propose-rules
propose-rules is a Health informatics & FHIR skill for AI agents, published by Appsilon in the mediforce repository on GitHub. Skillspace rates propose-rules D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Propose new study-specific validation rules for the landing-zone workflow based on the findings of a rejected delivery. Append-only — never modify existing rules. Reads /workspace/validation-rules.yaml and /workspace/findings.json, writes proposed additions back, plus a PR title and body to /output/result.json. Triggers: 'propose validation rules', 'codify findings into rules', 'landing zone learn from rejection', 'append validation-rules.yaml'. Used by the propose-rules agent step in the landing-zone workflow after a delivery is rejected — the goal is to capture knowledge gained from broken data so the next CRO submission catches the same problem before a human has to look at it.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 32
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.