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-to-x-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-to-x-en)<a href="https://agentmods.dev/skills/biraj2004/huashu-skills-english/huashu-article-to-x-en"><img src="https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-article-to-x-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-to-x-en"><img src="https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-article-to-x-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 | $0.00063 | $0.00768 |
| Opus 5.5 | $0.00025 | $0.00307 |
| Sonnet 5.5 | $0.00013 | $0.00154 |
| Haiku 4.5 | $0.00006 | $0.00077 |
Grade A, and why
huashu-article-to-x 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Long-Form Article → X Platform Content
Condense a 3,000–5,000-word article into 200–500 words of X platform content, maintaining Huashu's voice and style.
When to Use
- After an article is completed and X platform promotion is needed
- When the user says "convert to X content" or "generate X post"
Core Objective
- Condense core insights to 200–500 words
- Maintain a conversational, natural tone in Huashu's voice
- Include engagement prompts to drive interaction
3 Angles of Approach
A. Opening with a Punchy Statement (Opinion-type)
The first sentence is a high-impact opinion.
Example:
In the age of AI, never underestimate the creative potential any individual can possess.
Six months ago, with zero experience in Unity and no background in game development, I tried building a 3D military shooter game using Cursor + Unity...
B. Data or Result Impact (Test/Case-study type)
The first sentence drops a shocking data point.
Example:
Claude Code is the best automated writing agent out there.
This 3,000-word article was 100% written by Claude Code. It performed well on Xiaohongshu, sparked plenty of discussion — yet seemingly not a single person suspected it was written by AI.
I'll share how I built my writing agent in the comments later.
C. Direct Value Proposition (Tool/Method type)
The first sentence directly states what it is and what it does.
Example:
Possibly the most user-friendly Markdown-to-WeChat formatting tool yet — standout features are simplicity and aesthetics.
Key highlights:
1. Supports direct paste from Feishu, Notion...
2. Built-in 10+ styles inspired by tech media and print publications...
Standard Structure (200–500 words)
1. Opening (1–2 sentences, 30–50 words)
- Punchy statement / data / value proposition
2. Expansion (3–5 sentences or a list, 100–300 words)
- Specific details / numbers
- Personal experience / real examples
3. Closing (1 sentence, 20–30 words)
- Engagement prompt (see you in the comments / sharing soon)
- @mentions (if referencing a product or person)
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 · 101 lines · 63 tokens per session scan A 14a7cdd4eb21
huashu-article-to-x is a skill published in the GitHub repository Biraj2004/huashu-skills-english (3 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 768 once invoked, about $0.0003 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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