Borrowing it
Nothing to install: this file belongs to fltman/create-agentic-product. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/fltman/create-agentic-product/main/.claude/skills/sora-video/SKILL.mdgit clone --depth 1 https://github.com/fltman/create-agentic-productWrote 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/fltman/create-agentic-product/sora-video)<a href="https://agentmods.dev/skills/fltman/create-agentic-product/sora-video"><img src="https://agentmods.dev/badge/skills/fltman/create-agentic-product/sora-video/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/fltman/create-agentic-product/sora-video"><img src="https://agentmods.dev/badge/skills/fltman/create-agentic-product/sora-video.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 | $0.00059 | $0.01338 |
| Opus 5.5 | $0.00024 | $0.00535 |
| Sonnet 5.5 | $0.00012 | $0.00268 |
| Haiku 4.5 | $0.00006 | $0.00134 |
Grade A, and why
sora-video 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sora Video Generation
Generate high-quality AI videos using OpenAI's Sora model.
Capabilities
- Text-to-video: Create video clips from text descriptions
- Image-to-video: Animate a reference image into a video clip
- Remix: Create variations of previously generated videos
Requirements
Before using this skill, ensure:
-
Python packages are installed:
pip install openai -
API key is set:
export OPENAI_API_KEY="your-openai-api-key"Get your key at: https://platform.openai.com/api-keys
Usage
Text-to-Video
Generate a video from a text description:
python skills/sora-video/scripts/generate_video.py --prompt "A drone shot flying over a misty forest at sunrise" --output forest.mp4
Image-to-Video
Animate a reference image:
python skills/sora-video/scripts/generate_video.py --prompt "The scene comes to life with gentle wind" --input photo.jpg --output animated.mp4
Higher Quality (Pro)
Use the pro model for production-grade quality:
python skills/sora-video/scripts/generate_video.py --prompt "A cinematic sunset over mountains" --model sora-2-pro --size 1792x1024 --seconds 12 --output cinematic.mp4
Script Arguments
| Argument | Short | Required | Default | Description |
|---|---|---|---|---|
--prompt |
-p |
Yes | -- | Text description of the desired video |
--output |
-o |
No | generated_video.mp4 |
Output file path |
--input |
-i |
No | -- | Reference image for image-to-video mode |
--model |
-m |
No | sora-2 |
Model: sora-2 or sora-2-pro |
--seconds |
-s |
No | 8 |
Duration: 4, 8, or 12 |
--size |
No | 1280x720 |
Resolution (see table below) | |
--timeout |
No | 600 |
Max wait time in seconds |
Available Sizes
| Size | Orientation | Models |
|---|---|---|
1280x720 |
Landscape | sora-2, sora-2-pro |
720x1280 |
Portrait | sora-2, sora-2-pro |
1792x1024 |
Landscape HD | sora-2-pro only |
1024x1792 |
Portrait HD | sora-2-pro only |
What ships with it
1 file 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.
- 2mo ago First seen · 157 lines · 59 tokens per session scan A a5159f7283c3
sora-video is a skill published in the GitHub repository fltman/create-agentic-product (48 stars, last pushed 9d ago), licensed MIT. It adds 59 tokens to every session and 1,338 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 2026-08-30.
sora-video compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| sora-videofltman/create-agentic-product | Skill | 48 | 9d ago | MIT | A | 59 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |