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 Biraj2004/huashu-skills-english --skill huashu-article-edit-engit clone --depth 1 https://github.com/Biraj2004/huashu-skills-englishWrote 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/biraj2004/huashu-skills-english/huashu-article-edit-en)<a href="https://agentmods.dev/skills/biraj2004/huashu-skills-english/huashu-article-edit-en"><img src="https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-article-edit-en/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/biraj2004/huashu-skills-english/huashu-article-edit-en"><img src="https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-article-edit-en.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 | $0.00057 | $0.00571 |
| Opus 5.5 | $0.00023 | $0.00228 |
| Sonnet 5.5 | $0.00011 | $0.00114 |
| Haiku 4.5 | $0.00006 | $0.00057 |
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.
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Article Editing Skill
A standardised article editing workflow that solves the problem of losing editing work due to session interruptions.
When to Use
- The user asks to edit, revise, or polish an existing article
- Multiple edits need to be made to an article
- Tasks include content trimming, tone adjustment, structural reorganisation, etc.
Execution Workflow
Step 1: Read the Target Article in Full
- Use the Read tool to read the article completely
- Quickly understand the article's topic, structure, and current state
Step 2: List All Planned Edits
- Based on the user's requirements, list all items that need to be changed
- For each item, indicate: location (which paragraph), type of change (delete / rewrite / adjust), and specific content
- Wait for user confirmation of scope before making any changes
Step 3: Incremental Editing + Save After Each Batch
- Save the file after every related group of edits is completed
- Report progress to the user after every 3–5 edits:
Progress: X/Y items completed
✅ Done: [list]
⏳ Remaining: [list]
Step 4: Summary Upon Completion
- Provide a summary of all changes made
- Explain the rationale behind each edit
- If any external information was referenced, include the sources
Key Principles
- Confirm before acting: Never assume the scope of changes
- Save as you go: Save after each batch of edits to prevent loss due to session interruption
- Transparent changes: The user should always know what was changed and why
- Preserve style: Edits must still conform to Huashu's writing style (see SHARED-RULES.md)
Relationship with the Proofreading Workflow
- Once editing is complete, the user may trigger a three-pass proofreading review (
/AI-taste-proofreading) if needed - The Editing Skill focuses on "changing per requirements"; the Proofreading Skill focuses on "reducing AI-sounding language"
Last Updated: 2026-02-06
By Huashu | AI Native Coder · Independent Developer WeChat Official Account "Huashu" | 300k+ followers | AI Tools & Productivity Flagship products: Kitty Catchlight (AppStore Paid Rankings Top 1) · Play DeepSeek with One Book
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.
- 1mo ago First seen · 65 lines · 57 tokens per session scan A 0a3577a5ab2c
huashu-article-edit is a skill published in the GitHub repository Biraj2004/huashu-skills-english (3 stars, last pushed 1mo ago), licensed MIT. It adds 57 tokens to every session and 571 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 2026-08-31.
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