animal-category-mapping
animal-category-mapping is a Model training & evaluation skill for AI agents, published by agentmorris in the agentmorrispublic repository on GitHub. Skillspace rates animal-category-mapping D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Build a best-effort CSV that maps one wildlife/camera-trap dataset's category names (source) onto another's (target), where both category lists are given as COCO-format .json files, so the source dataset can be used for quantitative evaluation of a model trained on the target categories. Use when asked to map, align, or crosswalk animal/species categories between two labeled datasets, or to produce a source-to-target category mapping CSV.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 39
Unproven: rated by static analysis only, not yet compared head-to-head.
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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 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
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- 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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