Esmfold2
JimLiu/science-skills
Biohub ESMFold2 / ESMFold2-Fast all-atom co-folding (Candido et al.
Guidance for querying ML model leaderboards and benchmarks (MTEB, HuggingFace, embedding benchmarks).
Install Mteb Leaderboard
$ npx skills add lazyFrogLOL/Harness_Engineering --skill mteb-leaderboard -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering mteb-leaderboard --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mteb-leaderboard .claude/skills/mteb-leaderboard && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "mteb-leaderboard" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/mteb-leaderboard into .claude/skills/mteb-leaderboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mteb-leaderboard", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/mteb-leaderboardType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill mteb-leaderboard -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering mteb-leaderboard --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/mteb-leaderboard .agents/skills/mteb-leaderboard && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mteb-leaderboard" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/mteb-leaderboard into .agents/skills/mteb-leaderboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mteb-leaderboard", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill mteb-leaderboard -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering mteb-leaderboard --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/mteb-leaderboard .cursor/skills/mteb-leaderboard && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "mteb-leaderboard" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/mteb-leaderboard into .cursor/skills/mteb-leaderboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mteb-leaderboard", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/lazyFrogLOL/Harness_Engineering.git --path skills/mteb-leaderboard--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill mteb-leaderboard -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering mteb-leaderboard --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/mteb-leaderboard .gemini/skills/mteb-leaderboard && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "mteb-leaderboard" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/mteb-leaderboard into .gemini/skills/mteb-leaderboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mteb-leaderboard", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install lazyFrogLOL/Harness_Engineering mteb-leaderboardInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add lazyFrogLOL/Harness_Engineering --skill mteb-leaderboard -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/mteb-leaderboard .github/skills/mteb-leaderboard && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "mteb-leaderboard" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/mteb-leaderboard into .github/skills/mteb-leaderboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mteb-leaderboard", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill mteb-leaderboard -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering mteb-leaderboard --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/mteb-leaderboard .opencode/skills/mteb-leaderboard && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "mteb-leaderboard" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/mteb-leaderboard into .opencode/skills/mteb-leaderboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mteb-leaderboard", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
mteb-leaderboard- GitHub stars
- 128
- Token cost
- ~2.1k tokens
- SKILL.md length
- 1,064 words
- Files
- 1
- Skills in repo
- 32
- Repo updated
- First seen
- Licence
- None found
At a glance
Guidance for querying ML model leaderboards and benchmarks (MTEB, HuggingFace, embedding benchmarks).
- Works in 9 steps: Identify Authoritative Data Sources → Verify Temporal Alignment → Access Live Leaderboard Data → …
- Tasks that involve Embeddings
- SKILL.md covers When to Use This Skill, Core Approach, Verification Strategies and Common Pitfalls to Avoid, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Mteb Leaderboard is an agent skill from lazyFrogLOL/Harness_Engineering. Guidance for querying ML model leaderboards and benchmarks (MTEB, HuggingFace, embedding benchmarks). This skill applies when tasks involve finding top-performing models on specific benchmarks, compar
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Embeddings, Model hubs and datasets and Machine learning. It works with Hugging Face and GitHub.
When your agent uses it
- Tasks that involve Embeddings
- Tasks that involve Model hubs and datasets
- Tasks that involve Machine learning
Example prompts
- “/mteb-leaderboard”
Workflow steps
9 steps, taken from the step headings in SKILL.md.
- Identify Authoritative Data Sources
- Verify Temporal Alignment
- Access Live Leaderboard Data
- Validate Model Eligibility
- Relying on Outdated Academic Papers
- Giving Up When Web Scraping Fails
- Making Assumptions About Model Format
- Premature Conclusion Without Verification
- Ignoring Temporal Requirements
What it can do on your machine
Read from SKILL.md and the folder at commit cae3b25. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Mteb Leaderboard loads about 2.1k tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 1,064 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,064 words (~2,062 tokens).
“This skill provides guidance for accurately querying machine learning model leaderboards and benchmarks, particularly the Massive Text Embedding Benchmark (MTEB) and related embedding leaderboards.”
- name
- mteb-leaderboard
Files
Just SKILL.md in skills/mteb-leaderboard of lazyFrogLOL/Harness_Engineering.
Open the folder on GitHubat commit cae3b25
Compare with similar skills
Mteb Leaderboard next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Mteb Leaderboard this skilllazyFrogLOL/Harness_Engineering | 128 | — | ~2.1k | Automated safety check: Pass | None | |
| Esmfold2JimLiu/science-skills | 228 | 4 repos | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Discover MLrand/cc-polymath | 181 | — | ~574 | Automated safety check: Pass | MIT | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Publish Tracelab Huggingfaceuw-syfi/TraceLab | 142 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Xybrid Initxybrid-ai/xybrid | 469 | — | ~3k | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Mteb Leaderboard
What does Mteb Leaderboard do?
Guidance for querying ML model leaderboards and benchmarks (MTEB, HuggingFace, embedding benchmarks). Mteb Leaderboard is an agent skill from lazyFrogLOL/Harness_Engineering. Guidance for querying ML model leaderboards and benchmarks (MTEB, HuggingFace, embedding benchmarks).
When should I use Mteb Leaderboard?
Mteb Leaderboard fits situations like: tasks that involve Embeddings; tasks that involve Model hubs and datasets; tasks that involve Machine learning.
How do I install Mteb Leaderboard in Claude Code?
Run `npx skills add lazyFrogLOL/Harness_Engineering --skill mteb-leaderboard -a claude-code`. Or copy the skill folder (skills/mteb-leaderboard in lazyFrogLOL/Harness_Engineering) into .claude/skills/mteb-leaderboard in your project. Claude Code loads it when a task matches its description.
How do I install Mteb Leaderboard in Codex?
Run `npx skills add lazyFrogLOL/Harness_Engineering --skill mteb-leaderboard -a codex`. Or copy the skill folder (skills/mteb-leaderboard in lazyFrogLOL/Harness_Engineering) into .agents/skills/mteb-leaderboard in your project. Codex loads it when a task matches its description.
Can I use Mteb Leaderboard in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lazyFrogLOL/Harness_Engineering --skill mteb-leaderboard -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mteb-leaderboard, .gemini/skills/mteb-leaderboard, .github/skills/mteb-leaderboard and .opencode/skills/mteb-leaderboard in your project.
What does Mteb Leaderboard need to run?
SKILL.md names no scripts, command-line tools or credentials: Mteb Leaderboard is instructions for the agent only.
Does Mteb Leaderboard access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Mteb Leaderboard safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Mteb Leaderboard use?
No licence was found for Mteb Leaderboard or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Mteb Leaderboard use?
About 2.1k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Mteb Leaderboard?
Skills that share tags, products or a category with Mteb Leaderboard: Esmfold2 (JimLiu/science-skills, 228 stars), Discover ML (rand/cc-polymath, 181 stars), SageMaker Serving Image Selection (huggingface/skills, 11k stars) and Publish Tracelab Huggingface (uw-syfi/TraceLab, 142 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Mteb Leaderboard?
lazyFrogLOL (a GitHub user) maintains it in lazyFrogLOL/Harness_Engineering, which has 128 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on May 18, 2026.
Source: lazyFrogLOL/Harness_Engineering on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.