aod-change-control
aod-change-control is a Change & PR review skill for AI agents, published by Hankanman in the Area-Occupancy-Detection repository on GitHub. Skillspace rates aod-change-control D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Use before opening, reviewing, or merging any PR against Area Occupancy Detection (AOD) — especially anything touching Bayesian math (utils.py sigmoid pipeline), priors, decay/half-life, likelihoods, config schema (const.py CONF_*/DEFAULT_*), the config-entry migration ladder (migrations.py), or the DB schema (db/schema.py). Also load when deciding how to reply to CodeRabbit, when bumping the release version, when someone proposes a new per-sensor config knob, or when you're unsure whether a change needs a version bump, a migration, or extra validation before merge.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 309
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
- 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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