paper-writing-discipline

paper-writing-discipline is a skill for Claude Code, Codex from Lambenthan/paper-discipline-skills. It costs 144 tokens per session (1,905 once invoked), scanned A, original, MIT.

A Chinese-language skill for turning lessons from scientific writing into reusable rules. It checks whether a new rule belongs in a skill, project instructions, a hook, or documentation.

In plain words
What is it for?
Use it when someone wants to record a new writing habit or rule after encountering a problem in research writing.
Why use it?
It prevents recurring mistakes from being handled as vague personal preferences or placed in the wrong kind of guidance.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions Claude Code.

Good fit Use it when someone wants to record a new writing habit or rule after encountering a problem in research writing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lambenthan/paper-discipline-skills/paper-writing-discipline
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 Lambenthan/paper-discipline-skills --skill paper-writing-discipline
Clone the repo
git clone --depth 1 https://github.com/Lambenthan/paper-discipline-skills

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 paper-writing-discipline

README.md
[![agentmods](https://agentmods.dev/badge/skills/lambenthan/paper-discipline-skills/paper-writing-discipline/github.svg)](https://agentmods.dev/skills/lambenthan/paper-discipline-skills/paper-writing-discipline)
Your own site
<a href="https://agentmods.dev/skills/lambenthan/paper-discipline-skills/paper-writing-discipline"><img src="https://agentmods.dev/badge/skills/lambenthan/paper-discipline-skills/paper-writing-discipline/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 paper-writing-discipline

Your own site · 80×15
<a href="https://agentmods.dev/skills/lambenthan/paper-discipline-skills/paper-writing-discipline"><img src="https://agentmods.dev/badge/skills/lambenthan/paper-discipline-skills/paper-writing-discipline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 144 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,905 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 $0.00144 $0.01905
Opus 5 $0.00072 $0.00953
Sonnet 5 $0.00029 $0.00381
Haiku 4.5 $0.00014 $0.00191

Measured 12d ago against content hash a50775e2b24c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

paper-writing-discipline 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.

paper-writing-discipline/SKILL.md · 219 lines

How it starts

The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.

paper-writing-discipline:怎么把新坑变成新 skill

核心理念

skill 不是知识,是踩过坑后才悟出来的纪律。 每次踩新坑,都是写一个新 skill 的机会——别让同一个坑再踩第二次。

知识可以查,纪律必须前置。


触发条件

用户出现以下任一信号 → 触发:

  • 「以后...我都要...」
  • 「下次记得...」
  • 「这种情况要先...」
  • 「这个教训我得记下来」
  • 「帮我把这个习惯固化下来」
  • 「再加一条新规则到 skill 里」
  • 你识别到用户刚踩了一个坑、且这个坑可被规则化避免

4 个判断题(不全过 ≠ 写 skill)

判断这条新规则是否值得做成 skill:

Q1:不用会翻车?
  ├─ 不用没事 → 不是纪律,是偏好 → 不要 skill,写进 CLAUDE.md
  └─ 不用会翻车 → 进入 Q2

Q2:是反直觉的?
  ├─ "本来就该这么做"的常识 → 不要 skill(太弱)
  └─ 必须经历过才懂 → 进入 Q3

Q3:能在动手前就触发?
  ├─ 只能事后补救 → 不是 skill,是 hook
  └─ 能在用户提需求时就触发 → 进入 Q4

Q4:是 HOW 不是 WHAT?
  ├─ 是某个工具的用法 → 写文档 / 教程
  └─ 是"做事的方式" → 做 skill ✅

4 个全过 → 写 skill。任何一个 No → 改用其他形式(CLAUDE.md / hook / 教程)。


SKILL.md 模板(直接复制改填)

---
name: paper-<动词>-<对象>
description: |
  [一段中文,说清这个 skill 防什么灾]
  Use when [中文触发条件,列具体场景]。
---

