regenerate-model-fixture

regenerate-model-fixture is a Test authoring & frameworks skill for AI agents, published by dxos in the dxos repository on GitHub. Skillspace rates regenerate-model-fixture F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Regenerate cached LLM responses for tests that replay model fixtures. Use when tests fail with "No memoized conversation found for the given prompt", when fixing or adding model-fixture tests, or when the user asks to regenerate or update the LLM conversation cache.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
520

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.

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
High-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • references sensitive credential env
  • reads environment variables

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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