ml-paper-writing

ml-paper-writing is a skill for Claude Code, Codex from OpenLAIR/dr-claw. It costs 65 tokens per session (8,534 once invoked), scanned A, original, no licence file.

A guide to writing research papers about machine learning and artificial intelligence for academic conferences. It covers paper structure, citations, LaTeX templates, reviews, and final submission preparation.

In plain words
What is it for?
Use it to draft papers for conferences such as NeurIPS, ICML, ICLR, ACL, AAAI, and COLM, then prepare the final accepted version.
Why use it?
It helps turn work from a research codebase into a clear paper and reduces mistakes in citations and submission formatting.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to draft papers for conferences such as NeurIPS, ICML, ICLR, ACL, AAAI, and COLM, then prepare the final accepted version.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openlair/dr-claw/ml-paper-writing
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 OpenLAIR/dr-claw --skill ml-paper-writing
Clone the repo
git clone --depth 1 https://github.com/OpenLAIR/dr-claw

Made for: Claude Code, Codex.

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/openlair/dr-claw/ml-paper-writing/github.svg)](https://agentmods.dev/skills/openlair/dr-claw/ml-paper-writing)
Your own site
<a href="https://agentmods.dev/skills/openlair/dr-claw/ml-paper-writing"><img src="https://agentmods.dev/badge/skills/openlair/dr-claw/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/openlair/dr-claw/ml-paper-writing"><img src="https://agentmods.dev/badge/skills/openlair/dr-claw/ml-paper-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,534 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 64
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium Data Exfiltration · line 934
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin unknown 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 $0.00065 $0.08534
Opus 5 $0.00032 $0.04267
Sonnet 5 $0.00013 $0.01707
Haiku 4.5 $0.00006 $0.00853

Measured 7d ago against content hash 7fa9a57248fc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ml-paper-writing scanned grade A with 1 finding 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 7d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

response = requests.get(
skills/ml-paper-writing/SKILL.md · 938 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

55 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. 7d ago First seen · 938 lines · 65 tokens per session scan A 7fa9a57248fc

Subscribe to this mod's changes

ml-paper-writing is a skill published in the GitHub repository OpenLAIR/dr-claw (1,091 stars, last pushed today), with no licence file. It adds 65 tokens to every session and 8,534 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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