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.
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.
curl -O https://raw.githubusercontent.com/skyllwt/AutoSci/main/.claude/skills/paper-draft/SKILL.mdgit clone --depth 1 https://github.com/skyllwt/AutoSciWrote 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.
[](https://agentmods.dev/skills/skyllwt/autosci/paper-draft)<a href="https://agentmods.dev/skills/skyllwt/autosci/paper-draft"><img src="https://agentmods.dev/badge/skills/skyllwt/autosci/paper-draft/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.
<a href="https://agentmods.dev/skills/skyllwt/autosci/paper-draft"><img src="https://agentmods.dev/badge/skills/skyllwt/autosci/paper-draft.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00031 | $0.03500 |
| Opus 5.5 | $0.00012 | $0.01400 |
| Sonnet 5.5 | $0.00006 | $0.00700 |
| Haiku 4.5 | $0.00003 | $0.00350 |
Grade A, and why
paper-draft 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.
How it starts
The opening of the file, as written. The whole thing — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/paper-draft
Draft a complete LaTeX paper from the PAPER_PLAN.md generated by /paper-plan. Write section by section: each section draws material from wiki ideas/methods/experiments/papers/concepts, generates LaTeX + figures + tables. BibTeX is fetched from DBLP/CrossRef (following citation-verification). Apply de-AI polish after completion (following academic-writing). Optional per-section Review LLM review. Output a compilable paper/ directory.
Inputs
plan: path to PAPER_PLAN.md (e.g.wiki/outputs/paper-plan-sparse-lora-2026-04-08.md)--review(optional): enable per-section Review LLM review--sections(optional): write only specified sections (e.g.--sections 3,4writes only Method + Experiments); used for incremental writing
Outputs
paper/directory (under the wiki project root):paper/main.tex— master file (includes each section)paper/sections/introduction.texpaper/sections/related_work.texpaper/sections/method.texpaper/sections/experiments.texpaper/sections/conclusion.texpaper/sections/appendix.tex(if applicable)paper/figures/— generated figures (PDF/PNG)paper/tables/— standalone table files (optional)paper/math_commands.tex— shared math symbol definitionspaper/references.bib— verified BibTeX entries
wiki/log.md— appended log entry
Wiki Interaction
Reads
wiki/outputs/paper-plan-*.md— PAPER_PLAN (section outline, evidence map, figure plan, citation plan)wiki/ideas/*.md— Hypothesis, Novelty argument, Approach sketch, Motivation, Risks, Lessons learnedwiki/methods/*.md— Mechanism, Procedure, Assumptions, Tradeoff profile (supports Method writing)wiki/experiments/*.md— Results, Analysis, key_result, metrics datawiki/papers/*.md— Method, Results, Related (as citation content and baseline reference)wiki/concepts/*.md— Definition, Intuition, Variants, Comparison (supports Method writing)wiki/topics/*.md— Overview, Timeline, SOTA tracker, Open problems (supports Introduction context)wiki/people/*.md— author names and institutions (citation formatting)wiki/graph/edges.jsonl— relationship graph (build argumentative logic chain)wiki/graph/open_questions.md— known limitations (write Limitations and Future Work).claude/skills/shared-references/academic-writing.md— writing standards.claude/skills/shared-references/citation-verification.md— citation discipline
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.
- 2mo ago First seen · 330 lines · 31 tokens per session scan A a4f05ccfce53
paper-draft is a skill published in the GitHub repository skyllwt/AutoSci (1,706 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 3,500 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.
paper-draft compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| paper-draftskyllwt/AutoSci | Skill | 1.7k | 1mo ago | MIT | A | 31 | Claude Code |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | today | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |