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 mebusw/awesome-jackyshen-skills --skill jackyshen-write-wechat-articlegit clone --depth 1 https://github.com/mebusw/awesome-jackyshen-skillsWrote 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/mebusw/awesome-jackyshen-skills/jackyshen-write-wechat-article)<a href="https://agentmods.dev/skills/mebusw/awesome-jackyshen-skills/jackyshen-write-wechat-article"><img src="https://agentmods.dev/badge/skills/mebusw/awesome-jackyshen-skills/jackyshen-write-wechat-article/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/mebusw/awesome-jackyshen-skills/jackyshen-write-wechat-article"><img src="https://agentmods.dev/badge/skills/mebusw/awesome-jackyshen-skills/jackyshen-write-wechat-article.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 | $0.00053 | $0.01310 |
| Opus 5.5 | $0.00021 | $0.00524 |
| Sonnet 5.5 | $0.00011 | $0.00262 |
| Haiku 4.5 | $0.00005 | $0.00131 |
Grade A, and why
jackyshen-write-wechat-article 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 2mo 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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WeChat Article Writer
Write engaging WeChat Official Account articles that capture attention, provide value, and drive engagement. Output in Markdown—use plain characters for tables (no MD tables) since WeChat editor cannot parse them.
Key Principles
- Pyramid Principle: Main conclusion first, then supporting arguments
- Engaging hooks: First 60 seconds must grab attention
- Emotional closing: End with call-to-action and engagement prompt
- Human tone: Avoid AI-generated patterns and phrasing
- Reader-focused: Address "you" directly, solve real problems
Article Parameters
Define before writing:
| Element | Options |
|---|---|
| Purpose | Inform, Inspire, Persuade, Entertain |
| Tone | Professional, Casual, Inspirational, Humorous |
| Length | Short: 800-1,200 words, Standard: 1,200-2,000 words |
| Action | Read, Share, Comment, Follow |
Title Formulas
- Numbered List: "7 Time Management Tips to Add 2 Hours to Your Day"
- How-to: "How to Run Efficient Meetings? 3 Steps to Cut Time in Half"
- Contrast: "The Hard Work You're Doing Is Destroying Your Career"
- Question: "Why You Learn Everything Yet Still Struggle"
- Story: "From 5K to 50K Monthly: His 3-Year Secret Weapon"
- Curiosity: "3 Negotiation Tricks Communication Experts Never Tell You"
Article Structure
Opening (10-15%)
├── Hook: Grab attention immediately
├── Bridge: Connect to reader's pain
├── Promise: What they'll gain
└── Preview: Roadmap ahead
Body (70-75%)
├── Point 1: Subheading → Explanation → Example → Action
├── Point 2: Subheading → Explanation → Example → Action
└── Point 3: Subheading → Explanation → Example → Action
Closing (10-15%)
├── Summary: Recap key points
├── CTA: Specific action to take
└── Prompt: Question to drive comments
Hook Techniques
| Type | Example |
|---|---|
| Direct address | "Do you also struggle with..." |
| Contrarian | "Most people get this wrong..." |
| Story | "Last week, my student Wang..." |
| Stat | "80% of people will..." |
| Question | "Why does..." |
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.
- 2mo ago First seen · 197 lines · 53 tokens per session scan A 7ab4989d1f7b
jackyshen-write-wechat-article is a skill published in the GitHub repository mebusw/awesome-jackyshen-skills (4 stars, last pushed 6mo ago), licensed MIT. It adds 53 tokens to every session and 1,310 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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