devtu-benchmark-harness

devtu-benchmark-harness is a Skill evaluation & testing skill for AI agents, published by mims-harvard in the ToolUniverse repository on GitHub. Skillspace rates devtu-benchmark-harness D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Continuous improvement system for ToolUniverse tools, skills, and plugin. Run benchmarks, diagnose failures, route fixes to devtu skills, retest. Use after skill optimization, tool additions, or as regression check.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
1,681

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 GitHubmims-harvard/ToolUniverse

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

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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