data-quality-check
data-quality-check is a CRM administration skill for AI agents, published by t0ddc3by in the claude-for-customer-success repository on GitHub. Skillspace rates data-quality-check D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Audit CRM and CS platform data quality against configured field requirements — completeness, staleness, consistency, and orphaned records. Use before reporting cycles, after CSM transitions, or when analytics outputs appear unreliable. Produces a field-level data quality scorecard with a prioritized remediation backlog. Distinct from health-model-review: this skill audits the data feeding the health model; health-model-review audits the model itself.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 57
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
- 73 / 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
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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