ir:onboarding-factory/assess
ir:onboarding-factory/assess is a Skill evaluation & testing skill for AI agents, published by ingo-eichhorst in the Irrlicht repository on GitHub. Skillspace rates ir:onboarding-factory/assess F (48/100) and it passed the safety scan; the rating is based on static analysis only.
Judge one (agent, scenario) cell across the three pillars — agent capability, daemon sensor capture, driver capability — on cited evidence, then author the cell's recipe and machine-checkable spec. Writes the cell metadata via `of cell write` and the spec (expected.jsonl) via `of cell spec`. No live recording. Invoked as `/ir:onboarding-factory assess <agent> <scenario>`.
- Grade
- F
- Quality
- 48 / 100
- Safety
- Passed
- GitHub stars
- 88
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 71 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- 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
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