# paper-<名字>:[一句话标题]

## 核心理念
[1-2 句,说清这条纪律的根本原因]
> [一句金句,让用户读到就记住]

## 触发条件
满足任一条 → 触发:
- [...]
- [...]

## 强制流程
\`\`\`
[简单流程图]
\`\`\`

## 标准回复模板
> [让 AI 能直接套用的话术]

## ❌ 反例(书 §X.X)
[具体翻车故事]

## Rationalization Table
| 念头 | 现实 |
|---|---|
| [...] | [...] |

## Red Flags
- [...]

## 来源
《Claude Code 科研手记》§X.X

命名规范

  • 前缀统一 paper-(让所有 skill 在 ~/.claude/skills/ 里聚成一组)
  • 动词开头:paper-confirm-before-doingpaper-backup-before-word
  • 描述触发场景,不是描述功能
  • 只用小写字母 + 数字 + 连字符(YAML 强制)
✅ 好名字 ❌ 坏名字
paper-backup-before-word word-backup-system
paper-pilot-before-batch batch-task-helper
paper-confirm-before-doing task-confirmation

description 写法

核心原则:description 写"什么时候触发",不要写"做什么"。

✅ 好 ❌ 坏
Use when 用户编辑 .docx 文件之前 这是一个 Word 备份工具
Use when 用户给出模糊润色任务 用来润色论文段落
Use when 拿到导师录音 / 便条 处理导师反馈的 skill

为什么:description 进入 Claude 的 system prompt,决定它"要不要打开这个 skill"。 描述功能 → Claude 不知道何时调用 → 永远不会被触发。


必备 6 个栏目(缺一不可)

每个 paper-* skill 必须有:

  1. 核心理念(1-2 句 + 一句金句)
  2. 触发条件(list,要具体)
  3. 强制流程(流程图 / 步骤)
  4. 标准回复模板(能直接套)
  5. Rationalization Table(封掉合理化借口)
  6. Red Flags(自检停止信号)

Read the full file on GitHub · 219 lines

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. 12d ago First seen · 219 lines · 144 tokens per session scan A a50775e2b24c

Subscribe to this mod's changes

paper-writing-discipline is a skill published in the GitHub repository Lambenthan/paper-discipline-skills (19 stars, last pushed 4mo ago), licensed MIT. It adds 144 tokens to every session and 1,905 once invoked, about $0.0007 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.

Related

Other skills, from other repositories

paper-writer

Medical/scientific paper writing workflow skill. Manages the full pipeline from literature search to submission-ready manuscript. Creates and manages a project directory with IMRAD-format section files, literature matrix, reference management, and quality checklists. Supports both English and Japanese papers.…

kgraph57/paper-writer-skill · 106 tokens

food-research

Run a comprehensive, multi-source literature and evidence-synthesis workflow for food & nutrition science. Use when the user wants to research a food/nutrition topic in depth, do a literature review, build an evidence brief, screen and synthesize many sources, verify citations, or scope a systematic review.…

PangenomeAI/academic-skills-food-nutrition · 154 tokens

food-paper

Multi-subagent manuscript system for food & nutrition science covering the whole research process: understand the field, frame research questions, curate and analyze data, run statistics, build figures and tables, construct the discussion, draft, polish, and self-review — journal-aware throughout. Includes a…

PangenomeAI/academic-skills-food-nutrition · 180 tokens

food-pipeline

Master orchestrator for the whole food & nutrition research-to-publication workflow. Coordinates the specialist skills — each with its own subagent set — into one governed path: journal selection, research (food-research / food-deep-research), writing & analysis (food-paper), figures (food-figure), peer review…

PangenomeAI/academic-skills-food-nutrition · 137 tokens

food-deep-research

General-purpose deep research that produces a fully written, source-validated literature review on any question: scope it, design the method, discover and screen sources by journal ranking, validate every source, extract and verify evidence, synthesize, stress-test, then write and format the review (APA 7.0 by…

PangenomeAI/academic-skills-food-nutrition · 166 tokens

food-figure

Comprehensive figure system for food & nutrition manuscripts: analyzes the user's data, recommends the best figure(s) to make, then produces submission-grade graphics in Python or R at the target journal's spec. Handles all common scientific figure types (bar/box/violin, line/kinetic, scatter/regression, Bland–Altman…

PangenomeAI/academic-skills-food-nutrition · 218 tokens