world-model

world-model is a Codebase mapping & onboarding skill for AI agents, published by BulloRosso in the etienne repository on GitHub. Skillspace rates world-model F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Use this skill to understand Etienne's system architecture, service dependencies, and data layout. Consult when reasoning about what services are available, what credentials are needed, where project data lives, how skills depend on backend modules and external services, or how the UI viewer system works. Trigger phrases: 'what services are running', 'system architecture', 'what depends on what', 'where is the data stored', 'what credentials do I need', 'how does the viewer work'.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
32

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
88 / 100
Maturity
Basic: a single SKILL.md
Security scan
High-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • references sensitive credential env
  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.