twmd-embeddings
twmd-embeddings is a RAG & retrieval skill for AI agents, published by frank890417 in the taiwan-md repository on GitHub. Skillspace rates twmd-embeddings D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Rebuild the bge-m3 semantic index via canonical EMBEDDING-PIPELINE — one keystone build feeds reader related-articles (src/data/related) + RAG vectors (public/api/rag). Sovereignty-preserving: embeddings computed in-house (mac-m4max local primary, GPU fleet fallback), never outsourced. TRIGGER when: user says "重建語意索引", "跑 embeddings", "rebuild embeddings", "embedding routine", or routine `twmd-embeddings-nightly` fires.
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 1,107
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 82 / 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
- Category is a classifier prediction; no model has read this skill 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
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