openevidence-data-handling
openevidence-data-handling is a Privacy & regulatory compliance skill for AI agents, published by Dicklesworthstone in the pi_agent_rust repository on GitHub. Skillspace rates openevidence-data-handling D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Implement HIPAA-compliant PHI data handling for OpenEvidence integrations. Use when implementing data protection, configuring retention policies, or ensuring compliance for clinical AI data flows. Trigger with phrases like "openevidence phi", "openevidence data", "openevidence hipaa data", "clinical data handling", "patient data protection".
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 1,323
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
- 74 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 4 collections
- Scope
- Vendor-specific: built around one product. HIPAA data handling for OpenEvidence product integrations
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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