01-graders-and-pipeline SKILL.md skillA
01-graders-and-pipeline from agentscope-ai/openjudge is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add agentscope-ai/openjudge/01-graders-and-pipeline@git:20260911.d1e0642Pins git:20260911.d1e0642 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- agentscope-ai/openjudge
- Path
skills/openjudge-core/01-graders-and-pipeline/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260911.d1e0642, committed Sep 11, 2026
- Size
- 5,277 bytes
- Repository stars
- 1,054
- License
- Apache-2.0
Build custom LLM evaluation pipelines using the OpenJudge framework. Covers selecting and configuring graders (LLM-based, function-based, agentic), running batch evaluations with GradingRunner, combining scores with aggregators, applying evaluation strategies (voting, average), auto-generating graders from data, and analyzing results (pairwise win rates, statistics, validation metrics). Use when the user wants to evaluate LLM outputs, compare multiple models, design scoring criteria, or build…
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
# OpenJudge Skill
Build evaluation pipelines for LLM applications using the `openjudge` library.
## When to Use This Skill
- User wants to evaluate LLM output quality (correctness, relevance, hallucination, etc.)
- User wants to compare two or more models and rank them
- User wants to design a scoring rubric and automate evaluation
- User wants to analyze evaluation results statistically
- User wants to build a reward model or quality filter
## Sub-documents — Read When Relevant
| Topic | File | Read when… |
|-------|------|------------|
| Grader selection & configuration | `graders.md` | User needs to pick or configure an evaluator |
| Batch evaluation pipeline | `pipeline.md` | User needs to run evaluation over a dataset |
| Auto-generate graders from data | `generator.md` | No rubric yet; generate from labeled examples |
| Analyze & compare results | `analyzer.md` | User wants win rates, statistics, or metrics |
Read the relevant sub-document **before** writing any code.
## Install
```bash
pip install py-openjudge
```
## Architecture Overview
```
Dataset (List[dict])
│
▼
GradingRunner ← orchestrates everything
│
…Read the whole file at its exact version.
How to install
mdr add agentscope-ai/openjudge/01-graders-and-pipeline@sha256:f413a0fac029b1acThe line at the top of this page pins the label git:20260911.d1e0642, 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_f3ghpoj6xyr5l3bx)
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Versions
The registry has recorded 1 version of this file, committed on Sep 11, 2026.
Audit of the latest version
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- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
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- 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
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Source
agentscope-ai/openjudge · 1,054 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_f3ghpoj6xyr5l3bx GET https://markdownregistry.com/api/v1/resolve?ref=agentscope-ai/openjudge/01-graders-and-pipeline GET https://markdownregistry.com/api/v1/blob/f413a0fac029b1ac7a33b9f41900bf25ae3578617d9d779b538e8449b2205018
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.