evaluating-llms-harness
evaluating-llms-harness is a skill in Orchestra-Research/AI-Research-SKILLs, last changed 20 Nov 2025. It can touch credentials, run shell commands, reach the network and name web addresses — read the findings before installing. Our pattern check flagged nothing at commit 773a529 on 27 Oct 2026.
Pattern check: nothing flagged · commit 773a529 · 27 Oct 2026
InstallEvaluates 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.
- Licence
- MIT
- Repo stars
- 14.0k
- Folder last changed
- 20 Nov 2025 (opens in a new tab)
- Publisher
- Orchestra-Research
- Files
- 5 files
- Checked
- 773a529 (opens in a new tab) · 27 Oct 2026
Install
Each tab says whether it installs commit 773a529, the one we checked, or the latest version.
No tab for your agent? Use Any agent for OpenCode, Goose, Windsurf (Devin Desktop), Zed, Roo Code, Factory Droid, Junie, Amp and Antigravity, and Claude Code for Cline. Kiro needs the folder copied by hand.
Pinned to commit 773a529, the one we checked.
From your project's root folder:
tmp="$(mktemp -d)" &&
git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/Orchestra-Research/AI-Research-SKILLs.git "$tmp" &&
git -C "$tmp" fetch -q --depth 1 origin 773a52944ba4747a18bd4ae9ade53fff041adcbc &&
git -C "$tmp" sparse-checkout set -- 11-evaluation/lm-evaluation-harness &&
git -C "$tmp" checkout -q 773a52944ba4747a18bd4ae9ade53fff041adcbc &&
mkdir -p .claude/skills &&
mkdir .claude/skills/evaluating-llms-harness &&
cp -R "$tmp"/11-evaluation/lm-evaluation-harness/. .claude/skills/evaluating-llms-harness/ &&
rm -rf "$tmp"If Claude Code was already running and this created the skills folder, run /reload-skills.
Pinned to commit 773a529, the one we checked.
Skills in the Claude apps belong to your account rather than to a project.
Make evaluating-llms-harness.zip, with the skill folder at the top level:
tmp="$(mktemp -d)" &&
git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/Orchestra-Research/AI-Research-SKILLs.git "$tmp" &&
git -C "$tmp" fetch -q --depth 1 origin 773a52944ba4747a18bd4ae9ade53fff041adcbc &&
git -C "$tmp" sparse-checkout set -- 11-evaluation/lm-evaluation-harness &&
git -C "$tmp" checkout -q 773a52944ba4747a18bd4ae9ade53fff041adcbc &&
out="$(mktemp -d)" &&
cp -R "$tmp"/11-evaluation/lm-evaluation-harness "$out"/evaluating-llms-harness &&
(cd "$out" && zip -qr - evaluating-llms-harness) > evaluating-llms-harness.zip &&
rm -rf "$tmp" "$out"In Claude, open Customize > Skills, select +, then + Create skill > Upload a skill, and choose evaluating-llms-harness.zip.
On Free, Pro and Max plans, turn on Code execution and file creation (Create and edit files in newer settings) under Settings > Capabilities.
Pinned to commit 773a529, the one we checked.
From your project's root folder:
tmp="$(mktemp -d)" &&
git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/Orchestra-Research/AI-Research-SKILLs.git "$tmp" &&
git -C "$tmp" fetch -q --depth 1 origin 773a52944ba4747a18bd4ae9ade53fff041adcbc &&
git -C "$tmp" sparse-checkout set -- 11-evaluation/lm-evaluation-harness &&
git -C "$tmp" checkout -q 773a52944ba4747a18bd4ae9ade53fff041adcbc &&
mkdir -p .agents/skills &&
mkdir .agents/skills/evaluating-llms-harness &&
cp -R "$tmp"/11-evaluation/lm-evaluation-harness/. .agents/skills/evaluating-llms-harness/ &&
rm -rf "$tmp"Codex picks up new skills on its own; restart it if this one does not appear.
Pinned to commit 773a529, the one we checked.
From your project's root folder:
tmp="$(mktemp -d)" &&
git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/Orchestra-Research/AI-Research-SKILLs.git "$tmp" &&
git -C "$tmp" fetch -q --depth 1 origin 773a52944ba4747a18bd4ae9ade53fff041adcbc &&
git -C "$tmp" sparse-checkout set -- 11-evaluation/lm-evaluation-harness &&
git -C "$tmp" checkout -q 773a52944ba4747a18bd4ae9ade53fff041adcbc &&
mkdir -p .cursor/skills &&
mkdir .cursor/skills/evaluating-llms-harness &&
cp -R "$tmp"/11-evaluation/lm-evaluation-harness/. .cursor/skills/evaluating-llms-harness/ &&
rm -rf "$tmp"Pinned to commit 773a529, the one we checked.
