paper-orchestra

paper-orchestra is a skill for Codex from appleweiping/WEIPING_WIKI. It costs 143 tokens per session (2,913 once invoked), scanned A, original, MIT.

An orchestration tool that coordinates several research-paper agents to turn an idea, experiment log, LaTeX template, conference rules, and optional figures into a complete paper. LaTeX is a text-based system commonly used to typeset academic documents.

In plain words
What is it for?
Use it to produce a submission package containing a LaTeX manuscript and compiled PDF, with supporting files and an audit trail.
Why use it?
It brings outlining, figure creation, literature review, section writing, and compilation into one paper-writing workflow.

Skill for Codex

Written for Codex: installed under .codex/. Also seen: mentions subagents; mentions Claude Code; built for cline.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python skills/section-writing-agent/scripts/orphan_cite_gate.py workspace/drafts/paper.tex workspace/refs.bib.

Good fit Use it to produce a submission package containing a LaTeX manuscript and compiled PDF, with supporting files and an audit trail.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI
agentmods
npx agentmods add skills/appleweiping/weiping_wiki/paper-orchestra

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for paper-orchestra

README.md
[![agentmods](https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/paper-orchestra/github.svg)](https://agentmods.dev/skills/appleweiping/weiping_wiki/paper-orchestra)
Your own site
<a href="https://agentmods.dev/skills/appleweiping/weiping_wiki/paper-orchestra"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/paper-orchestra/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for paper-orchestra

Your own site · 80×15
<a href="https://agentmods.dev/skills/appleweiping/weiping_wiki/paper-orchestra"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/paper-orchestra.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 143 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,913 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 5 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 120
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 134
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 137
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 147
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 173
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00143 $0.02913
Opus 5 $0.00072 $0.01456
Sonnet 5 $0.00029 $0.00583
Haiku 4.5 $0.00014 $0.00291

Measured 6d ago against content hash db87ce7c41cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

paper-orchestra scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

The scan reads SKILL.md. This mod also ships 7 executable files (scripts/anti_leakage_check.py, scripts/build_pdf.py, scripts/check_idea_density.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

.codex/skills/paper-orchestra/SKILL.md · 264 lines

How it starts

The opening of the file, as written. The whole thing — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.

paper-orchestra (Orchestrator)

Top-level driver for the PaperOrchestra pipeline. Read this document and follow the steps below. The detailed prompts and rules live in each sub-skill's SKILL.md and references/ directories — you (the host agent) will load them as you go.

Source paper: Song et al., PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing, arXiv:2604.05018, 2026. https://arxiv.org/pdf/2604.05018

What this skill produces

A complete submission package P = (paper.tex, paper.pdf) written into workspace/final/, plus a full audit trail under workspace/ (outline, figures, refs, drafts, refinement worklog, provenance snapshot).

Inputs (the (I, E, T, G, F) tuple from the paper)

The workspace MUST contain:

File Symbol Required Description
workspace/inputs/idea.md I yes Idea Summary (Sparse or Dense variant — see references/io-contract.md)
workspace/inputs/experimental_log.md E yes Experimental Log: setup, raw numeric data, qualitative observations
workspace/inputs/template.tex T yes LaTeX template for the target conference (with \section{...} commands)
workspace/inputs/conference_guidelines.md G yes Formatting rules, page limit, mandatory sections
workspace/inputs/figures/ F no Optional pre-existing figures. If empty, the plotting agent generates everything.

scripts/init_workspace.py will scaffold this layout. scripts/validate_inputs.py will check it before the pipeline runs.

Pipeline (read references/pipeline.md for the full diagram)

Step 1: Outline           ──▶  outline.json                       (1 LLM call)
Step 2: Plotting     ─┐
                      ├──▶  figures/*.png + captions.json         (~20-30 calls)
Step 3: Lit Review   ─┘                                           (~20-30 calls)
                          intro_relwork.tex + refs.bib

Step 4: Section Writing  ──▶  drafts/paper.tex                    (1 LLM call)
Step 5: Content Refine   ──▶  final/paper.tex + final/paper.pdf   (~5-7 calls, ~3 iters)

Read the full file on GitHub · 264 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 264 lines · 143 tokens per session scan A db87ce7c41cb

Subscribe to this mod's changes

paper-orchestra is a skill published in the GitHub repository appleweiping/WEIPING_WIKI (122 stars, last pushed 14d ago), licensed MIT. It adds 143 tokens to every session and 2,913 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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