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.
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
Repository: AstrBot
Author: AstrBotDevs · Source status: Clear source
Agentic IM Chatbot infrastructure that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative.
Score basis：Clear source · Low risk signals · Universal
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
kubectl-ai
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
onepassword-operator
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | kubectl-ai | onepassword-operator |
|---|---|---|
| SAS-v2.1 pre-install audit | ||
Threat tags | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, identity privilege abuse, data exfiltration |
Permission summary | Permission review, Network, Command | Permission review, Network, Secrets, Command |
Evidence confidence | 65% | 67% |
| Source & provenance | ||
Provenance | sozercan/kubectl-ai | 1Password/onepassword-operator |
Freshness | 2025-01-28 | 2026-03-28 |
| Risk & trust | ||
Trust score | 64 | 79 |
| Community | ||
Stars | 1.2K | 608 |
Repository: claude-code
Author: anthropics · Source status: Clear source
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent",
Score basis：Clear source · High risk signals · Claude
Repository: langfuse
Author: langfuse · Source status: Clear source
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets.
Score basis：Clear source · Low risk signals · Universal
