gaia-review
gaia-review is a Statistical modelling skill for AI agents, published by SiliconEinstein in the Gaia repository on GitHub. Skillspace rates gaia-review D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Use when assigning priors to independent claims in a Gaia knowledge package via `priors.py` and `register_prior`. Carries the prior-assignment guide (evidence-level → prior-range table, abduction π(Alt) explanatory-power semantics encoded as the `p_e_given_h` / `p_e_given_not_h` likelihood ratio) and the iteration loop. Different from `gaia inquiry review` — that is a graph-health publish-gate verb; this skill is the prior-assignment workflow.
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 31
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
- 80 / 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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