paper-autoraters SKILL.md skillA

paper-autoraters from ar9av/paperorchestra is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add ar9av/paperorchestra/paper-autoraters@git:20260409.c2de31b

Pins git:20260409.c2de31b in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
ar9av/paperorchestra
Path
skills/paper-autoraters/SKILL.md
Versions recorded
1
Latest version
git:20260409.c2de31b, committed Apr 9, 2026
Size
6,595 bytes
Repository stars
697
License
a license file GitHub does not identify

Run the four paper-quality autoraters from PaperOrchestra (arXiv:2604.05018, App. F.3) — Citation F1 (P0/P1 partition + Precision/Recall/F1), Literature Review Quality (6-axis 0-100 with anti-inflation rules), SxS Overall Paper Quality (side-by-side), and SxS Literature Review Quality (side-by-side). TRIGGER when the user asks to "score this paper draft", "evaluate against the benchmark", "compare two papers", or "run the autoraters".

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

# Paper Autoraters (App. F.3)

Faithful implementation of the four LLM-as-judge autoraters used in
PaperOrchestra (Song et al., 2026, arXiv:2604.05018, §5 and App. F.3).

These are the metrics the paper uses to demonstrate that PaperOrchestra
beats single-agent and AI-Scientist-v2 baselines. Use them to:

1. Score a generated paper against a ground-truth paper.
2. Compare two paper-writing pipelines side-by-side.
3. Validate your own host-agent execution of the paper-orchestra pipeline.

## The four autoraters

| Autorater | What it does | Inputs | Output |
|---|---|---|---|
| **Citation F1 — P0/P1 partition** | Partitions reference list into P0 (must-cite) and P1 (good-to-cite) given the paper text | one paper text + its references list | JSON `{ref_num: "P0"\|"P1"}` |
| **Literature Review Quality** | 6-axis 0-100 score for Intro+Related Work, with anti-inflation hard caps | one paper PDF/text + reference avg citation count | JSON with `axis_scores`, `penalties`, `summary`, `overall_score` |
| **SxS Overall Paper Quality** | Holistic side-by-side preference judgment | two papers (PDF or text) | JSON with `winner` ∈ {paper_1, paper_2, tie} |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ar9av/paperorchestra/paper-autoraters@sha256:6f0f5604aa96d3b4

The line at the top of this page pins the label git:20260409.c2de31b, 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 badge

[![mdr](https://markdownregistry.com/badge/art_bt4cv27ue7wiqpay.svg)](https://markdownregistry.com/a/art_bt4cv27ue7wiqpay)

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

Versions

The registry has recorded 1 version of this file, committed on Apr 9, 2026.

versioncommittedcommitsizeaudit
git:20260409.c2de31b latest2026-04-09 c2de31b 6,595 BA 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 (6595 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

ar9av/paperorchestra · 697 stars · license a license file GitHub does not identify · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_bt4cv27ue7wiqpay
GET https://markdownregistry.com/api/v1/resolve?ref=ar9av/paperorchestra/paper-autoraters
GET https://markdownregistry.com/api/v1/blob/6f0f5604aa96d3b4623276d74025a9535f27d6f43d1f56874f47571cd990b6cd

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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