outline-agent SKILL.md skillA

outline-agent 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/outline-agent@git:20260602.770a879

Pins git:20260602.770a879 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
ar9av/paperorchestra
Path
skills/outline-agent/SKILL.md
Versions recorded
2
Latest version
git:20260602.770a879, committed Jun 2, 2026
First version recorded
Apr 9, 2026
Size
6,299 bytes
Repository stars
697
License
a license file GitHub does not identify

Step 1 of the PaperOrchestra pipeline (arXiv:2604.05018). Convert (idea.md, experimental_log.md, template.tex, conference_guidelines.md) into a strict JSON outline containing a plotting plan, literature search plan (Intro + Related Work), and section-level writing plan with citation hints. TRIGGER when the orchestrator delegates Step 1 or when the user asks to "outline a paper from raw materials" or "generate the paper structure".

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

# Outline Agent (Step 1)

Faithful implementation of the Outline Agent from PaperOrchestra
(Song et al., 2026, arXiv:2604.05018, App. F.1, pp. 40–44).

**Cost: 1 LLM call.**

## Your task

Read four input files from the workspace and produce a single JSON object at
`workspace/outline.json` with three top-level keys:

- `plotting_plan` — array of figure objects
- `intro_related_work_plan` — object with `introduction_strategy` and `related_work_strategy`
- `section_plan` — array of section objects, each with `section_title` and `subsections[]`

## How to do it

1. **Read the verbatim prompt at `references/prompt.md`.** This is the exact
   Outline Agent system prompt from the paper. Use it as your system message.
2. **Prepend the Anti-Leakage Prompt** from
   `../paper-orchestra/references/anti-leakage-prompt.md`.
3. **Read the four input files**:
   - `workspace/inputs/idea.md`
   - `workspace/inputs/experimental_log.md`
   - `workspace/inputs/template.tex`
   - `workspace/inputs/conference_guidelines.md`
4. **Synthesize across all four** — the global instruction in the prompt is
   "Do not analyze inputs in isolation. You must synthesize information across
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ar9av/paperorchestra/outline-agent@sha256:75937d82d0910098

The line at the top of this page pins the label git:20260602.770a879, 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_mvqnbr5jgaabfymh.svg)](https://markdownregistry.com/a/art_mvqnbr5jgaabfymh)

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

Versions

The registry has recorded 2 versions of this file, between Apr 9, 2026 and Jun 2, 2026, about one every 54 days.

versioncommittedcommitsizeaudit
git:20260602.770a879 latest2026-06-02 770a879 6,299 BA view · diff
git:20260409.c2de31b2026-04-09 c2de31b 5,350 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 (6299 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_mvqnbr5jgaabfymh
GET https://markdownregistry.com/api/v1/resolve?ref=ar9av/paperorchestra/outline-agent
GET https://markdownregistry.com/api/v1/blob/75937d82d09100982c00ca38c461c03a91074e4aedd08c31f081804bc9feae18

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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