mira-annotation-review
mira-annotation-review is a Non-code artifact review skill for AI agents, published by stencila in the stencila repository on GitHub. Skillspace rates mira-annotation-review D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Review MIRA annotations in Markdown documents for semantic correctness, Markdown dialect validity, preservation, and relation integrity. Use for md, smd, qmd, and myst files containing research objects such as claims, evidence, questions, protocols, requests, typed claims, ids, and relations. Produces actionable findings without modifying files by default.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 895
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
- 96 / 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
- Scope
- Vendor-specific: built around one product. Reviews MIRA annotations, Stencila's public markdown annotation spec
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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