From your project's root folder:
tmp="$(mktemp -d)" &&
git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/Orchestra-Research/AI-Research-SKILLs.git "$tmp" &&
git -C "$tmp" fetch -q --depth 1 origin 773a52944ba4747a18bd4ae9ade53fff041adcbc &&
git -C "$tmp" sparse-checkout set -- 11-evaluation/lm-evaluation-harness &&
git -C "$tmp" checkout -q 773a52944ba4747a18bd4ae9ade53fff041adcbc &&
mkdir -p .github/skills &&
mkdir .github/skills/evaluating-llms-harness &&
cp -R "$tmp"/11-evaluation/lm-evaluation-harness/. .github/skills/evaluating-llms-harness/ &&
rm -rf "$tmp"In a running Copilot CLI session, run /skills reload.
Or install it with gh skill, which also installs the commit we checked. Needs GitHub CLI 2.90 or later.
gh skill install Orchestra-Research/AI-Research-SKILLs 11-evaluation/lm-evaluation-harness/SKILL.md@773a52944ba4747a18bd4ae9ade53fff041adcbc --agent github-copilot --scope projectPinned to commit 773a529, the one we checked.
From your project's root folder:
tmp="$(mktemp -d)" &&
git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/Orchestra-Research/AI-Research-SKILLs.git "$tmp" &&
git -C "$tmp" fetch -q --depth 1 origin 773a52944ba4747a18bd4ae9ade53fff041adcbc &&
git -C "$tmp" sparse-checkout set -- 11-evaluation/lm-evaluation-harness &&
git -C "$tmp" checkout -q 773a52944ba4747a18bd4ae9ade53fff041adcbc &&
mkdir -p .gemini/skills &&
mkdir .gemini/skills/evaluating-llms-harness &&
cp -R "$tmp"/11-evaluation/lm-evaluation-harness/. .gemini/skills/evaluating-llms-harness/ &&
rm -rf "$tmp"In a running session, run /skills reload.
Or use Gemini CLI’s own installer. Installs the latest version, not the one we checked.
gemini skills install https://github.com/Orchestra-Research/AI-Research-SKILLs.git --path 11-evaluation/lm-evaluation-harness --scope workspacePinned to commit 773a529, the one we checked.
Codex, Cursor, Copilot, VS Code, Gemini CLI, OpenCode, Goose, Amp and Zed all read .agents/skills; Claude Code and Kiro list only their own folders.
From your project's root folder:
tmp="$(mktemp -d)" &&
git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/Orchestra-Research/AI-Research-SKILLs.git "$tmp" &&
git -C "$tmp" fetch -q --depth 1 origin 773a52944ba4747a18bd4ae9ade53fff041adcbc &&
git -C "$tmp" sparse-checkout set -- 11-evaluation/lm-evaluation-harness &&
git -C "$tmp" checkout -q 773a52944ba4747a18bd4ae9ade53fff041adcbc &&
mkdir -p .agents/skills &&
mkdir .agents/skills/evaluating-llms-harness &&
cp -R "$tmp"/11-evaluation/lm-evaluation-harness/. .agents/skills/evaluating-llms-harness/ &&
rm -rf "$tmp"Or use the skills CLI from skills.sh. Installs the latest version, not the one we checked. The skills CLI reports installs to skills.sh unless you set DISABLE_TELEMETRY=1.
npx skills@1.7.4 add Orchestra-Research/AI-Research-SKILLs --skill evaluating-llms-harnessWhat it can touch
From the files and frontmatter at commit 773a529. This is how much a skill can do, not whether it is risky.
What it can touch: Shell, network or credentials
Runs shell commands
Its instructions or files give the agent commands to run on your computer.
Reaches the network
It sends or fetches data over the internet, for example with curl, an HTTP library or a package install.
Names web addresses
It mentions outside web addresses the agent may visit. We list them but don't follow them.
Touches credentials
It reads, asks for or contains keys, tokens, passwords or similar secrets.
references/api-evaluation.md:417 · references/api-evaluation.md:418
Pattern check
Pattern check: nothing flagged · commit 773a529 · 27 Oct 2026
We checked every text file in this skill, at commit 773a529 on 27 Oct 2026, against 45 published patterns such as download-and-run commands, hidden text and credential access. We don't run the skill, we don't read the web pages it points to, and we can't judge everything its instructions might lead an agent to do. In published tests, pattern checks like this one missed most malicious skills. Read the skill before you install it — especially anything it asks you to download or run.
