implement-generator
implement-generator is a Bioinformatics & life sciences skill for AI agents, published by evo-design in the proto-language repository on GitHub. Skillspace rates implement-generator D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Implements, modifies, or debugs generators in the proto-language DSL. Covers the full lifecycle: config class, Generator subclass with __init__/assign/sample, input_type-specific patterns (mutation, autoregressive, inverse folding, gradient), decorator registration, export chain, and tests. Use when working with generators, sequence sampling, masked LMs, causal LMs, inverse folding, or mutation strategies.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 153
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
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- 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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