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
posthog
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
agentic-ai-engineering
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
mcp-for-beginners
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | posthog | agentic-ai-engineering | mcp-for-beginners |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Threat tags | unexpected code execution, data exfiltration, human approval gap | prompt injection, tool poisoning, unexpected code execution | unexpected code execution, data exfiltration, memory context poisoning |
Evidence confidence | 65% | 68% | 67% |
| Source & provenance | |||
Provenance | PostHog/posthog | agenticloops-ai/agentic-ai-engineering | microsoft/mcp-for-beginners |
Freshness | 2026-04-07 | 2026-04-07 | 2026-04-08 |
| Risk & trust | |||
Trust score | 85 | 82 | 85 |
Audit signals | |||
| Community | |||
Stars | 32.4K | 49 | 15.8K |
Repository: OpenTokenMonitor
Author: Hitheshkaranth · Source status: Clear source
OpenTokenMonitor is a lightweight, local-first desktop widget for tracking AI CLI usage across Claude, Codex, and Gemini.
Score basis：Clear source · Risk needs review · Universal
Repository: Promet
Author: Tripadh · Source status: Clear source
Promet is an AI-powered prompt engineering and optimization platform that helps users generate, refine, and evaluate high-quality prompts for better AI outputs.
Score basis：Clear source · Low risk signals · Universal
Repository: ArcGIS-JavaScript-AI-Component
Author: ralouta · Source status: Clear source
A production-style demo showcasing how to combine ArcGIS Maps SDK, ArcGIS Assistant agents, and a custom LangGraph agent for natural language map interaction and automated feature layer creation in ArcGIS Online or Enter
Score basis：Clear source · Risk needs review · Universal
Repository: raptor
Author: gadievron · Source status: Clear source
Raptor turns Claude Code into a general-purpose AI offensive/defensive security agent.
Score basis：Clear source · Low risk signals · Universal
No explicit signals |
No explicit signals |
