Home / agentscope-ai / openjudge · GitHub

bootstrap SKILL.md skillA

bootstrap from agentscope-ai/openjudge is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add agentscope-ai/openjudge/bootstrap@git:20260708.2151def

Pins git:20260708.2151def 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/eval_pipeline/08-bootstrap/SKILL.md
Versions recorded: 1
Latest version: git:20260708.2151def, committed Jul 8, 2026
Size: 8,098 bytes
Repository stars: 1,020
License: Apache-2.0

Use when the user has nothing — no traces, no labels, no eval set — and needs to build a v0 evaluation from scratch. Also use when the user says "I need to start evaluating my app but don't know where to begin," "I want to set up eval for a new product," or has just identified failure modes and needs to turn them into principles. Outputs a v0 grader in 30 minutes using OpenJudge SimpleRubricsGenerator, plus a roadmap to reach calibrated evaluation.

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

<HARD-GATE>
NO v0 grader deployed WITHOUT explicitly marking it as uncalibrated.
NO synthetic labels — LLM can generate eval inputs, but labels MUST come from real system output + human judgment.
NO principle without a source label documenting where it came from.
</HARD-GATE>

# Bootstrap

Cold-start an evaluation system when you have nothing. In 30 minutes you get a working
v0 grader and a clear path to a calibrated, trustworthy evaluation.

> **Requires OpenJudge** (`pip install py-openjudge`) for the grader generators
> (`SimpleRubricsGenerator` / `IterativeRubricsGenerator`). The interview, stratification,
> and calibration-roadmap methodology is SDK-independent.

## Checklist

You MUST create a task for each item and complete them in order:

1. **Understand the product** — one-shot interview, not question-by-question
2. **Generate v0 grader** — use OpenJudge SimpleRubricsGenerator
3. **Synthesize eval inputs** — 30 inputs with 60/30/10 stratification
4. **Run v0 evaluation** — GradingRunner with the generated grader
5. **Output roadmap** — exactly how to reach 50 labels → calibrate

## Step 1: Product Interview (One Shot)

Ask the user to describe their system in one go:

```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add agentscope-ai/openjudge/bootstrap@sha256:326e6a52a00b2147

The line at the top of this page pins the label git:20260708.2151def, 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.

Badge

[![mdr](https://markdownregistry.com/badge/art_uwir4qsg5eoe577k.svg)](https://markdownregistry.com/a/art_uwir4qsg5eoe577k)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jul 8, 2026.

version	committed	commit	size	audit
git:20260708.2151def latest	2026-07-08	2151def	8,098 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (8098 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

GitHub

agentscope-ai/openjudge · 1,020 stars · license Apache-2.0 · pushed 2026-10-30 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_uwir4qsg5eoe577k
GET https://markdownregistry.com/api/v1/resolve?ref=agentscope-ai/openjudge/bootstrap
GET https://markdownregistry.com/api/v1/blob/326e6a52a00b21472bbbde7e60f0b06585b98865593572e3b808c9a274aecf26

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.

More from agentscope-ai/openjudge

00-academic-router SKILL.md skill

agentscope-ai/openjudge · skills/academic-eval/00-academic-router/SKILL.md · Use when the user wants help with academic papers or citations but it's unclear which specific workflow fits —…