Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Biraj2004/huashu-skills-englishnpx agentmods add skills/biraj2004/huashu-skills-english/huashu-douyin-script-enWrote 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-douyin-script-en)<a href="https://agentmods.dev/skills/biraj2004/huashu-skills-english/huashu-douyin-script-en"><img src="https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-douyin-script-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-douyin-script-en"><img src="https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-douyin-script-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 | $0.00092 | $0.07832 |
| Opus 5.5 | $0.00037 | $0.03133 |
| Sonnet 5.5 | $0.00018 | $0.01566 |
| Haiku 4.5 | $0.00009 | $0.00783 |
Grade A, and why
huashu-douyin-script 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 — 830 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Short Video Viral Script Creation
A complete workflow from competitor video breakdown to script generation. Transforms "copy viral videos by instinct" into "AI-powered systematic breakdown + structured replication".
Environment Requirements
uv(Python package manager)yt-dlp(video download —pip install yt-dlporbrew install yt-dlp)GEMINI_API_KEYenvironment variable (for Gemini video analysis — get from https://aistudio.google.com/apikey)- Chrome browser signed into the relevant platform (to extract download cookies)
Path convention: SKILL_DIR in the instructions below refers to the absolute path of the directory containing this SKILL.md file. Before running scripts, use dirname or a Glob tool to determine the actual location of SKILL.md and replace SKILL_DIR.
6-Step Workflow
Step 1: Collect Inputs
Gather the following from the user:
Required:
- Video links (1–5 benchmark / competitor videos)
- Product information (name, core selling points, target audience, price)
- Script type: Seeding video OR ad creative / paid traffic material
Optional:
- Product images (for visual reference in the script)
- Target duration (seeding default: 30 seconds; ad material default: 15 seconds)
- Brand tone requirements
- Campaign objective (live-stream traffic / product page / follow conversion)
If the user has only provided partial information, proactively ask for what's missing.
Step 2: Download Videos
Run the download script:
uv run SKILL_DIR/scripts/download_video.py \
--urls "URL1" "URL2" \
--output-dir _temp/video-downloads
Parameters:
--urls: Supports short links, page links, and share text (auto-extracts URL)--output-dir: Defaults to_temp/video-downloads/in the current working directory--cookies-browser: Defaultchrome; options includeedge/firefox
If download fails:
- Prompt the user to confirm Chrome is signed into the platform
- Suggest manually downloading the video into
_temp/video-downloads/ - If a relevant MCP server is available, try downloading via MCP
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 830 lines · 92 tokens per session scan A 42e8b59eadc8
huashu-douyin-script is a skill published in the GitHub repository Biraj2004/huashu-skills-english (3 stars, last pushed 1mo ago), licensed MIT. It adds 92 tokens to every session and 7,832 once invoked, about $0.0004 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.
Other skills, from other repositories
customer-journey-map
Construye un mapa de recorrido del cliente para un producto, servicio o experiencia. Úsalo cuando se te pida mapear un recorrido del cliente, crear un viaje del usuario, documentar puntos de contacto y puntos de fricción, o diseñar un mapa de experiencia. Produce un mapa de recorrido completo con etapas, puntos de…
user-research-synthesis
Analiza y sintetiza hallazgos de investigación de usuarios en insights estructurados y accionables. Úsalo cuando te proporcionen datos de investigación de usuarios, transcripciones de entrevistas, resultados de encuestas o feedback de usuarios que necesiten ser analizados y resumidos. Produce una síntesis temática con…
design-handoff-brief
Transform feature briefs into structured design briefs that give designers the context they need before opening Figma. Use when asked to write a design brief, create a design handoff, brief a designer on a new feature, or translate a PRD into design requirements. Produces a brief with user goal, emotional context…
explorer-interface-brief
Use when asked to design the interface for an interactive 3D explorer, plan a UI for exploring a 3D model of a topic, or write an image-model prompt for a 3D learning app mock-up. Produces, from a topic, the UI design brief (audience, layout, panels, interactions, label style, colour palette, accessibility) and an…
architectural-programme-brief
Turn a client's wishes into an architectural brief that can actually be designed against — the accommodation schedule, the adjacencies, the budget reality, and the constraints named before they become change orders. Use when asked to write an architectural brief, prepare a project brief for a building, run a client…
architecture-client-presentation
Present a design to a client so they can make a decision rather than react to a picture — the brief restated, the moves explained against it, the options with their trade-offs, and a specific decision requested. Use when asked to present a design to a client, prepare a design review meeting, present concept options…