llm-eval-harness SKILL.md skillA

llm-eval-harness from daymade/claude-code-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add daymade/claude-code-skills/llm-eval-harness@git:20261031.c952613

Pins git:20261031.c952613 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
daymade/claude-code-skills
Path
llm-eval-harness/SKILL.md
Versions recorded
9
Latest version
git:20261031.c952613, committed Oct 31, 2026
First version recorded
Jul 20, 2026
Size
20,316 bytes
Repository stars
1,519
License
MIT

Tests/benchmarks a third-party LLM endpoint (OpenAI- or Anthropic-compatible): availability, fidelity, speed, concurrency, protocol compliance, quality regression. Use before hand-rolling a curl loop, when onboarding a provider, or debugging "system prompt 不生效" / a tok/s claim — 测评/压测一个模型或渠道. Not for TTS/voice-clone supplier eval (use the audio skill).

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# LLM Eval Harness

## Overview

Give this skill an endpoint (`base_url` + `model` + an API key in an env var) and it
measures whether the endpoint actually works and whether the model is fast, stable,
protocol-correct, and good enough — instead of trusting the vendor's headline numbers.
Choose from the following evaluation dimensions:

| Dimension | Script | Answers |
|---|---|---|
| **Availability** | `scripts/availability_probe.py` | which model IDs work here, with explicit error classification |
| **Request fidelity** | `scripts/fidelity_probe.py` | do system prompt / tools / history actually REACH the model? |
| **Speed** | `scripts/speed_probe.py` | TTFT + sustained decode tok/s, **thinking-aware** |
| **Concurrency / stability** | `scripts/concurrency_probe.py` | success rate, p50/p90 latency, where it breaks |
| **Protocol compliance** | `scripts/protocol_probe.py` | does the Anthropic `thinking` block actually fire when requested, AND does the endpoint accept one already sitting in history on a later turn (N≥10, both are separate checks — see Dimension 3)? |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add daymade/claude-code-skills/llm-eval-harness@sha256:c37e75f798816959

The line at the top of this page pins the label git:20261031.c952613, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_33znqcz6i7yp3uqd.svg)](https://markdownregistry.com/a/art_33znqcz6i7yp3uqd)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 9 versions of this file, between Jul 20, 2026 and Oct 31, 2026, about one every 13 days.

versioncommittedcommitsizeaudit
git:20261031.c952613 latest2026-10-31 c952613 20,316 BA view · diff
git:20261029.39416272026-10-29 3941627 19,760 BA view · diff
git:20261029.e5a85152026-10-29 e5a8515 19,992 BA view · diff
git:20261020.7b7471c2026-10-20 7b7471c 19,768 BA view · diff
git:20260923.943df482026-09-23 943df48 19,015 BA view · diff
git:20260916.72243bd2026-09-16 72243bd 19,752 BA view · diff
git:20260721.20c3adb2026-07-21 20c3adb 19,768 BA view · diff
git:20260721.dda4e142026-07-21 dda4e14 19,397 BA view · diff
git:20260720.8a546962026-07-20 8a54696 16,294 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (20316 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

daymade/claude-code-skills · 1,519 stars · license MIT · pushed 2026-11-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_33znqcz6i7yp3uqd
GET https://markdownregistry.com/api/v1/resolve?ref=daymade/claude-code-skills/llm-eval-harness
GET https://markdownregistry.com/api/v1/blob/c37e75f7988169596ac08bd4637ea73efacd914dbf8d54df933d8a8fcab04367

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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