ternlight

ternlight is a RAG & retrieval skill for AI agents, published by SaschaHeyer in the gen-ai-livestream repository on GitHub. Skillspace rates ternlight D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Use this skill when adding on-device semantic search, FAQ matching, deduplication, clustering, or RAG reranking to a JavaScript or TypeScript app with no server, no API key, and no runtime model download. Covers the @ternlight/base and @ternlight/mini WASM sentence-embedding packages, the embed / cosineSim / similar API, indexing a corpus once and searching it, and the Vite and webpack bundler setup for the browser build. Works in Node, browsers, Cloudflare Workers, Vercel Edge, Deno, and Bun.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
187

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.

View source on GitHubSaschaHeyer/gen-ai-livestream

Our review

Architecture
92 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

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

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