Start with the matrix. Open this section when you need to understand audit grades, top threats, control gaps, and best-value highlights.
Open notes
Suggested baseline
Suggested skills to compare
Security Ownership Map
Repository: openai/skills
Author: openai · Source status: Clear source
Score 82Clear source
Manual review
Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization.
Score basis:Clear source · High execution risk · Claude · Evidence completeness 67%
Author unclaimed
Claude
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
git-commit
C · Review first
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
langfuse-python
C · Review first
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
Convert documentation, GitHub repos, PDFs, codebases, videos, and more into structured AI skills using the skill-seekers CLI. Use this skill whenever the user wants to create an AI
Repository: openclaw/skills
Author: tenequm · Source status: Clear source
Score 88Clear source
Evidence missing
Convert documentation, GitHub repos, PDFs, codebases, videos, and more into structured AI skills using the skill-seekers CLI.
Score basis:Clear source · High execution risk · Claude · Evidence completeness 71%