write-paper

write-paper is a skill for Claude Code from QuantumBFS/sci-brain. It costs 19 tokens per session (4,976 once invoked), scanned A, original, MIT.

A set of rules for drafting or revising a scientific manuscript that reports completed experimental, theoretical, or computational results. It includes guidance for figures, prose, citations, and document mechanics.

In plain words
What is it for?
Use it to write a research paper, prepare its figures before the prose, handle citations, and produce the manuscript in the required document format.
Why use it?
It gives researchers a consistent way to turn finished work into a clear paper and avoid common problems in structure, figures, notation, and references.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the sci-brain plugin — 17 skills shipped together

Good fit Use it to write a research paper, prepare its figures before the prose, handle citations, and produce the manuscript in the required document format.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/quantumbfs/sci-brain/write-paper
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.

Any agent
npx skills add QuantumBFS/sci-brain --skill write-paper
Clone the repo
git clone --depth 1 https://github.com/QuantumBFS/sci-brain

Made for: Claude Code.

Or install sci-brain, the plugin that ships this one along with the rest of its 17 skills.

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 write-paper

README.md
[![agentmods](https://agentmods.dev/badge/skills/quantumbfs/sci-brain/write-paper/github.svg)](https://agentmods.dev/skills/quantumbfs/sci-brain/write-paper)
Your own site
<a href="https://agentmods.dev/skills/quantumbfs/sci-brain/write-paper"><img src="https://agentmods.dev/badge/skills/quantumbfs/sci-brain/write-paper/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 write-paper

Your own site · 80×15
<a href="https://agentmods.dev/skills/quantumbfs/sci-brain/write-paper"><img src="https://agentmods.dev/badge/skills/quantumbfs/sci-brain/write-paper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,976 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 $0.00019 $0.04976
Opus 5.5 $0.00008 $0.01990
Sonnet 5.5 $0.00004 $0.00995
Haiku 4.5 $0.00002 $0.00498

Measured 1mo ago against content hash 29e00b45414e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

write-paper 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 1mo 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/write-paper/SKILL.md · 275 lines

How it starts

The opening of the file, as written. The whole thing — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Installed resources

Keep the working directory at the user's project. Resolve this loaded SKILL.md with Path(path).resolve() before locating resources; follow symlinks. Bare helpers/, references/, and template paths are relative to that real skill directory. A path written as skills/<name>/... means the installed <name> skill's directory from the agent's skill catalog, not a path in the user's project. Locate each dependency by its public skill name; copied skills need not be siblings. If a dependency is absent, report the missing skill and install it before that step. Shared writing files are bundled in how-to-write-ideas-report/references/.

Paper Writer

A working-rules guide for writing scientific papers, distilled from John Martinis's Notes on Writing a Scientific Paper and Jan von Delft's Style Guide. The source documents live in references.md and sources/; consult them when this SKILL.md leaves a question open. Beside them sits a model letter that executes these rules — Ho et al., PRL 122, 040603 (2019), see Source material. Imitate the model letter on any open style judgment call.

Scope note. This skill is for real manuscripts — papers reporting completed (or near-complete) experimental, theoretical, or computational results. It is not for the upstream ideas/plan report produced by brainstorm-ideas report mode. If the user has not yet finished the work, push back: a paper requires results.

Use skills/how-to-write-ideas-report/references/writing-workflow.md for KB loading, citation handling, missing references, output formats, and Typst/diagram mechanics. The manuscript-specific rules below override shared defaults when venue templates or figure-first sequencing require it.


The Iron Rules

These seven override everything else.

  1. Figures first, then prose. Plot every figure you intend to publish before writing a single section. Figures are the backbone; the text serves them. If you cannot draw the story in 4–8 figures, you do not yet know the story.
  2. Polish what readers actually read. 95% of readers read only the title, abstract, introduction, figures + captions, and conclusions. These five elements deserve disproportionate iteration. Write them last — but iterate them most.
  3. State main results explicitly. Use at least one sentence per main result that names it as such: "This figure / equation / observation is our (first / second / Nth) main result." Do not assume the reader will identify which sentence is the punchline.
  4. One concept per sentence. If you must break this rule, both concepts must be simple. Long compound sentences with three new ideas are how readers drop out.
  5. Never plot anything in arbitrary units. If you reach for "a.u." on an axis, the axis is wrong; find the right normalization (dimensionless ratio, calibrated scale, or experimental control). "a.u." plots are a known integrity red flag.
  6. Target journal before story. Before proposing story lines, discuss the target venue with the user and download its official author template. If the user deliberately has no target yet, record that choice. Venue constraints shape the narrative, figure count, length, and format.
  7. Iterate the story with the user. Once the figures or figure plan are available and the target venue is known, propose 1–3 plausible story lines for the user to choose, reject, or combine. Do not draft prose until the user has selected the paper's narrative.

Read the full file on GitHub · 275 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago Changed 29e00b45414e
  2. 1mo ago Changed · +2 lines 150dcfc1c621
  3. 1mo ago Changed · +12 lines b70a3fae105e
  4. 1mo ago First seen · 261 lines · 19 tokens per session scan A 33628f16135e

Subscribe to this mod's changes

write-paper is a skill published in the GitHub repository QuantumBFS/sci-brain (101 stars, last pushed 23d ago), licensed MIT. It adds 19 tokens to every session and 4,976 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 2026-09-03.

Related

Other skills, from other repositories

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 tokens

exploratory-data-analysis

Performs bounded, local exploratory analysis of explicitly supported scientific files. Supports redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…

K-Dense-AI/scientific-agent-skills · 83 tokens

matlab

Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 44 tokens

phylogenetics

Builds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene trees, protein…

K-Dense-AI/scientific-agent-skills · 71 tokens

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

presenting-conference-talks

Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script. Use when preparing oral talks, spotlight presentations, or invited talks for ML and systems conferences.

Orchestra-Research/AI-Research-SKILLs · 53 tokens