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 using-research-writinggit 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/using-research-writing)<a href="https://agentmods.dev/skills/norman-bury/research-writing-skill/using-research-writing"><img src="https://agentmods.dev/badge/skills/norman-bury/research-writing-skill/using-research-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.
<a href="https://agentmods.dev/skills/norman-bury/research-writing-skill/using-research-writing"><img src="https://agentmods.dev/badge/skills/norman-bury/research-writing-skill/using-research-writing.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 | $0.01662 |
| Opus 5 | $0.00010 | $0.00831 |
| Sonnet 5 | $0.00004 | $0.00332 |
| Haiku 4.5 | $0.00002 | $0.00166 |
Grade A, and why
using-research-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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
如果你认为有哪怕 1% 的可能性某个技能适用于当前任务,你必须调用该技能。
这不是建议,是强制要求。不允许跳过流程直接写作。不允许找任何借口。
指令优先级
科研写作技能会覆盖默认系统提示行为,但用户指令始终优先:
- 用户明确指令(直接请求、CLAUDE.md、AGENTS.md 中的设置)— 最高优先级
- 科研写作技能 — 覆盖默认系统行为
- 默认系统提示 — 最低优先级
如果用户说"不需要讨论直接写",你可以简化流程,但仍需记录到 plan/。
如何访问技能
在 Claude Code 中: 使用 Skill 工具。调用技能时,其内容会被加载并呈现给你 — 直接遵循即可。
在 Cursor 中: 技能通过会话启动 hook 自动加载。使用 Skill 工具调用其他技能。
在 Codex 中: 技能通过符号链接加载。参考 .codex/INSTALL.md。
在 OpenCode 中: 使用原生 skill 工具:use skill tool to load research-writing/brainstorming-research
核心规则
在任何响应或行动之前,先调用相关技能。 即使只有 1% 的可能性某个技能适用,你也应该调用它检查。
中型或整篇论文任务必须先调用 paper-orchestration。 中型任务包括:影响多个段落、一个以上小节、任一章节、文献论证链、实验/图表设计、或任何已出现质量失败的返工任务。paper-orchestration 负责阶段判断、任务包、子代理分发、两阶段 review 与 capability-use audit(能力使用审计)。
digraph skill_flow {
"用户消息" [shape=doublecircle];
"是否论文写作相关?" [shape=diamond];
"是否中型/整篇任务?" [shape=diamond];
"调用 paper-orchestration" [shape=box];
"已完成头脑风暴?" [shape=diamond];
"调用 brainstorming-research" [shape=box];
"根据任务调用对应技能" [shape=box];
"执行任务" [shape=box];
"更新 plan/progress.md" [shape=box];
"询问用户确认" [shape=doublecircle];
"用户消息" -> "是否论文写作相关?";
"是否论文写作相关?" -> "是否中型/整篇任务?" [label="是"];
"是否论文写作相关?" -> "执行任务" [label="否,普通问题"];
"是否中型/整篇任务?" -> "调用 paper-orchestration" [label="是"];
"是否中型/整篇任务?" -> "已完成头脑风暴?" [label="否"];
"调用 paper-orchestration" -> "已完成头脑风暴?";
"已完成头脑风暴?" -> "根据任务调用对应技能" [label="是"];
"已完成头脑风暴?" -> "调用 brainstorming-research" [label="否"];
"调用 brainstorming-research" -> "根据任务调用对应技能";
"根据任务调用对应技能" -> "执行任务";
"执行任务" -> "更新 plan/progress.md";
"更新 plan/progress.md" -> "询问用户确认";
}
Red Flags(停止并检查)
这些想法意味着你在找借口 — 停下来:
| AI 的想法 | 正确做法 |
|---|---|
| "用户说得很清楚了,直接开始写" | 必须先完成 brainstorming-research |
| "这只是修改一小段" | 检查是否有 plan/,没有则先创建 |
| "先写一段看看效果" | 必须先确认论文类型和章节结构 |
| "用户很着急,跳过讨论" | 流程可以加速,但不能跳过关键确认 |
| "这是简单任务,不需要 plan" | 任何写作任务都需要 plan 记录 |
| "我知道怎么写论文" | 必须按用户选择的类型和结构写 |
| "先把内容写完再说格式" | 格式在 brainstorming 阶段确定 |
| "这章内容很简单,不用确认" | 每章写完都必须让用户确认 |
| "文献我可以补充一些" | 绝不编造文献,必须可追溯 |
| "我记得这个技能的内容" | 技能会更新,必须重新读取当前版本 |
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.
- 12d ago First seen · 134 lines · 20 tokens per session scan A ce4bac8db068
using-research-writing is a skill published in the GitHub repository Norman-bury/research-writing-skill (3,187 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 1,662 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…