research
research is a Model training & evaluation skill for AI agents, published by katopz in the katgpt-rs repository on GitHub. Skillspace rates research D (55/100) and it passed the safety scan; the rating is based on static analysis only.
Research workflow for distilling ML/AI papers into modelless inference primitives, freeze/thaw runtime patterns, and latent-space operations across the katgpt-rs / riir-ai / riir-chain / riir-neuron-db / riir-train repo quintet. Use when reading arxiv papers, deciding which repo a paper belongs in, creating .research/ notes or .plans/ files, implementing modelless inference primitives, or routing training-vs-inference insights. Enforces the 5-repo commercial strategy (public engine / private runtime / private chain / private neuron-db / private training), modelless-first constraint, latent-to-latent preference, and freeze/thaw-over-fine-tuning rule.
- Grade
- D
- Quality
- 55 / 100
- Safety
- Passed
- GitHub stars
- 76
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
- 77 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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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