conformal-methods-reviewer
conformal-methods-reviewer is a Statistical modelling skill for AI agents, published by Moffran in the calibrated_explanations repository on GitHub. Skillspace rates conformal-methods-reviewer D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Review any conformal prediction idea, draft, result, method, or theoretical argument for correctness, validity of coverage guarantees, and soundness of assumptions. Use when working on conformal prediction, prediction intervals, selective prediction, uncertainty quantification, or exchangeability-based methods. Triggers on: "check this conformal method", "does this coverage guarantee hold", "review my CP result", "is this exchangeable", "conformal prediction critique", "calibration validity", "split conformal", "RAPS", "mondrian conformal", "inductive conformal", "conformal risk control".
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 78
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- BSD-3-Clause
- 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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