tpcp-basics
tpcp-basics is a Model training & evaluation skill for AI agents, published by mad-lab-fau in the gaitmap repository on GitHub. Skillspace rates tpcp-basics D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Use when implementing or reviewing core tpcp classes, especially Algorithms and Pipelines, parameter definitions, action methods, result attributes, cloning, and nested parameter handling.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 90
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 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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