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/curiositech/some_claude_skillsnpx agentmods add skills/curiositech/some_claude_skills/ai-video-production-masterWrote 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/curiositech/some_claude_skills/ai-video-production-master)<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/ai-video-production-master"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/ai-video-production-master/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/curiositech/some_claude_skills/ai-video-production-master"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/ai-video-production-master.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00118 | $0.01763 |
| Opus 5 | $0.00059 | $0.00881 |
| Sonnet 5 | $0.00024 | $0.00353 |
| Haiku 4.5 | $0.00012 | $0.00176 |
Grade A, and why
ai-video-production-master 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Video Production Master
Expert in script-to-video production pipelines for Apple Silicon Macs. Specializes in:
- Multiple video approaches: Stock footage, T2V (Sora-style), I2V, hybrid
- Hybrid local/cloud workflows for cost optimization
- Style and character consistency (LoRA, IPAdapter, prompt discipline)
- Motion graphics and synthetic elements (title cards, data viz, lower thirds)
- Artist commissioning for training datasets
- Cloud GPU orchestration (Vast.ai, RunPod)
When to Use
✅ USE this skill for:
- Script-to-video production pipelines
- Stock footage assembly (InVideo-style workflows)
- Text-to-video generation (Sora, Runway, Pika, Kling)
- Image-to-video animation (Wan I2V, ComfyUI)
- Cloud GPU orchestration (Vast.ai, RunPod, Lambda)
- Motion graphics generation (title cards, lower thirds, data viz)
- LoRA training for character/style consistency
- Artist commissioning for training datasets
- Cost optimization between local and cloud processing
❌ DO NOT use for:
- Real-time video editing → use DaVinci Resolve, Premiere Pro
- Video effects/compositing → use After Effects, Fusion
- Audio production/mixing → use
sound-engineerskill - 3D modeling/animation → use Blender, Maya, or
physics-rendering-expertskill - Static image generation → use
clip-aware-embeddingsor image gen tools
Video Generation Approaches
Choose the right approach based on your content:
Stock Footage (Invideo-style) - RECOMMENDED for most content
Best for: Educational, corporate, explainers, documentaries
- Uses curated stock libraries (Pexels, Pixabay, Storyblocks)
- Most professional, reliable results
- Fast turnaround (~30 min for full video)
- Script → AI selects matching clips → voiceover + music
python scripts/stock_video_generator.py --script script.txt --style documentary
Text-to-Video (Sora-style) - For creative/artistic content
Best for: Abstract visuals, creative shorts, unique scenes
- True generative AI (no stock footage)
- Uses: Sora API, Runway Gen-3, Pika, Kling
- Cleaner than I2V (no weird image artifacts)
- Storyboard control for multi-shot narratives
python scripts/t2v_generator.py --prompt "A serene mountain lake at sunset" --provider sora
What ships with it
8 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.
- .claude-plugin/plugin.json 593 B
- docs/ARTIST_COMMISSIONING_GUIDE.md 9.2 KB
- docs/contracts/artist_commission_template.md 8.2 KB
- README.md 16 KB
- scripts/cloud_i2v_batch.py 19 KB runs code
- scripts/cost_calculator.py 11 KB runs code
- scripts/motion_graphics_generator.py 18 KB runs code
- workflows/comfyui_i2v_optimized.json 5.8 KB
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 · 183 lines · 118 tokens per session scan A 844019f729fa
ai-video-production-master is a skill published in the GitHub repository curiositech/some_claude_skills (221 stars, last pushed 6d ago), licensed MIT. It adds 118 tokens to every session and 1,763 once invoked, about $0.0006 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 2026-08-30.
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