resqlite-experiment
resqlite-experiment is a Model training & evaluation skill for AI agents, published by danReynolds in the resqlite repository on GitHub. Skillspace rates resqlite-experiment D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Running a performance experiment on the resqlite codebase. Use this skill whenever work involves adding or modifying files under experiments/, adding an entry to experiments/README.md, or making code changes explicitly framed as "experiment NNN" or "trying X as a perf optimization". Also trigger when the user says "run an experiment", "benchmark this change", "add a new experiment", or references an experiment number like "experiment 071". This skill enforces the repo's one-commit-per-experiment-with-benchmark convention that the Update Docs Data pipeline depends on.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 22
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
- 93 / 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.