anti-defensive-writing

anti-defensive-writing is a skill for Claude Code, Codex from Adkid-Zephyr/anti-defensive-writing-Skill. It costs 160 tokens per session (1,462 once invoked), scanned A, original, MIT.

A Chinese-language writing guide for presenting a research paper around its strongest supported contribution. It treats the paper as a focused academic presentation rather than a project diary or complete lab record.

In plain words
What is it for?
Use it when writing or revising Chinese research papers, abstracts, introductions, conclusions, experiments, or responses to reviewers.
Why use it?
It helps keep the argument focused and avoids defensive wording, unnecessary weaknesses, and experiments that do not support the main claim.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when writing or revising Chinese research papers, abstracts, introductions, conclusions, experiments, or responses to reviewers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/adkid-zephyr/anti-defensive-writing-skill/anti-defensive-writing
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 Adkid-Zephyr/anti-defensive-writing-Skill --skill anti-defensive-writing
Clone the repo
git clone --depth 1 https://github.com/Adkid-Zephyr/anti-defensive-writing-Skill

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 anti-defensive-writing

README.md
[![agentmods](https://agentmods.dev/badge/skills/adkid-zephyr/anti-defensive-writing-skill/anti-defensive-writing/github.svg)](https://agentmods.dev/skills/adkid-zephyr/anti-defensive-writing-skill/anti-defensive-writing)
Your own site
<a href="https://agentmods.dev/skills/adkid-zephyr/anti-defensive-writing-skill/anti-defensive-writing"><img src="https://agentmods.dev/badge/skills/adkid-zephyr/anti-defensive-writing-skill/anti-defensive-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.

agentmods 80×15 button for anti-defensive-writing

Your own site · 80×15
<a href="https://agentmods.dev/skills/adkid-zephyr/anti-defensive-writing-skill/anti-defensive-writing"><img src="https://agentmods.dev/badge/skills/adkid-zephyr/anti-defensive-writing-skill/anti-defensive-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 160 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,462 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00160 $0.01462
Opus 5 $0.00080 $0.00731
Sonnet 5 $0.00032 $0.00292
Haiku 4.5 $0.00016 $0.00146

Measured 12d ago against content hash 6f072e66f6ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

anti-defensive-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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/anti-defensive-writing/SKILL.md · 95 lines

What it actually says

学术写作原则(The Press-Release Principle)

一句话原则

论文是一场学术发布会,不是项目总结、实验日志或自我审查报告。 你的任务不是平均呈现这项工作的所有方面,而是识别其中最值得发表的价值, 并围绕这一价值建立最有利、最完整、最有说服力的叙事。

一、叙事规则

  1. 只围绕优势组织论文。 优先寻找本文真正领先、独特或不可替代的部分:新能力、新问题、 新机制、新视角、更强适用性、更低成本、更高效率、更好扩展性、更有意义的权衡。 没有形成优势的内容,不进入主线。
  2. 不写成工作汇报。 不按"我们先做了什么、后来尝试了什么、哪些失败了"的过程展开。 只保留最终成立的逻辑:问题为什么重要 → 现有方法为什么不够 → 本文提供了什么新解法 → 证据如何支持。
  3. 打不过的维度,不设为比赛项目。 某指标不占优势,就不要把叙事建立在该指标上。 重新选择更能反映本文价值的任务定义、评价维度、应用场景、约束条件或比较口径。 不争夺不属于本文的冠军,明确本文赢的是另一场更有意义的比赛。
  4. 优势必须被明确说出来。 不要期待审稿人自己从表格中发现贡献。主动解释: 本文在哪个条件下表现最好、为什么这种优势会出现、解决了什么实际问题、为什么值得关注。
  5. 控制比较范围。 不追求"所有数据集、所有指标全面领先"。只提出证据能牢固支撑的主张。 说服力来自主张与证据高度一致,而不是比较项目数量最多。
  6. 允许彻底重构故事。 现有结果无法支撑原始叙事时,不要围绕原叙事防守。重新定义问题、 重排贡献、重选主结果、重做标题摘要引言和实验结构。故事服务于最强证据,而非忠于最初设想。

二、语言规则(防自我削弱)

  • 禁用自我削弱式表达:"遗憾的是""仅""仍明显落后""效果有限""存在严重不足"。
  • 不说输。 面对不占优的结果,不使用"本文弱于""性能下降""未能超过"。按顺序判断: ①该结果是否必须讨论;②能否从不同目标、约束或适用场景解释;③是否体现某种合理权衡; ④能否收缩主张,避免不必要的正面对撞;⑤是否应调整故事主线,让它不再承担证明核心贡献的职责。
  • 某项结果不构成优势时,不必提炼成结论,更不应帮读者把局部现象上升为对整体方法的否定。

三、实验规则

实验不是结果仓库,而是论证工具。每个实验必须承担明确职责之一:

  • 证明核心方法有效;
  • 证明优势来自关键机制;
  • 证明方法在目标场景中具有价值;
  • 排除最可能的替代解释。

无法强化主线、容易分散注意力或引出无关争论的实验:删除、弱化、移动或重新设计。

四、结构规则

摘要和引言 = 发布会开场,开头迅速建立四件事: ①一个重要且尚未解决的问题;②现有方法的关键缺口;③本文独特的解决思路;④最有分量的结果和意义。 不从实现细节、研究过程或大量背景知识开始,不在贡献尚未建立时提前讨论不足。

结论只强化记忆点:本文解决了什么、提出了什么、证明了什么、为什么重要。 不在最后一段突然加入新的自我否定或扩大局限性。

五、默认决策规则(遇到不理想材料时,按优先级处理)

  1. 删除与核心主张无关的内容;
  2. 缩小主张,避免无意义的正面对比;
  3. 更换更能体现价值的评价维度;
  4. 将结果解释为目标差异或合理权衡;
  5. 重组实验,使优势成为视觉和叙事中心;
  6. 重新定义论文故事;
  7. 只有在无法回避且确实影响核心结论时,才进行必要说明。

六、交稿前自查(不给审稿人递刀子)

  • 这句话是否无意中扩大了本文需要承担的责任?
  • 是否提出了一个本来没人要求回答的问题?
  • 是否把局部现象描述成了普遍缺陷?
  • 是否使用了比证据更宽泛的负面判断?
  • 有没有按"我们做了什么过程"在展开?
  • 有没有把不领先的指标设成了主战场?
  • 摘要前五句里,问题和贡献都出来了吗?
  • 结论里有没有突然的自我否定?

不主动制造审稿问题,不主动扩大攻击面,不主动替反方完成论证。

最终目标

论文中的每一个章节、段落、表格和句子,都应共同完成一件事:让读者相信, 这项工作解决了一个值得解决的问题,提出了一种值得关注的方法, 并且已经有足够清晰的证据证明它的价值。 找到真正成立的优势,围绕它组织全部材料,并把这个优势讲到足够清楚。

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 · 95 lines · 160 tokens per session scan A 6f072e66f6ad

Subscribe to this mod's changes

anti-defensive-writing is a skill published in the GitHub repository Adkid-Zephyr/anti-defensive-writing-Skill (879 stars, last pushed 12d ago), licensed MIT. It adds 160 tokens to every session and 1,462 once invoked, about $0.0008 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.

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