health-model-review
health-model-review is an Account health & churn prevention skill for AI agents, published by t0ddc3by in the claude-for-customer-success repository on GitHub. Skillspace rates health-model-review C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Audit the portfolio health model — distribution analysis, component weight validation, threshold calibration, signal freshness, and predictive accuracy assessment. Use quarterly or when churn patterns diverge from health classifications. Produces an ops-level health model assessment with calibration recommendations, not account-level health reviews (use the CSM plugin's health-score-review skill for individual accounts; if the `csm` plugin is installed, run `/csm:health-score-review`).
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 57
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
- 81 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. Generic customer-success health-model calibration audit
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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