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-video-check-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-video-check-en)<a href="https://agentmods.dev/skills/biraj2004/huashu-skills-english/huashu-video-check-en"><img src="https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-video-check-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-video-check-en"><img src="https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-video-check-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 | $0.00048 | $0.22571 |
| Opus 5 | $0.00024 | $0.11286 |
| Sonnet 5 | $0.00010 | $0.04514 |
| Haiku 4.5 | $0.00005 | $0.02257 |
Grade A, and why
huashu-video-check 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 12d 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 — 3,163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Thumbnail, Title & Hook Review
A professional review capability for video titles, thumbnails, and content engagement — based on the MrBeast methodology — to improve click-through rate and watch time.
When to Use This Skill
This skill is automatically loaded when:
- The user says "check the title and thumbnail" or "check content engagement"
- After a video script draft is completed
- The user mentions "low click-through rate" or "short watch time"
- Need to optimise video titles or thumbnails
Core Objectives
- Improve click-through rate: Titles and thumbnails attract users to click
- Improve watch time: Strong content engagement keeps viewers watching to the end
- Build reusable formulas: Standardised thumbnail, title, and engagement strategies
Review Dimensions
1️⃣ Title Review (Strong Contrast Strategy)
2️⃣ Thumbnail Review (Results-First Strategy)
3️⃣ Content Engagement Review (Opening confirmation → Mid-section surprise → Closing payoff)
1️⃣ Title Review: Strong Contrast Strategy
Core Principle
Focus on the strongest single contrast — don't list everything
5 Strong Contrast Formulas
Formula 1: Quantity Contrast
Format: Small quantity vs Large quantity
Examples:
- ✅ "1 Prompt Wrote 1,000 Lines of Code"
- ✅ "3 People vs a Team of 300 — Who Wins?"
- ✅ "1 Tool That Replaces 10 Tools"
Best for: Tutorial content, efficiency content, tool reviews
Formula 2: Price Contrast
Format: Low price vs High price or Free vs Paid
Examples:
- ✅ "£15 vs £150 AI — How Big Is the Gap?"
- ✅ "What Can Free AI Do? I Tested 10 Tools"
- ✅ "Same Features — Is Claude Worth 10x More Than GPT?"
Best for: Reviews, comparisons
Formula 3: Results Contrast
Format: Low results vs High results or Before vs After
Examples:
- ✅ "300K Followers vs 0 — I Only Did One Thing Right"
- ✅ "From 0 to 1,000 Views — I Used 3 Techniques"
- ✅ "Same Video, Different Title — Views Increased 10x"
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.
- 12d ago First seen · 3,163 lines · 48 tokens per session scan A 8e59f98f9ca4
huashu-video-check is a skill published in the GitHub repository Biraj2004/huashu-skills-english (3 stars, last pushed 4mo ago), licensed MIT. It adds 48 tokens to every session and 22,571 once invoked, about $0.0002 per session on Opus 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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