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ml-paper-writing

ml-paper-writing is a skill for Claude Code from synthetic-sciences/openscience. It costs 110 tokens per session (1,755 once invoked), scanned A, original, Apache-2.0.

A guide to writing machine-learning research papers for major academic conferences in their required LaTeX templates. It turns tracked experiments, comparisons, and ablation tests into claims supported by evidence.

In plain words
What is it for?
Use it to draft or revise an ML conference paper, connect each claim to a table or figure, and report baselines, variation, random seeds, and computing resources honestly.
Why use it?
It prevents unsupported contributions, unfair comparisons, and headline numbers that cannot be traced to an experiment. It also helps keep the manuscript compatible with conference formatting rules.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

not rated 4.0krepo +43 changed 1mo ago A scan 110 tokens original Apache-2.0

Good fit Use it to draft or revise an ML conference paper, connect each claim to a table or figure, and report baselines, variation, random seeds, and computing resources honestly.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/synthetic-sciences/openscience/ml-paper-writing
View source ↗ synthetic-sciences/openscience openscience.sh
About the project

synthetic-sciences/openscience is an AI workbench that carries out scientific research by reading papers, forming hypotheses, writing and running code, conducting experiments, analyzing results, and preparing reports. Researchers use it for work in machine learning, biology, physics, and chemistry with remote or local models. Catalogue add-ons extend its scientific workflows through skills and instructions.

synthetic-sciences/openscience · 4,025 stars · on GitHub · openscience.sh

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 synthetic-sciences/openscience --skill ml-paper-writing
Clone the repo
git clone --depth 1 https://github.com/synthetic-sciences/openscience

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 ml-paper-writing

README.md
[![agentmods](https://agentmods.dev/badge/skills/synthetic-sciences/openscience/ml-paper-writing/github.svg)](https://agentmods.dev/skills/synthetic-sciences/openscience/ml-paper-writing)
Your own site
<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/ml-paper-writing"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/ml-paper-writing/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 ml-paper-writing

Your own site · 80×15
<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/ml-paper-writing"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/ml-paper-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,755 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.
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 $0.00110 $0.01755
Opus 5.5 $0.00044 $0.00702
Sonnet 5.5 $0.00022 $0.00351
Haiku 4.5 $0.00011 $0.00176

Measured 1mo ago against content hash 7ab3791b9b0e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ml-paper-writing 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.

backend/cli/skills/core/ml-paper-writing/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ML paper writing

An ML paper makes two or three claims and earns each with an experiment a reviewer could not have predicted the outcome of. Reviewers at these venues read for the claims first, then hunt for the ablation that would have falsified them. Write the paper the way they read it.

Non-negotiables

  1. Write the .tex in the venue's template, in the working folder, and link it. Copy the class and style files from assets/templates/<venue>/ beside the draft; keep the template's \documentclass, packages and anonymization mode. A conference class encodes the rules the submission is checked against.
  2. Claims are numbered and paid for. The introduction ends with the contributions, each one a claim ("X improves Y by Z under W"), and each claim maps to a table or figure that tests it. A contribution without an experiment is a sentence to delete.
  3. Numbers come from runs. Read them with the experiments tool or from the result files; never from memory or the paper's earlier draft. State seeds, variance and compute for every headline number.
  4. Baselines are strong and fair. Same data, same budget, tuned as carefully as the method. A win over an untuned baseline is the finding reviewers reject first.
  5. Related work positions, it does not list. Group prior work by the idea it shares with yours and say what is different, with citations resolved by the citations skill.
  6. Limitations are specific. "Only evaluated on English" and "requires 8× the memory" are limitations; "future work could explore more datasets" is not.

Workflow

  • Understand the repo and results; confirm the contribution in one paragraph.
  • Choose the venue and copy its template; fix the page budget.
  • Build the claims-to-evidence table.
  • Draft: method, experiments, results, related work, introduction, abstract.
  • Figures and tables (figures skill); citations (citations skill).
  • Compile, check the venue checklist, read the PDF as a reviewer.

Read the full file on GitHub · 122 lines

Files

What ships with it

50 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 · +9 lines 7ab3791b9b0e
  2. 1mo ago First seen · 113 lines · 110 tokens per session scan A c9b82deb05c7

Subscribe to this mod's changes

ml-paper-writing is a skill published in the GitHub repository synthetic-sciences/openscience (4,025 stars, last pushed today), licensed Apache-2.0. It adds 110 tokens to every session and 1,755 once invoked, about $0.0004 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 2026-09-14.

LLMScientificWriting and docsagentaibunclicoreml
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