Genai Prompt Eval
timothywarner-org/claude-code
Score a Python generative-AI app's outputs on groundedness, relevance, coherence, and safety before it ships.
AI quality judge that scores agent responses 0-10 across helpfulness, accuracy, completeness, and clarity.
Install LLM Judge
$ npx skills add Atmosphere/atmosphere --skill llm-judge -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Atmosphere/atmosphere llm-judge --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/Atmosphere/atmosphere.git skills-src && mkdir -p .claude/skills && cp -r skills-src/modules/skills/src/main/resources/META-INF/skills/llm-judge .claude/skills/llm-judge && 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 "llm-judge" agent skill from https://github.com/Atmosphere/atmosphere/tree/main/modules/skills/src/main/resources/META-INF/skills/llm-judge into .claude/skills/llm-judge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-judge", 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/Atmosphere/atmosphere/tree/main/modules/skills/src/main/resources/META-INF/skills/llm-judgeType 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 Atmosphere/atmosphere --skill llm-judge -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Atmosphere/atmosphere llm-judge --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Atmosphere/atmosphere.git skills-src && mkdir -p .agents/skills && cp -r skills-src/modules/skills/src/main/resources/META-INF/skills/llm-judge .agents/skills/llm-judge && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "llm-judge" agent skill from https://github.com/Atmosphere/atmosphere/tree/main/modules/skills/src/main/resources/META-INF/skills/llm-judge into .agents/skills/llm-judge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-judge", 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 Atmosphere/atmosphere --skill llm-judge -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Atmosphere/atmosphere llm-judge --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Atmosphere/atmosphere.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/modules/skills/src/main/resources/META-INF/skills/llm-judge .cursor/skills/llm-judge && 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 "llm-judge" agent skill from https://github.com/Atmosphere/atmosphere/tree/main/modules/skills/src/main/resources/META-INF/skills/llm-judge into .cursor/skills/llm-judge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-judge", 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/Atmosphere/atmosphere.git --path modules/skills/src/main/resources/META-INF/skills/llm-judge--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 Atmosphere/atmosphere --skill llm-judge -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Atmosphere/atmosphere llm-judge --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Atmosphere/atmosphere.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/modules/skills/src/main/resources/META-INF/skills/llm-judge .gemini/skills/llm-judge && 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 "llm-judge" agent skill from https://github.com/Atmosphere/atmosphere/tree/main/modules/skills/src/main/resources/META-INF/skills/llm-judge into .gemini/skills/llm-judge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-judge", 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 Atmosphere/atmosphere llm-judgeInstalls 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 Atmosphere/atmosphere --skill llm-judge -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Atmosphere/atmosphere.git skills-src && mkdir -p .github/skills && cp -r skills-src/modules/skills/src/main/resources/META-INF/skills/llm-judge .github/skills/llm-judge && 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 "llm-judge" agent skill from https://github.com/Atmosphere/atmosphere/tree/main/modules/skills/src/main/resources/META-INF/skills/llm-judge into .github/skills/llm-judge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-judge", 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 Atmosphere/atmosphere --skill llm-judge -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Atmosphere/atmosphere llm-judge --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Atmosphere/atmosphere.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/modules/skills/src/main/resources/META-INF/skills/llm-judge .opencode/skills/llm-judge && 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 "llm-judge" agent skill from https://github.com/Atmosphere/atmosphere/tree/main/modules/skills/src/main/resources/META-INF/skills/llm-judge into .opencode/skills/llm-judge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-judge", 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
llm-judge- GitHub stars
- 3.8k
- Token cost
- ~333 tokens
- SKILL.md length
- 131 words
- Files
- 1
- Skills in repo
- 20
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
AI quality judge that scores agent responses 0-10 across helpfulness, accuracy, completeness, and clarity.
- Evaluating multi-agent output
- SKILL.md covers Skills, Output Format and Guardrails
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Implementing LLM-as-judge quality gates
What it does
LLM Judge is an agent skill from Atmosphere/atmosphere. AI quality judge that scores agent responses 0-10 across helpfulness, accuracy, completeness, and clarity. Use when evaluating multi-agent output or implementing LLM-as-judge quality gates.
Its SKILL.md is about 330 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 LLM evaluation and Quality gates. The repository describes itself as: Portable AI agent runtime for the JVM. One @Agent class runs on Spring AI, LangChain4j, Anthropic, or 9 more behind one SPI. Token streaming, tool calls, human approvals, and… The licence is Apache-2.0.
When your agent uses it
- Evaluating multi-agent output
- Implementing LLM-as-judge quality gates
Example prompts
- “/llm-judge”
What it can do on your machine
Read from SKILL.md and the folder at commit 13671cf. 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 (its code samples are json).
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
LLM Judge loads about 333 tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 131 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
The full file from Atmosphere/atmosphere at commit 13671cf, republished under its Apache-2.0 licence (© Atmosphere). 131 words, ~333 tokens.
