subwave-llm-bench

subwave-llm-bench is an LLM evaluation & observability skill for AI agents, published by perminder-klair in the subwave repository on GitHub. Skillspace rates subwave-llm-bench D (66/100) and the safety scan flagged it for review; the rating is based on static analysis only.

Benchmark and compare LLM models for SUB/WAVE's on-air calls — track picks, segments, listener requests, DJ scripts, banter, and programme beats — in both candidate-pool and agent modes, using controller/scripts/llm-bench (the matrix harness) or the legacy picker-only controller/scripts/picker-test.mjs. Use this skill whenever the user wants to assess, benchmark, compare, or test which LLM model to run the station on — phrases like "which model should I use", "benchmark the picker / the DJ / this model", "test these models", "is <model> good enough for the radio", "compare the ollama models", "will a small model work", "run llm-bench", "run picker-test", or when diagnosing slow/failing djAgentPick / djAgentSegment / generate* calls and the model choice is suspect. Trigger it even if the user doesn't name a harness — any request to evaluate model reliability or choose a model for SUB/WAVE belongs here. This skill only measures and recommends; it does NOT change the live station's…

Grade
D
Quality
66 / 100
Safety
Needs review
GitHub stars
582

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, so go by its current files.

View source on GitHubperminder-klair/subwave

Our review

Architecture
84 / 100
Maturity
Structured: ships references or scripts
Security scan
Medium-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • 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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