donner-embedding
donner-embedding is a Design patterns & component architecture skill for AI agents, published by jwmcglynn in the donner repository on GitHub. Skillspace rates donner-embedding D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Using Donner as a library from a consumer's point of view — the public SVG DOM API (SVGParser/SVGDocument/SVGElement/Renderer), the runnable examples/ programs, consuming Donner via Bazel module or the generated CMake mirror, Geode embedded (host-owned WebGPU device) mode, and the ECS-is-internal public-API boundary. Use when writing or reviewing code that parses/renders SVGs through the public API, when working in examples/ or examples/cmake_consumer/, when answering "how do I add Donner to my project", when editing docs/getting_started.md or docs/guides/embedding_geode.md, or when a change might leak ECS types (Registry, EntityHandle, EnTT) into a public header.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 29
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
- ISC
- 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
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