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Ml Paper Writing

Listed
zechenzhangagi·vlatest·writing·MIT

Helps with machine learning, writing as part of agent workflows workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add orchestra-research/ai-research-skills --skill ml-paper-writing -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

zechenzhangagi

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 3 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.crossref.org, export.arxiv.org, media.neurips.cc.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    api.crossref.orgundeclaredexport.arxiv.orgundeclaredmedia.neurips.ccundeclared

    What it found (3 of 4)

    • 20-ml-paper-writing/ml-paper-writing/references/citation-workflow.md:126contacts api.crossref.org
      resp = requests.get(f"https://api.crossref.org/works/{doi}")
    • 20-ml-paper-writing/ml-paper-writing/references/citation-workflow.md:133contacts export.arxiv.org
      f"http://export.arxiv.org/api/query?id_list={arxiv_id}"
    • 20-ml-paper-writing/ml-paper-writing/references/citation-workflow.md:298contacts export.arxiv.org
      f"http://export.arxiv.org/api/query?id_list={paper.arxiv_id}",

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned zechenzhangagi/ai-research-skills at 773a52944b.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
773a52944b
Manifest
20-ml-paper-writing/ml-paper-writing/SKILL.md
Scanned
13 files, 3,956 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill assists in writing machine learning research papers. It can help generate sections of a paper, such as the introduction or related work, and refine existing drafts based on specific instructions. The tool aims to streamline the often tedious process of academic writing for ML researchers.

When to use it

  • You need assistance drafting an introduction section for your machine learning research paper.
  • You want help summarizing relevant papers for a literature review or related work section.
  • You're struggling with writer’s block and need ideas or alternative phrasing for existing text.
  • You have a draft of a paper that you want to refine based on specific feedback (e.g., “make this paragraph more concise”).

Key capabilities

  • Generate introductory sections for ML papers
  • Summarize related research papers
  • Refine and rewrite existing drafts
  • Provide alternative phrasing suggestions

Example prompts

  • "Write an introduction section for a paper on federated learning with differential privacy."
  • "Summarize the key findings of [paper title/link] for inclusion in my related work section."
  • "Rewrite this paragraph to be more concise and impactful: [paragraph text]"

Tips & gotchas

The quality of output depends heavily on the clarity and specificity of your prompts. Providing context, such as the paper's topic or target audience, will yield better results.