neohaskell-performance-design-review

neohaskell-performance-design-review is a Backend performance & caching skill for AI agents, published by neohaskell in the NeoHaskell repository on GitHub. Skillspace rates neohaskell-performance-design-review D (65/100) and it passed the safety scan; the rating is based on static analysis only.

Design-time performance review of an approved contract-delta spec, before implementation. Runs when the spec's touches list intersects perf-sensitive capabilities. Produces the committed review record; measurement lives in the nightly bench harness, not here.

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
346

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 GitHubneohaskell/NeoHaskell

Our review

Architecture
94 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Apache-2.0
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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