run-regression

run-regression is a Statistical modelling skill for AI agents, published by velikov-mihail in the edhec-master-class repository on GitHub. Skillspace rates run-regression D (65/100) and it passed the safety scan; the rating is based on static analysis only.

Stage 2. Run a CAPM (and optionally 3-factor) regression on the fetched data. Write coefficients to state. Triggers when state.stage == "fetched".

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
28

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.

View source on GitHubvelikov-mihail/edhec-master-class

Our review

Architecture
94 / 100
Maturity
Basic: a single SKILL.md
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

  • 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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