huashu-article-edit

huashu-article-edit is a skill for Claude Code, Codex from alchaincyf/huashu-skills. It costs 57 tokens per session (567 once invoked), scanned A, original, MIT.

A structured process for editing articles, with a clear scope, trackable progress, and a record of changes.

In plain words
What is it for?
It helps revise, adjust, and maintain written articles while keeping the requested changes organised and documented.
Why use it?
It reduces unclear edits and makes it easier to see what was changed and how the work is progressing.

Skill for Claude CodeCodex

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

Good fit It helps revise, adjust, and maintain written articles while keeping the requested changes organised and documented.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alchaincyf/huashu-skills/huashu-article-edit
About the project

huashu-skills is a catalogue of Agent Skills, which are reusable instruction packages that extend coding agents such as Claude Code, Codex, and Kimi Code for particular tasks. It organizes skills for design, research, document conversion, content creation, and other workflows, and includes machine-readable metadata and update checking. The catalogue entries are the skills and related tools that agents install and use.

alchaincyf/huashu-skills · 2,025 stars · on GitHub

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 alchaincyf/huashu-skills --skill huashu-article-edit
Clone the repo
git clone --depth 1 https://github.com/alchaincyf/huashu-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 huashu-article-edit

README.md
[![agentmods](https://agentmods.dev/badge/skills/alchaincyf/huashu-skills/huashu-article-edit/github.svg)](https://agentmods.dev/skills/alchaincyf/huashu-skills/huashu-article-edit)
Your own site
<a href="https://agentmods.dev/skills/alchaincyf/huashu-skills/huashu-article-edit"><img src="https://agentmods.dev/badge/skills/alchaincyf/huashu-skills/huashu-article-edit/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 huashu-article-edit

Your own site · 80×15
<a href="https://agentmods.dev/skills/alchaincyf/huashu-skills/huashu-article-edit"><img src="https://agentmods.dev/badge/skills/alchaincyf/huashu-skills/huashu-article-edit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 567 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
  • Socket pass 15 Sept 2026
  • Snyk pass 15 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 $0.00057 $0.00567
Opus 5.5 $0.00023 $0.00227
Sonnet 5.5 $0.00011 $0.00113
Haiku 4.5 $0.00006 $0.00057

Measured 1mo ago against content hash 2e85422c3cf7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

huashu-article-edit 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 1mo 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.

huashu-article-edit/SKILL.md · 60 lines

What it actually says

文章编辑 Skill

标准化的文章编辑流程,解决会话截断导致编辑工作丢失的问题。

何时使用

  • 用户要求编辑、修改、优化已有文章
  • 需要对文章进行多处修改
  • 内容删减、语气调整、结构重组等编辑工作

执行流程

Step 1: 完整阅读目标文章

  • 用 Read 工具完整阅读文章
  • 快速理解文章主题、结构、当前状态

Step 2: 列出所有修改项

  • 根据用户需求,列出所有需要修改的项目
  • 每项标明:位置(哪个段落)、修改类型(删除/重写/调整)、具体内容
  • 等待用户确认范围后再动手

Step 3: 增量编辑 + 实时保存

  • 每完成一组相关修改就保存文件
  • 每完成3-5项修改,向用户汇报进度:
    进度:已完成 X/Y 项
    ✅ 已完成:[列表]
    ⏳ 待完成:[列表]
    

Step 4: 完成后总结

  • 列出所有变更的摘要
  • 说明每处修改的理由
  • 如有引用外部信息,附上来源

关键原则

  • 先确认再动手:不假设修改范围
  • 边改边存:每批修改后立即保存,防截断丢失
  • 变更透明:用户清楚知道改了什么、为什么改
  • 保持风格:修改后仍需符合花生的写作风格(参见 SHARED-RULES.md)

与审校流程的关系

  • 编辑完成后,如用户需要可触发三遍审校(/AI味审校)
  • 编辑 Skill 聚焦「按需求改」,审校 Skill 聚焦「降AI味」

最后更新: 2026-02-06


花叔出品 | AI Native Coder · 独立开发者 公众号「花叔」| 30万+粉丝 | AI工具与效率提升 代表作:小猫补光灯(AppStore付费榜Top1)·《一本书玩转DeepSeek》

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. 1mo ago First seen · 60 lines · 57 tokens per session scan A 2e85422c3cf7

Subscribe to this mod's changes

huashu-article-edit is a skill published in the GitHub repository alchaincyf/huashu-skills (2,025 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 567 once invoked, about $0.0002 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.

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