mira-annotation
mira-annotation is an Academic writing & papers skill for AI agents, published by stencila in the stencila repository on GitHub. Skillspace rates mira-annotation D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Annotate Markdown documents with MIRA research objects and source-local relations. Use for md, smd, qmd, and myst files when identifying claims, evidence, questions, protocols, requests, typed claims, and relation attributes while preserving the original Markdown flavor and author wording. Not for general copyediting, prose rewriting, or extracting a separate knowledge graph without annotating the source.
- Grade
- D
- Quality
- 68 / 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
- 100 / 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.