compliance-precheck

compliance-precheck is a Privacy & regulatory compliance skill for AI agents, published by charliehzm in the medharness repository on GitHub. Skillspace rates compliance-precheck D (58/100) and it passed the safety scan; the rating is based on static analysis only.

Use this skill at the very start of every OpenSpec change (Step 0) for a medical-data SaaS / data platform repository. It classifies the data tier (L1-L4) the change will touch, enumerates the minimal required fields, and produces a signed COMPLIANCE_TAG.md plus a MODEL_ALLOWLIST.json that the mcp-model-router uses as a runtime gate. Always run before any PRD work, model invocation, or code generation that may touch patient / health data. Chinese trigger examples: "合规预检", "数据分级", "新需求合规", "字段清单合规", "PHI 风险评估", "Step 0", "模型 allowlist 生成". Do NOT use for non-medical changes, for pure infra refactors with no data exposure, or after a change has already entered Step 1. Success = signed COMPLIANCE_TAG.md, valid MODEL_ALLOWLIST.json injected into mcp-model-router, all "Yes" risks have mitigation, zero unsigned fields entering the prompt.

Grade
D
Quality
58 / 100
Safety
Passed
GitHub stars
95

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.

View source on GitHubcharliehzm/medharness

Our review

Architecture
82 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Apache-2.0
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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