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 Lambenthan/paper-discipline-skills --skill paper-using-skillsgit clone --depth 1 https://github.com/Lambenthan/paper-discipline-skillsWrote 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/lambenthan/paper-discipline-skills/paper-using-skills)<a href="https://agentmods.dev/skills/lambenthan/paper-discipline-skills/paper-using-skills"><img src="https://agentmods.dev/badge/skills/lambenthan/paper-discipline-skills/paper-using-skills/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/lambenthan/paper-discipline-skills/paper-using-skills"><img src="https://agentmods.dev/badge/skills/lambenthan/paper-discipline-skills/paper-using-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00122 | $0.01331 |
| Opus 5.5 | $0.00049 | $0.00532 |
| Sonnet 5.5 | $0.00024 | $0.00266 |
| Haiku 4.5 | $0.00012 | $0.00133 |
Grade A, and why
paper-using-skills 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 2mo 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
paper-using-skills：论文写作纪律入口
核心理念
科研写作翻车，不是因为不知道，是因为知道但累了 / 赶时间 / 觉得这次不一样而跳过。 本系列 skill 把"踩过坑后才悟出来的动作"，变成 AI 在动手前必须先执行的检查点。
当你觉得"这次不用走流程也行"，那就是必须走流程的时候。
强制规则
遇到任何论文写作请求，在调用任何工具之前，必须先扫一遍下方"触发对照表"。匹配则调用对应 skill。
匹配标准：1% 可能相关就调用。调用后发现不适用，再退出。 不要"凭印象"省掉这一步。
skill 触发对照表
| 触发场景 | 调用的 skill | 防什么灾 |
|---|---|---|
| 新论文项目第一次开会话 | paper-claude-md-bootstrap |
AI 反复要你解释研究背景 |
| 用户发来"改一下 / 整理下 / 润色"等模糊任务 | paper-confirm-before-doing |
AI 自由发挥跑偏 |
| 用户在一次会话里提了多件事 | paper-one-session-one-task |
上下文污染、决策劣化 |
| 跨多文件批改、术语统一 | paper-protect-terminology |
专业术语被同义替换 |
| 编辑 .docx / Word 文件 | paper-backup-before-word |
XML 损坏、原文被覆盖 |
| 处理 ≥ 30 条目的批量任务 | paper-pilot-before-batch |
全量跑炸了改不回来 |
| 大批量引用 / 术语 / 格式核查 | paper-parallel-audit |
串行慢 + 中间挂了从头来 |
| 用户拿来导师录音、便条、口头反馈 | paper-translate-advisor-feedback |
AI 听不懂学术口语 |
| 改动核心声明 / 研究问题 / 主要结论 / 因果关系 / 方法边界 | paper-logical-consistency |
改一处忘了改其他章节，论证穿帮 |
| 任何对论文文段做润色 / 改写 / 通顺化 | chinese-de-aigc |
改完后科研叙事被改成 AI 腔，AIGC 检测率飙升、读起来像没做过研究的人写的 |
| 写完准备发给导师 / 提交 | paper-verify-before-handoff |
AI 写得太流畅让人放松警惕 |
Skill 优先级
多个 skill 同时命中时，按以下顺序执行：
paper-confirm-before-doing—— 模糊任务在所有动作之前先确认- 场景 skill（backup-before-word / protect-terminology / translate-advisor-feedback / 等）—— 决定怎么做
chinese-de-aigc—— 任何文段改写 / 润色 / 通顺化都必须按它的五步闭环走（定位 → 诊断 → 改写 → 自评 → 复查）；不是"改完之后再过一遍"，而是改的过程中就遵循它的方法论：保科研叙事美感的同时降 AIGC 检测率paper-verify-before-handoff—— 交付前最后一道闸（含 AIGC pattern 自查项）
chinese-de-aigc是独立的 peer skill，按它自己的 description 自然触发即可；本表只是让你知道它存在。 是否调用由它自己的触发条件决定，第 4 步 verify 阶段会做 AIGC 兜底自查。
Red Flags：以下念头 = 立即停止，回去查 skill
- "这个任务很简单，直接做就行" → 简单的任务正是出错时不被发现的
- "用户没说要走流程，我先做了再说" → 用户没说 ≠ 不需要
- "时间紧，跳过流程更快" → 跳过流程返工的时间一定比走流程长
- "我刚才已经备份过了" → 上一次备份不是这一次的备份
- "我了解这个用户的习惯" → skill 不为习惯让步
- "这是显而易见的事" → 显而易见的事踩了 N 次坑才写成 skill
- "这次跟书里写的情况不太一样" → 99% 的"这次不一样"都一样
任何上述念头出现 = 必须读对应 skill。
系列与单本书的关系
本 skill 集是《Claude Code 科研手记》一书的可执行版本。书里讲的每条教训，对应一个 skill。 书读不读得完无所谓，skill 装上后会在该触发的时候自动提醒你。
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.
- 2mo ago First seen · 85 lines · 122 tokens per session scan A 58fc0472e1c7
paper-using-skills is a skill published in the GitHub repository Lambenthan/paper-discipline-skills (20 stars, last pushed 5mo ago), licensed MIT. It adds 122 tokens to every session and 1,331 once invoked, about $0.0005 per session on Opus 5.5. 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.
paper-using-skills compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| paper-using-skillsLambenthan/paper-discipline-skills | Skill | 20 | 5mo ago | MIT | A | 122 | Claude Code, Codex |
| running-cluster-experimentschgagne/claude-skills-research | Skill | 5 | yesterday | MIT | A | 72 | Claude Code, Codex |
| explaining-derivationschgagne/claude-skills-research | Skill | 5 | yesterday | MIT | A | 109 | Claude Code, Codex |
| self-surveying-literaturechgagne/claude-skills-research | Skill | 5 | yesterday | MIT | A | 136 | Claude Code, Codex |
| proofreading-paper-writingchgagne/claude-skills-research | Skill | 5 | yesterday | MIT | A | 108 | Claude Code, Codex |
| verifying-proofschgagne/claude-skills-research | Skill | 5 | yesterday | MIT | A | 88 | Claude Code, Codex |
| comparing-paperschgagne/claude-skills-research | Skill | 5 | yesterday | MIT | A | 91 | Claude Code, Codex |