk signals · Universal
2026-03-30 |
2026-04-04 |
2026-03-29 |
needs credentials, network access, runs shell, writes files |
No explicit signals |
Permission hints | repository clone, local runtime dependencies | verify source provenance before install | repository clone, local runtime dependencies |
|---|
40 |
65 |
40 |