aod-debugging-playbook
aod-debugging-playbook is a System & environment troubleshooting skill for AI agents, published by Hankanman in the Area-Occupancy-Detection repository on GitHub. Skillspace rates aod-debugging-playbook D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Use when triaging a live Area Occupancy Detection symptom report — occupancy stuck on/won't clear, occupancy won't turn on, probability pinned at 0.99 or 0.01, wrong or spammy repair issues, a config setting that seems to be "ignored" (especially decay half-life or min_prior_override), the database growing/slow, config-flow errors, or entities showing 100% occupied right after a restart. Also load this before touching timezone/DST datetime handling, decay half-life resolution, or prior/global_prior calculation code — these are the project's three most expensive historical bug classes and this skill has the exact traps.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 309
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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