aod-run-and-operate
aod-run-and-operate is a Data pipelines & ETL skill for AI agents, published by Hankanman in the Area-Occupancy-Detection repository on GitHub. Skillspace rates aod-run-and-operate D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Use when you need to actually run the integration or its satellite tools — launch the devcontainer's Home Assistant instance, add an area through the config-flow UI, enable debug logging, find the SQLite DB, read or interpret the hourly analysis pipeline's log lines, run the Flask simulator locally, or understand the release/HACS/docs-deploy machinery. Triggers on "how do I run this", "start HA", "add an area", "where's the database", "Step N FAILED", "sync_states", "run the simulator", "cut a release", "HACS", or "docs site".
- Grade
- D
- Quality
- 68 / 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
- 100 / 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
- 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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