data-validator

data-validator is a Non-code artifact review skill for AI agents, published by Appsilon in the mediforce repository on GitHub. Skillspace rates data-validator C (74/100) and it passed the safety scan; the rating is based on static analysis only.

Render a self-contained HTML report for a CDISC CORE validation delivery. The 5-class classification (clean / minor-fix / recovery / escalate / chaos) is computed deterministically by the prior validate-script step — this skill reads it from the step input and presents it. Use this skill when the prior step has produced findings or has failed and the task is to render the report a human reviewer (or downstream auto-route) will read. Triggers: 'interpret validation', 'render validation report', 'review CDISC CORE output', 'validation report for human review', 'landing zone interpret'. This skill is the agent half of the validate -> human-review handoff.

Grade

C

Quality

74 / 100

Safety

Passed

GitHub stars

32

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

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.

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