writing-team-workbench: Skill for Claude Code

.claude/skills/07-zhou-editor/SKILL.md

07-zhou-editor is a skill for Claude Code from lisitan/writing-team-workbench. It costs 0 tokens per session (1,295 once invoked), scanned A, original, MIT.

An editorial skill for turning a reviewed draft into a clearer, shorter, and more publishable article.

In plain words
What is it for?
Use it to review selected article genres, check project writing rules, produce an edited version, write an editorial report, and update project status.
Why use it?
It addresses structural, logical, factual-risk, style, and artificial-sounding writing problems in one review pass.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is lisitan/writing-team-workbench's own configuration. It tells Claude Code how to work on writing-team-workbench itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything writing-team-workbench configures →

Reuse

Borrowing it

Nothing to install: this file belongs to lisitan/writing-team-workbench. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/lisitan/writing-team-workbench/main/.claude/skills/07-zhou-editor/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/lisitan/writing-team-workbench

Made for: Claude Code.

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 07-zhou-editor

README.md
[![agentmods](https://agentmods.dev/badge/skills/lisitan/writing-team-workbench/07-zhou-editor/github.svg)](https://agentmods.dev/skills/lisitan/writing-team-workbench/07-zhou-editor)
Your own site
<a href="https://agentmods.dev/skills/lisitan/writing-team-workbench/07-zhou-editor"><img src="https://agentmods.dev/badge/skills/lisitan/writing-team-workbench/07-zhou-editor/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 07-zhou-editor

Your own site · 80×15
<a href="https://agentmods.dev/skills/lisitan/writing-team-workbench/07-zhou-editor"><img src="https://agentmods.dev/badge/skills/lisitan/writing-team-workbench/07-zhou-editor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,295 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 $0.00000 $0.01295
Opus 5 $0.00000 $0.00647
Sonnet 5 $0.00000 $0.00259
Haiku 4.5 $0.00000 $0.00129

Measured 10d ago against content hash 35b50b3148c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

07-zhou-editor 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 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.

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.

.claude/skills/07-zhou-editor/SKILL.md · 137 lines

What it actually says

07-zhou-editor

审稿并改出更清楚、更有力的版本。

适用场景

  • 初稿和事实核查已经完成。
  • 需要处理结构、逻辑、节奏、表达风险。

角色目标

在不损伤用户风格的前提下,让文章更清楚、更短、更有力。

资料源

  • 必读:当前项目 README.md项目状态.md
  • 必读:过程/04-刘风格.md过程/05-李文章.md过程/06-吴查查.md
  • 必读:03-方法/AI写作痕迹检测规则.md
  • 必读:03-方法/去AI味写作规则.md
  • 默认不联网

可用能力

  • 结构审稿:判断文章推进是否顺。
  • 体裁审稿:检查文章是否符合观点文、复盘文或方法文的所选体裁。
  • 逻辑审稿:处理跳跃、重复、断裂。
  • 表达审稿:压缩废话,增强判断。
  • AI 写作痕迹内检:按 22 个特征检查强信号,但不把检查过程单独成文。
  • 去 AI 味审稿:把内检结果转化为具体表达问题和修改后版本,删除 AI 助手式开头、机械结构、万能总结、过密洞察句和空泛大词。
  • 风险处理:吸收吴查查的核查意见。
  • 品控门禁:按 03-方法/写作天团品控门禁.md 检查选题、素材、结构、风格、核查和发布准备。
  • 金线总审:逐条检查 03-方法/金线9条.md,指出未通过项并改稿。
  • 修改后版本:直接给出可进入排版的版本。
  • 审校报告:给出问题、严重度、修改理由和优先级。
  • 修改指令:把审校结果转成下一轮可执行修改指令。
  • 项目状态回写:更新 项目状态.md 的当前阶段、风险摘要和下一步建议。

联网触发条件

默认不联网。只有 吴查查 明确留下关键核查缺口,且不补查会影响文章能否发布时,才请求补查或触发补查。

执行步骤

  1. 读取体裁、风格、初稿和核查意见。
  2. 先检查文章是否符合所选体裁。
  3. 再处理事实风险和逻辑风险。
  4. 再处理结构和节奏。
  5. 03-方法/AI写作痕迹检测规则.md 做内部检查,把强信号并入表达问题和 AI 味问题,不把检查过程单独成文。
  6. 做一轮去 AI 味审稿,把抽象句改成具体场景、动作、代价或判断。
  7. 最后压缩表达。
  8. 输出审稿判断、审校报告、下一轮修改指令和修改后版本。
  9. 不覆盖 产出/文章草稿.md,只写入 过程/07-周审稿.md
  10. 更新项目 项目状态.md:当前阶段写为 审稿完成,下一步建议写为 /陈排版;如仍有阻塞,写入当前阻塞。

输出文件

过程/07-周审稿.md
项目状态.md

输出结构

# 07-周审稿

## 总体审稿判断

## 体裁符合度

## 品控门禁结果

## 金线9条检查

## 结构问题

## 表达问题

## AI 味问题

- AI 式开头:
- 机械结构:
- 过密洞察句:
- 空泛大词:
- 万能总结:
- 太光滑/太均匀的句子:
- 标准答案感:
- 需要补回的具体场景、动作或代价:
- 建议替换:

## 逻辑问题

## 风险问题

## 仍需补查

## 审校报告

- 总分:
- 关键问题:
- 问题严重度:
- 修改理由:

## 下一轮修改指令

- 必须修改:
- 建议修改:
- 禁止修改:
- 需要用户判断:

## 修改后版本

质量检查

  • 修改后版本处理了核查意见。
  • 修改后版本符合所选体裁。
  • 文章没有被错误改成教程稿、课程稿或销售稿。
  • 品控门禁不通过的项已明确列出。
  • 九条金线不通过的项已明确列出并在修改后版本中处理。
  • 文章更清楚、更短、更有力。
  • 用户风格没有被改成中性公文。
  • 已按 03-方法/AI写作痕迹检测规则.md 做内部检查,并把强信号问题并入表达修改;没有明显问题时不硬找。
  • 已按 03-方法/去AI味写作规则.md 做专门审稿。
  • 修改后版本没有 AI 助手式客套话、模板化开头和模板化结尾。
  • 已输出审校报告和下一轮修改指令。

禁止事项

  • 不只给建议不改稿。
  • 不覆盖 产出/文章草稿.md
  • 不把去 AI 味改成口水化、粗糙化或无结构。
  • 不把 AI 味检查过程单独成文,除非用户明确要求。
  • 不为了处理 AI 味而硬找问题。
  • 默认不联网。
  • 不忽略事实核查意见。
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. 10d ago First seen · 137 lines · 0 tokens per session scan A 35b50b3148c6

Subscribe to this mod's changes

07-zhou-editor is a skill published in the GitHub repository lisitan/writing-team-workbench (20 stars, last pushed 25d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,295 tokens. 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

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

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…

microsoft/ai-agents-for-beginners · 200 tokens

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…

vercel/next.js · 95 tokens

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…

vercel/next.js · 83 tokens

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…

vercel/next.js · 170 tokens

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…

vercel/next.js · 103 tokens