aod-proof-and-analysis-toolkit
aod-proof-and-analysis-toolkit is a Statistical modelling skill for AI agents, published by Hankanman in the Area-Occupancy-Detection repository on GitHub. Skillspace rates aod-proof-and-analysis-toolkit D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Use when you are about to touch, review, or debug any probability/statistics math in Area Occupancy Detection (priors, likelihoods, decay half-lives, logit-space boosts, correlation confidence, timezone/interval bucketing) and need to hand-verify the numbers BEFORE trusting a PR, a bug report, or your own patch. Trigger on tasks like "does this prior look right", "is this decay curve correct", "why did the prior pin at 0.99", "check this ratio/denominator", "audit this new coupling between areas for feedback loops", or any request to prove a calculation from first principles rather than just running the test suite.
- Grade
- D
- Quality
- 63 / 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
- 90 / 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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