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prompt-regression SKILL.md skillA

prompt-regression 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/prompt-regression@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/06-prompt-regression/SKILL.md
Versions recorded: 1
Latest version: git:20260708.2151def, committed Jul 8, 2026
Size: 11,330 bytes
Repository stars: 1,054
License: Apache-2.0

Use when the user has changed a prompt (system prompt, RAG template, agent instruction, etc.) and wants to know whether the candidate is better or worse than the baseline. Also use when the user mentions prompt A/B testing, prompt comparison, prompt optimization validation, "did my prompt change help," or prompt regression testing. Outputs per-dimension win rates with statistical significance using OpenJudge PairwiseAnalyzer.

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 conclusion about which prompt is better WITHOUT bootstrap 95% CI reported.
NO candidate declared "better" WITHOUT position-debiased (swap-aggregate) comparison.
NO comparison with fewer than 10 samples per axis — CI is too wide to be meaningful.
</HARD-GATE>

# Prompt Regression

Compare two prompts head-to-head and determine, with statistical rigor, whether
the candidate is better, worse, or tied on each evaluation dimension.

## When to Activate

- You changed the system prompt and want to verify it's actually better
- You're iterating on RAG answer templates
- You're optimizing agent step-by-step instructions
- You want data to support a prompt change decision

## Checklist

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

1. **Load and analyze prompts** — diff the baseline vs candidate
2. **Derive comparison dimensions** — from the prompt changes + task type
3. **Select graders per dimension** — pairwise, judge, or rule
4. **Run position-debiased comparison** — swap-aggregate to eliminate order bias
5. **Compute statistics** — win rates + bootstrap 95% CI per dimension
6. **Present results** — per-dimension verdict with confidence intervals
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add agentscope-ai/openjudge/prompt-regression@sha256:beb1e5d3213952e6

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_zwvyw3axkb24vdvu.svg)](https://markdownregistry.com/a/art_zwvyw3axkb24vdvu)

4 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	11,330 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 (11330 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 · 1,054 stars · license Apache-2.0 · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_zwvyw3axkb24vdvu
GET https://markdownregistry.com/api/v1/resolve?ref=agentscope-ai/openjudge/prompt-regression
GET https://markdownregistry.com/api/v1/blob/beb1e5d3213952e6adbd01c73b22b75c93cc303e9d848c62aee0d3634ac15439

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.

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