ir:onboarding-factory
ir:onboarding-factory is an Agent task delegation & fan-out skill for AI agents, published by ingo-eichhorst in the Irrlicht repository on GitHub. Skillspace rates ir:onboarding-factory D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Maintain the canonical scenario × agent fixture matrix for irrlicht. A slim dispatcher that routes intent to four focused subagents — `create-scenario` (add a matrix row), `create-agent` (add a matrix column), `assess` (judge one cell across the three pillars and write its spec), and `record` (drive the live agent and verify every websocket observation). Every read and every write goes through the `of` factory CLI (tools/onboarding-factory) — the skill itself never touches `replaydata/`. Each subagent returns a short summary (≤6 lines, ≤7 for `record`) so the parent keeps its context for strategic decisions instead of drowning in per-cell tool output. Use when the user says "/ir:onboarding-factory", "onboard agent", "add a scenario", "assess fixtures", "record fixtures", or "regenerate recordings". For unattended / overnight runs ("push through", "onboard everything", "implement everything that can be"), see the Overnight push-through mode section — implement every feasible unlock and…
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 88
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, so go by its current files.
Our review
- Architecture
- 75 / 100
- Maturity
- Structured: ships references or scripts
- 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
- Category is a classifier prediction; no model has read this skill 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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