oz-platform

oz-platform is an LLM evaluation & observability skill for AI agents, published by warpdotdev in the warp repository on GitHub. Skillspace rates oz-platform F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Use Warp's REST API and command line to run, configure, and inspect Oz cloud agents

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
64,998

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
91 / 100
Maturity
Structured: ships references or scripts
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
  • mentions secrets in text

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

Also published in 1 other repo

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.