Download SKILL.mdSave it as
.claude/skills/llm-judge/SKILL.md (or your agent's skills folder).- name
- llm-judge
- description
- AI quality judge that scores agent responses 0-10 across helpfulness, accuracy, completeness, and clarity. Use when evaluating multi-agent output or implementing LLM-as-judge quality gates.
- metadata.category
- evaluation
- metadata.tags
- judge, evaluation, scoring, quality, multi-agent
LLM Result Evaluator
You are an AI quality judge evaluating agent responses in a multi-agent coordination system.
Skills
evaluate
Score the agent response on a scale of 0-10 across four dimensions:
- Helpfulness: Does the response address the original request?
- Accuracy: Are the facts and claims verifiable and correct?
- Completeness: Does it cover the key aspects without major omissions?
- Clarity: Is the response well-structured and easy to understand?
Output Format
Respond with ONLY a JSON object:
{"score": N, "reason": "brief one-sentence explanation"}Where N is an integer from 0 to 10.
Guardrails
- Never score above 8 without strong justification
- Score 0 for empty, error, or completely off-topic responses
- Score 3-5 for partial or vague responses
- Score 6-8 for solid, useful responses
- Score 9-10 reserved for exceptional, comprehensive responses
- Be consistent: same quality should always get the same score
© Atmosphere, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in modules/skills/src/main/resources/META-INF/skills/llm-judge of Atmosphere/atmosphere.
Open the folder on GitHubat commit 13671cf
Compare with similar skills
LLM Judge 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 |
|---|---|---|---|---|---|---|
| LLM Judge this skillAtmosphere/atmosphere | 3.8k | — | ~333 | Automated safety check: Pass | Apache-2.0 | |
| Genai Prompt Evaltimothywarner-org/claude-code | 224 | — | ~696 | Automated safety check: Notes | MIT | |
| Audit Sft Data Qualitytokenbender/agent-guides | 367 | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Caveman Experiment ManagerJuliusBrussee/caveman | 111k | 1 repos | ~975 | Automated safety check: Pass | Apache-2.0 | |
| Aeon Skill EvalsBankrBot/skills | 1.2k | — | ~660 | Automated safety check: Pass | None | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT |
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tokenbender/agent-guides
Audit supervised fine-tuning datasets against the behavior and task they are meant to teach.
Caveman Experiment Manager
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Reads the state and results of Caveman Cloud experiments and reports one recommendation or a block, without changing an experiment's lifecycle itself.
Aeon Skill Evals
BankrBot/skills
Validate the output of any installed skill against an assertion manifest — word counts, required patterns, forbidden phrases, required sections, source citation.
LLM Benchmarking with lm-evaluation-harness
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
- Official
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Runs evaluations of Hugging Face Hub models on local hardware with inspect-ai or lighteval, and helps choose between vLLM, Transformers and accelerate backends.
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Categories
Questions about LLM Judge
What does LLM Judge do?
AI quality judge that scores agent responses 0-10 across helpfulness, accuracy, completeness, and clarity. LLM Judge is an agent skill from Atmosphere/atmosphere. AI quality judge that scores agent responses 0-10 across helpfulness, accuracy, completeness, and clarity.
When should I use LLM Judge?
LLM Judge fits situations like: evaluating multi-agent output; implementing LLM-as-judge quality gates.
How do I install LLM Judge in Claude Code?
Run `npx skills add Atmosphere/atmosphere --skill llm-judge -a claude-code`. Or copy the skill folder (modules/skills/src/main/resources/META-INF/skills/llm-judge in Atmosphere/atmosphere) into .claude/skills/llm-judge in your project. Claude Code loads it when a task matches its description.
How do I install LLM Judge in Codex?
Run `npx skills add Atmosphere/atmosphere --skill llm-judge -a codex`. Or copy the skill folder (modules/skills/src/main/resources/META-INF/skills/llm-judge in Atmosphere/atmosphere) into .agents/skills/llm-judge in your project. Codex loads it when a task matches its description.
Can I use LLM Judge 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 Atmosphere/atmosphere --skill llm-judge -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llm-judge, .gemini/skills/llm-judge, .github/skills/llm-judge and .opencode/skills/llm-judge in your project.
What does LLM Judge need to run?
SKILL.md names no scripts, command-line tools or credentials: LLM Judge is instructions for the agent only.
Does LLM Judge 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 LLM Judge 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 LLM Judge use?
LLM Judge is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does LLM Judge use?
About 333 tokens (SKILL.md is roughly 1.3k 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 LLM Judge?
Skills that share tags, products or a category with LLM Judge: Genai Prompt Eval (timothywarner-org/claude-code, 224 stars), Audit Sft Data Quality (tokenbender/agent-guides, 367 stars), Caveman Experiment Manager (JuliusBrussee/caveman, 111k stars) and Aeon Skill Evals (BankrBot/skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains LLM Judge?
Atmosphere (a GitHub organization) maintains it in Atmosphere/atmosphere, which has 3,819 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 9, 2026.
Source: Atmosphere/atmosphere on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.