Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Selected skills (2/4)
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
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
awesome-web-agents
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
compose-for-agents
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | awesome-web-agents | compose-for-agents |
|---|---|---|
| Pre-install decision | ||
Pre-install score | 76 · Manual review | 82 · Manual review |
Evidence completeness | 67% | 65% |
| Source & provenance | ||
Provenance | steel-dev/awesome-web-agents | docker/compose-for-agents |
Freshness | 2026-04-06 | 2026-03-24 |
| Risk & permission signals | ||
Audit signals | network access | No explicit signals |
| Community | ||
Stars | 1.4K | 905 |
Repository: agentic-ai-engineering
Author: agenticloops-ai · Source status: Clear source
Hands-on tutorials for building AI agents from scratch.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 68%
Repository: NVIDIA-Nemotron-3-Super
Author: cobusgreyling · Source status: Clear source
Controllable reasoning demos for NVIDIA Nemotron 3 Super (120B/12B MoE) — chat UI, CLI, API server, tool calling, budget sweep, and adaptive routing Topics: gradio, llm, mixture-of-experts, moe, nemotron, nim, nvidia, re
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: steel-browser
Author: steel-dev · Source status: Clear source
🔥 Open Source Browser API for AI Agents & Apps.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: posthog
Author: PostHog · Source status: Clear source
🦔 PostHog is an all-in-one developer platform for building successful products.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
