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AutoSci: Skill for Claude Code

.claude/skills/paper-plan/SKILL.md

paper-plan is a skill for Claude Code from skyllwt/AutoSci. It costs 29 tokens per session (4,171 once invoked), scanned A, original, MIT.

A research-writing tool that turns a connected set of validated research ideas and evidence into a structured paper outline. It plans sections, figures, and citations for venues such as ICLR, NeurIPS, and IEEE.

In plain words
What is it for?
Use it to plan a machine-learning or computer-science paper from existing research notes, including its narrative, section order, figures, and citations.
Why use it?
It removes the need to manually connect experiments, claims, and paper sections. A review step also checks whether the planned story is convincing.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: reads .claude/ paths; mentions Claude Code.

This is skyllwt/AutoSci's own configuration. It tells Claude Code how to work on AutoSci itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything AutoSci configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 tools/research_wiki.py slug "<working-title>".

not rated 1.7krepo 1mo ago A scan SkillSpector: pass 29 tokens original MIT
View source ↗ skyllwt/AutoSci
About the project

AutoSci is an AI research platform organized around a wiki, with an agent that supports stages of scientific work such as reading, experimentation, writing, and retaining knowledge across projects. It is for people building or using AI-assisted research workflows, with Claude Code, Codex, and OpenCode adaptations available. The catalogue add-ons extend those agent-specific workflows.

skyllwt/AutoSci · 1,706 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to skyllwt/AutoSci. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/skyllwt/AutoSci/main/.claude/skills/paper-plan/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/skyllwt/AutoSci

Made for: Claude Code.

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/skyllwt/autosci/paper-plan/github.svg)](https://agentmods.dev/skills/skyllwt/autosci/paper-plan)
Your own site
<a href="https://agentmods.dev/skills/skyllwt/autosci/paper-plan"><img src="https://agentmods.dev/badge/skills/skyllwt/autosci/paper-plan/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-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/skyllwt/autosci/paper-plan"><img src="https://agentmods.dev/badge/skills/skyllwt/autosci/paper-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,171 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 pass 7 Sept 2026
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 $0.00029 $0.04171
Opus 5.5 $0.00012 $0.01668
Sonnet 5.5 $0.00006 $0.00834
Haiku 4.5 $0.00003 $0.00417

Measured 2mo ago against content hash ffeb06a89767, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 2mo 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.

.claude/skills/paper-plan/SKILL.md · 400 lines

How it starts

The opening of the file, as written. The whole thing — 400 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/paper-plan

Compile a paper outline from the wiki's idea graph. Input target ideas (status: validated or in-progress with succeeded experiments), specify the target venue, compile an evidence map from the wiki → determine narrative structure → generate a section outline + figure plan + citation plan. Review LLM review is a mandatory step (acting as area chair to assess outline persuasiveness). Output PAPER_PLAN.md to wiki/outputs/.

Key distinction: the outline is idea-graph-driven — each section exists because it supports an idea (or its evidence/methods), not because paper convention requires that section.

Inputs

  • ideas: list of target idea slugs (space-separated)
    • each idea should have status: validated or be in_progress with at least one succeeded experiment
    • if proposed or invalidated ideas are included, warn but continue
  • --venue (required): target venue, determines page limit and format requirements
    • supported: ICLR / NeurIPS / ICML / ACL / CVPR / IEEE
  • --title (optional): working title; if omitted, generated from target ideas

Outputs

  • wiki/outputs/paper-plan-{slug}-{date}.md — complete paper plan (PAPER_PLAN.md)
  • wiki/graph/edges.jsonl — new derived_from edges (plan → source ideas/papers)
  • wiki/graph/context_brief.md — rebuilt
  • wiki/log.md — appended log entry
  • PAPER_PLAN_REPORT (printed to terminal) — plan summary

Wiki Interaction

Reads

  • wiki/ideas/*.md — Hypothesis, Motivation, Approach sketch, Novelty argument, status, novelty_score, target_venue, linked_experiments, origin_gaps
  • wiki/experiments/*.md — supporting experiments (linked via linked_idea); results, metrics, key_result
  • wiki/methods/*.md — methods referenced by the idea's Approach sketch (Mechanism, Procedure, source_papers)
  • wiki/papers/*.md — evidence source papers (Method, Results, Related)
  • wiki/concepts/*.md — concepts the idea's origin_gaps points to (Definition, Variants, Comparison)
  • wiki/topics/*.md — topics the idea's origin_gaps points to (Overview, Open problems)
  • wiki/graph/context_brief.md — global context
  • wiki/graph/open_questions.md — knowledge gaps (annotate paper limitations)
  • wiki/graph/edges.jsonl — relationship graph (build narrative logic chain)
  • .claude/skills/shared-references/academic-writing.md — writing principles
  • .claude/skills/shared-references/citation-verification.md — citation discipline

Read the full file on GitHub · 400 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. 2mo ago First seen · 400 lines · 29 tokens per session scan A ffeb06a89767

Subscribe to this mod's changes

paper-plan is a skill published in the GitHub repository skyllwt/AutoSci (1,706 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 4,171 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.

ResearchWriting and docs
Related

paper-plan compared with skills from other repositories

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