paper-plan

paper-plan is a skill for Claude Code from llv22/AutoResearchWithEyes. It costs 47 tokens per session (2,441 once invoked), scanned A, original, MIT.

A paper-planning procedure that turns review conclusions and experiment results into a structured research-paper outline.

In plain words
What is it for?
Use it to organize sections, contributions, experiments, figures, tables, reviewer feedback, and venue-specific constraints into a writing plan.
Why use it?
It connects the paper's claims to their supporting evidence and exposes weaknesses before drafting begins.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md.

Part of the auto-research-with-eyes plugin — 10 skills, 5 commands, 2 agents, 1 MCP server shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/llv22/autoresearchwitheyes/paper-plan
Any agent
npx skills add llv22/AutoResearchWithEyes --skill paper-plan
Clone the repo
git clone --depth 1 https://github.com/llv22/AutoResearchWithEyes

Made for: Claude Code.

Or install auto-research-with-eyes, the plugin that ships this one along with the rest of its 10 skills, 5 commands, 2 agents, 1 MCP server.

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-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/llv22/autoresearchwitheyes/paper-plan.svg)](https://agentmods.dev/skills/llv22/autoresearchwitheyes/paper-plan)
Your own site
<a href="https://agentmods.dev/skills/llv22/autoresearchwitheyes/paper-plan"><img src="https://agentmods.dev/badge/skills/llv22/autoresearchwitheyes/paper-plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,441 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00047 $0.02441
Opus 5 $0.00023 $0.01221
Sonnet 5 $0.00009 $0.00488
Haiku 4.5 $0.00005 $0.00244

Measured 6d ago against content hash 3fe286e62da6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

paper-plan 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.

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.

skills/paper-plan/SKILL.md · 253 lines

How it starts

The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Paper Plan: From Review Conclusions to Paper Outline

Generate a structured, section-by-section paper outline from: $ARGUMENTS

Constants

All constants (REVIEWER_MODEL, VENUE, TEMPLATE_DIR) are defined in the project's CLAUDE.md. Read them from there before proceeding. Page limits are venue-dependent — see CLAUDE.md.

Inputs

The skill expects one or more of these in the project directory:

  1. NARRATIVE_REPORT.md or STORY.md — research narrative with claims and evidence
  2. GPT54_AUTO_REVIEW.md — auto-review loop conclusions
  3. Experiment results — JSON files in figures/, screen logs, tables
  4. IDEA_REPORT.md — from idea-discovery pipeline (if applicable)

If none exist, ask the user to describe the paper's contribution in 3-5 sentences.

Workflow

Step 1: Extract Claims and Evidence

Read all available narrative documents and extract:

  1. Core claims (3-5 main contributions)
  2. Evidence for each claim (which experiments, which metrics, which figures)
  3. Known weaknesses (from reviewer feedback)
  4. Suggested framing (from review conclusions)

Build a Claims-Evidence Matrix:

| Claim | Evidence | Status | Section |
|-------|----------|--------|---------|
| [claim 1] | [exp A, metric B] | Supported | §3.2 |
| [claim 2] | [exp C] | Partially supported | §4.1 |

Step 2: Determine Paper Type and Structure

Based on VENUE (from CLAUDE.md) and paper content, classify and select structure.

IMPORTANT: The section count is FLEXIBLE (5-8 sections). Choose what fits the content best. The templates below are starting points, not rigid constraints.

Empirical/Diagnostic paper:

1. Introduction (1.5 pages)
2. Related Work (1 page)
3. Method / Setup (1.5 pages)
4. Experiments (3 pages)
5. Analysis / Discussion (1 page)
6. Conclusion (0.5 pages)

Theory + Experiments paper:

1. Introduction (1.5 pages)
2. Related Work (1 page)
3. Preliminaries & Modeling (1.5 pages)
4. Experiments (1.5 pages)
5. Theory Part A (1.5 pages)
6. Theory Part B (1.5 pages)
7. Conclusion (0.5 pages)
— Total: 9 pages

Theory papers often need 7 sections (splitting theory into estimation + optimization, or setup + analysis). The total page budget MUST sum to the page limit for the target venue (see CLAUDE.md).

Read the full file on GitHub · 253 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 · 253 lines · 47 tokens per session scan A 3fe286e62da6

Subscribe to this mod's changes

paper-plan is a skill published in the GitHub repository llv22/AutoResearchWithEyes (5 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 2,441 once invoked, about $0.0002 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 2026-08-31.

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