l0
l0 is a Model training & evaluation skill for AI agents, published by PolicyEngine in the policyengine-claude repository on GitHub. Skillspace rates l0 D (57/100) and it passed the safety scan; the rating is based on static analysis only.
L0 regularization for neural network sparsification and intelligent sampling - used in survey calibration. Triggers: "L0", "sparsification", "sample selection", "hard concrete", "sparse weights", "household selection", "gate", "survey sparsity", "l0-python"
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 31
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
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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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