evaluating-llms-harness SKILL.md skillA
This file is byte-identical to the first copy the registry indexed, one of 3 indexed copies. Same content hash, so the same checks give both the same grade.
evaluating-llms-harness from yichen-zju/claude-for-research is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add yichen-zju/claude-for-research/evaluating-llms-harness@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- yichen-zju/claude-for-research
- Path
claude/skills/lm-evaluation-harness/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Oct 14, 2026
- Size
- 11,895 bytes
- Repository stars
- 10
- License
- none declared
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.
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
# lm-evaluation-harness - LLM Benchmarking ## Quick start lm-evaluation-harness evaluates LLMs across 60+ academic benchmarks using standardized prompts and metrics. **Installation**: ```bash pip install lm-eval ``` **Evaluate any HuggingFace model**: ```bash lm_eval --model hf \ --model_args pretrained=meta-llama/Llama-2-7b-hf \ --tasks mmlu,gsm8k,hellaswag \ --device cuda:0 \ --batch_size 8 ``` **View available tasks**: ```bash lm_eval --tasks list ``` ## Common workflows ### Workflow 1: Standard benchmark evaluation Evaluate model on core benchmarks (MMLU, GSM8K, HumanEval). Copy this checklist: ``` Benchmark Evaluation: - [ ] Step 1: Choose benchmark suite - [ ] Step 2: Configure model - [ ] Step 3: Run evaluation - [ ] Step 4: Analyze results ``` **Step 1: Choose benchmark suite** **Core reasoning benchmarks**: - **MMLU** (Massive Multitask Language Understanding) - 57 subjects, multiple choice - **GSM8K** - Grade school math word problems - **HellaSwag** - Common sense reasoning - **TruthfulQA** - Truthfulness and factuality - **ARC** (AI2 Reasoning Challenge) - Science questions **Code benchmarks**: …
Read the whole file at its exact version.
How to install
mdr add yichen-zju/claude-for-research/evaluating-llms-harness@sha256:891b77bc09118393The line at the top of this page pins the label v1.0.0, 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.
[](https://markdownregistry.com/a/art_6h2udd7gmohaqkcm)
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Versions
The registry has recorded 1 version of this file, committed on Oct 14, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11895 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
yichen-zju/claude-for-research · 10 stars · license none declared · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_6h2udd7gmohaqkcm GET https://markdownregistry.com/api/v1/resolve?ref=yichen-zju/claude-for-research/evaluating-llms-harness GET https://markdownregistry.com/api/v1/blob/891b77bc09118393f9bd1235404ee3f0cf412f56e57dc4b454e2fbd8fd507bc3
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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