How the check worksReport an incorrect finding
Outside links we did not follow
- https://github.com/EleutherAI/lm-evaluation-harness
- https://github.com/EleutherAI/lm-evaluation-harness/tree/main/docs
- https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- https://api.openai.com/v1
- https://api.anthropic.com
- https://platform.openai.com/docs/api-reference
- https://docs.anthropic.com/claude/reference
- https://huggingface.co/docs/accelerate/
- https://docs.vllm.ai/
- https://docs.nvidia.com/nemo-framework/
Format check
Each agent reads SKILL.md a little differently. We check the file against each one's published rules; we don't run the skill in any agent.
Agent Skills specFails
The open format from agentskills.io, held to what the strictest agents enforce, so one folder loads everywhere.
- Error
The name "evaluating-llms-harness" doesn't match its folder "lm-evaluation-harness". The spec requires them to match. N4
Fix: Set name: lm-evaluation-harness, or rename the folder to evaluating-llms-harness.
- Warning
The frontmatter uses [ ] or { } values. Most agents accept them, but the spec's validator (skills-ref) rejects the file. F4
Fix: Write lists as "- item" lines and maps as indented key: value lines, without anchors or tags.
- Warning
Fields outside the spec: version, author, tags and dependencies. Uploads to the Claude apps and API, and the spec's validator, reject the file; most agents ignore these fields. O1
Fix: Delete them for a portable skill, or keep them if you only target the agents that read them.
- Note
Reference files over 100 lines with no table of contents at the top: references/api-evaluation.md (491 lines), references/benchmark-guide.md (489 lines), references/custom-tasks.md (603 lines) and references/distributed-eval.md (520 lines). B5
Fix: Add a short list of the sections at the top of each.
- Error
Claude CodePasses
Claude Code reads its own extra fields, ignores unknown ones, and still loads a skill whose frontmatter is broken, without its fields.
- Note
The name "evaluating-llms-harness" doesn't match its folder "lm-evaluation-harness". Claude Code shows the skill as /evaluating-llms-harness, and the folder name also invokes it. N4
Fix: Set name: lm-evaluation-harness, or rename the folder to evaluating-llms-harness.
- Note
Claude Code ignores fields it doesn't know: version, author, tags and dependencies. O1
Fix: Check the spelling against Claude Code's field list, or delete them.
- Note
Reference files over 100 lines with no table of contents at the top: references/api-evaluation.md (491 lines), references/benchmark-guide.md (489 lines), references/custom-tasks.md (603 lines) and references/distributed-eval.md (520 lines). B5
Fix: Add a short list of the sections at the top of each.
- Note
Claude apps & API uploadFails
Uploading to claude.ai or the Claude API, or packaging with Anthropic's script, accepts only the six spec fields and stops on anything else.
- Error
The name "evaluating-llms-harness" doesn't match its folder "lm-evaluation-harness". claude.ai refuses an upload whose folder name doesn't match the skill name. N4
Fix: Set name: lm-evaluation-harness, or rename the folder to evaluating-llms-harness.
- Error
Upload and packaging fail on fields outside the spec: version, author, tags and dependencies. O1
Fix: Delete them, and keep your own data under metadata as text values.
- Note
The description is 309 characters. The claude.ai Help Center says 200 at most, though Anthropic's API docs and validator allow 1,024. D4
Fix: If the claude.ai upload refuses it, trim the description to 200 characters.
- Note
Reference files over 100 lines with no table of contents at the top: references/api-evaluation.md (491 lines), references/benchmark-guide.md (489 lines), references/custom-tasks.md (603 lines) and references/distributed-eval.md (520 lines). B5
Fix: Add a short list of the sections at the top of each.
- Error
OpenAI (Codex & API)Passes with warnings
Codex finds SKILL.md by its exact name and needs a description; OpenAI's Skills API checks the frontmatter against the spec and caps uploads.
- Warning
The name "evaluating-llms-harness" doesn't match its folder "lm-evaluation-harness". OpenAI's own upload example uses a differently named folder, but the spec it follows says they must match. N4
Fix: Set name: lm-evaluation-harness, or rename the folder to evaluating-llms-harness.
- Warning
Fields outside the spec: version, author, tags and dependencies. Codex ignores them; OpenAI doesn't say whether its upload accepts them. O1
Fix: Delete them, or move your own data under metadata as text values.
- Warning
VS Code & CopilotPasses with warnings
VS Code reads skills one folder below .github/skills, .claude/skills or .agents/skills and falls back to the folder name when the name is missing or differs; GitHub's Copilot docs require the exact name SKILL.md.
- Warning
The name "evaluating-llms-harness" doesn't match its folder "lm-evaluation-harness". VS Code uses the folder name, lm-evaluation-harness, instead. N4
Fix: Set name: lm-evaluation-harness, or rename the folder to evaluating-llms-harness.
- Note
VS Code ignores fields it doesn't support: version, author, tags and dependencies. O1
Fix: Delete them unless another agent you target reads them.
- Warning
SKILL.md
Files
Copies
The same folder appears in 1 other repo. We list it once.
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