paper-writing-bench SKILL.md skillA

paper-writing-bench 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-writing-bench@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-writing-bench/SKILL.md
Versions recorded
1
Latest version
git:20260409.c2de31b, committed Apr 9, 2026
Size
5,625 bytes
Repository stars
697
License
a license file GitHub does not identify

Reverse-engineer raw materials (Sparse idea, Dense idea, experimental log) from an existing AI research paper to build a benchmark case for evaluating paper-writing pipelines. Replicates the PaperWritingBench dataset construction procedure from arXiv:2604.05018 §3 / App. C. TRIGGER when the user asks to "build a benchmark case from this paper", "reverse-engineer raw materials", or "evaluate my pipeline against PaperWritingBench".

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

# PaperWritingBench (§3)

Faithful implementation of the PaperWritingBench dataset construction
procedure from PaperOrchestra (Song et al., 2026, arXiv:2604.05018, §3 and
App. C, F.2).

The original benchmark contains 200 papers (100 CVPR 2025 + 100 ICLR 2025).
For each paper, the authors reverse-engineer the (I, E) tuple by stripping
narrative flow from the original PDF using the three prompts in App. F.2.
You can use this skill to reverse-engineer your own benchmark cases from
any paper PDF.

## What this skill does

Given an existing AI research paper (PDF or markdown extract), produce:

- `idea.md` (Sparse variant) — high-level concept note, no math, no
  experimental results
- `idea.md` (Dense variant) — detailed technical proposal with LaTeX
  equations and variable definitions, but still no experimental results
- `experimental_log.md` — exhaustive raw experimental setup, numeric data,
  and qualitative observations, with all narrative references stripped

These three files form a complete (I, E) input pair for the
paper-orchestra pipeline. You can then run the pipeline and compare its
output to the original paper using `paper-autoraters`.

## Inputs
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ar9av/paperorchestra/paper-writing-bench@sha256:c4f90aaae0ba10ad

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_k6ooqjd2opeujaza.svg)](https://markdownregistry.com/a/art_k6ooqjd2opeujaza)

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 5,625 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 (5625 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_k6ooqjd2opeujaza
GET https://markdownregistry.com/api/v1/resolve?ref=ar9av/paperorchestra/paper-writing-bench
GET https://markdownregistry.com/api/v1/blob/c4f90aaae0ba10ad6a89bdccdd7d9e732c2fa03743f9d2976d258689c0e98ea8

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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