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Research Writing Assistant

Listed
norman-bury·vlatest·writing·MIT

Norman-Bury's research-writing-assistant synthesizes data, drafts outlines, and refines prose for academic or professional writing projects.

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 norman-bury/research-writing-skill --skill research-writing-assistant -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

norman-bury

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 9 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.crossref.org, api.semanticscholar.org, arxiv.org, doi.org, eutils.ncbi.nlm.nih.gov….

    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

    repo.anaconda.comundeclaredeutils.ncbi.nlm.nih.govundeclaredpubmed.ncbi.nlm.nih.govundeclaredapi.crossref.orgundeclareddoi.orgundeclaredapi.semanticscholar.orgundeclaredwww.semanticscholar.orgundeclaredexport.arxiv.orgundeclaredwww.w3.orgstandardsarxiv.orgundeclared

    What it found (3 of 12)

    • modules/environment-setup.md:77contacts repo.anaconda.com
      Invoke-WebRequest -Uri "https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe" -OutFile $installer
    • scripts/scholar_search.py:267contacts eutils.ncbi.nlm.nih.gov
      search_url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi"
    • scripts/scholar_search.py:284contacts eutils.ncbi.nlm.nih.gov
      fetch_url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi"

  • 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 norman-bury/articlewriting-skill at 6f7959554b.

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

Commit
6f7959554b
Manifest
SKILL.md
Scanned
46 files, 7,955 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

The Research Writing Assistant skill helps users generate well-researched articles and written content. It can gather information from various sources, synthesize findings into a coherent narrative, and produce drafts suitable for publication or further refinement. The assistant aims to streamline the writing process by handling research and initial drafting tasks.

When to use it

  • Content Creation: Quickly generate draft blog posts or articles on specific topics when you lack time for extensive research.
  • Report Writing: Assist in compiling data and structuring reports, especially those requiring background information gathering.
  • Academic Research Support: Help gather preliminary research materials for academic papers or essays.
  • Briefing Document Generation: Create concise summaries of complex topics for internal briefings or presentations.

Key capabilities

  • Information Gathering: Collects data from various online sources.
  • Content Synthesis: Combines gathered information into a cohesive narrative.
  • Draft Generation: Produces initial drafts of articles and written content.
  • Topic Research: Explores specific topics to provide background context.

Example prompts

  • "Write a draft article about the history of artificial intelligence."
  • "Research and summarize recent developments in renewable energy technologies."
  • "Create a report outlining the key factors contributing to climate change."

Tips & gotchas

The quality of the generated content depends heavily on the clarity and specificity of your prompts. Review and edit the output carefully, as it is intended as a starting point rather than a finished product.