Norman-bury/research-writing-skill is an agent skill that turns academic paper writing into a tracked, reusable workflow with planning, drafting, reviews, figures, literature work, and LaTeX outputs. It is intended for undergraduate students, graduate students, and early-career researchers working on theses, coursework papers, or initial submissions. Its catalogue entries are the skills, instructions, plugin, and hook that implement the workflow across coding-agent platforms.
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.
npx skills add Norman-bury/research-writing-skill --skill environment-setupgit clone --depth 1 https://github.com/Norman-bury/research-writing-skillWrote 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.
[](https://agentmods.dev/skills/norman-bury/research-writing-skill/environment-setup)<a href="https://agentmods.dev/skills/norman-bury/research-writing-skill/environment-setup"><img src="https://agentmods.dev/badge/skills/norman-bury/research-writing-skill/environment-setup/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.
<a href="https://agentmods.dev/skills/norman-bury/research-writing-skill/environment-setup"><img src="https://agentmods.dev/badge/skills/norman-bury/research-writing-skill/environment-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00020 | $0.01203 |
| Opus 5 | $0.00010 | $0.00602 |
| Sonnet 5 | $0.00004 | $0.00241 |
| Haiku 4.5 | $0.00002 | $0.00120 |
Grade A, and why
environment-setup scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL "$URL" -o "$INSTALLER" How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
环境配置
本技能用于在终端完成 Python 画图环境的全流程配置。
适用场景
- 用户要求安装 Miniconda
- 用户要求创建虚拟环境
- 用户要求"用 Python 画图"但环境未就绪
- 绘图脚本运行报环境相关错误
Checklist
- 系统识别（macOS/Linux/Windows）
- Miniconda 安装/修复
- conda 初始化
- 创建
research环境 - 安装绘图依赖
- 环境自检
- 更新
plan/progress.md
一、系统识别
macOS / Linux
uname -s
uname -m
echo "$SHELL"
Windows PowerShell
$PSVersionTable.PSVersion
$env:OS
二、Miniconda 安装
macOS 全自动流程
set -euo pipefail
# 1) 选择安装包
ARCH="$(uname -m)"
if [ "$ARCH" = "arm64" ]; then
URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh"
else
URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh"
fi
# 2) 下载并静默安装
INSTALLER="$HOME/Downloads/miniconda.sh"
curl -fsSL "$URL" -o "$INSTALLER"
bash "$INSTALLER" -b -p "$HOME/miniconda3"
# 3) 当前 shell 立即可用
export PATH="$HOME/miniconda3/bin:$PATH"
# 4) 初始化 shell
"$HOME/miniconda3/bin/conda" init "$(basename "$SHELL")"
# 5) 验证
conda --version
Windows 全自动流程（PowerShell）
$ErrorActionPreference = "Stop"
# 1) 下载
$installer = Join-Path $env:TEMP "Miniconda3-latest-Windows-x86_64.exe"
Invoke-WebRequest -Uri "https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe" -OutFile $installer
# 2) 静默安装
$target = "$env:USERPROFILE\miniconda3"
Start-Process -FilePath $installer -ArgumentList "/InstallationType=JustMe","/RegisterPython=0","/S","/D=$target" -Wait
# 3) 初始化 powershell
& "$target\Scripts\conda.exe" init powershell
# 4) 验证
$env:Path = "$target;$target\Scripts;$target\condabin;" + $env:Path
conda --version
三、创建科研虚拟环境
默认环境名：research
创建与激活
conda create -n research python=3.11 -y
conda activate research
python -m pip install --upgrade pip
四、安装绘图依赖
pip install numpy pandas scipy matplotlib seaborn scikit-learn statsmodels jupyter ipykernel openpyxl
python -m ipykernel install --user --name research --display-name "Python (research)"
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.
- 10d ago First seen · 180 lines · 20 tokens per session scan A c488391fd63e
environment-setup is a skill published in the GitHub repository Norman-bury/research-writing-skill (3,183 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 1,203 once invoked, about $0.0001 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 2026-08-30.
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