add-model
add-model is a Model training & evaluation skill for AI agents, published by jonaslandsgesell in the ScoringBench repository on GitHub. Skillspace rates add-model D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Add a new probabilistic regression model to the ScoringBench benchmark. Use this skill whenever the user wants to integrate a new tabular probabilistic-regression model into ScoringBench — even if they just say "add X model", "integrate X", "support X", or "wrap X for the benchmark". Creates the ProbabilisticWrapper subclass, registers it for lazy import, wires it into the MODELS registry in run_bench_regression.py under a UNIQUE, version-stamped model name, and documents how to run, rank, and submit results. Reads existing similar wrappers for inspiration and optionally fetches a documentation URL to understand the new model's API.
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 87 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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