llm-eval-harness

llm-eval-harness is an LLM evaluation & observability skill for AI agents, published by daymade in the claude-code-skills repository on GitHub. Skillspace rates llm-eval-harness D (58/100) and it passed the safety scan; the rating is based on static analysis only.

Test/evaluate any LLM behind an OpenAI- or Anthropic-compatible endpoint: availability (max_tokens-aware), request fidelity (does system prompt/tools/history REACH the model, or does the gateway silently drop it), speed (TTFT+tok/s), concurrency (before a workshop), Anthropic protocol compliance, quality regression, vendor bug reports, deployment gates, resident canaries. Reach for this BEFORE hand-rolling a curl loop against any LLM endpoint — that instinct is the trap: it skips the N=10 sampling, Connection:close, and env-var key handling this bakes in. Use when someone tests/benchmarks/测评/压测 a model/endpoint, onboards a provider, decides whether to switch or temporarily fail over to an alternate channel (e.g. outage or quota exhaustion), writes a supported-models list, debugs "model ignores system prompt", or verifies a tok/s claim. Triggers on "benchmark this model", "测一下这个模型/渠道/API", "接入新模型先测一下", "system prompt 不生效", "这个渠道能不能用/稳不稳", "临时切换过去顶一阵子" — even without "eval", even wrapped…

Grade
D
Quality
58 / 100
Safety
Passed
GitHub stars
1,389

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 GitHubdaymade/claude-code-skills

Our review

Architecture
78 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • 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

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