sora

sora is a skill for Codex from dp-archive/archive. It costs 84 tokens per session (1,962 once invoked), scanned A, original, Apache-2.0.

A tool for creating and managing short Sora video clips from text prompts or existing video IDs. Sora is OpenAI’s video-generation service.

In plain words
What is it for?
Use it for product demos, marketing clips, cinematic shots, UI mockups, video variations, and downloading videos, thumbnails, or sprite sheets.
Why use it?
It organizes video creation, remixing, status checks, downloads, and batch jobs into a repeatable command-line workflow.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it for product demos, marketing clips, cinematic shots, UI mockups, video variations, and downloading videos, thumbnails, or sprite sheets.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dp-archive/archive/sora
About the project

Skill Compose is an open-source platform for building and running AI agents that use modular skills. It is intended for creating skill-powered agents without workflow graphs or a command-line interface, and the catalogue skills are examples of those agent capabilities.

dp-archive/archive · 1,105 stars · on GitHub

Install

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.

Any agent
npx skills add dp-archive/archive --skill sora
Clone the repo
git clone --depth 1 https://github.com/dp-archive/archive

Made for: Codex.

Wrote 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.

agentmods badge for sora

README.md
[![agentmods](https://agentmods.dev/badge/skills/dp-archive/archive/sora/github.svg)](https://agentmods.dev/skills/dp-archive/archive/sora)
Your own site
<a href="https://agentmods.dev/skills/dp-archive/archive/sora"><img src="https://agentmods.dev/badge/skills/dp-archive/archive/sora/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.

agentmods 80×15 button for sora

Your own site · 80×15
<a href="https://agentmods.dev/skills/dp-archive/archive/sora"><img src="https://agentmods.dev/badge/skills/dp-archive/archive/sora.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,962 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00084 $0.01962
Opus 5.5 $0.00034 $0.00785
Sonnet 5.5 $0.00017 $0.00392
Haiku 4.5 $0.00008 $0.00196

Measured 1mo ago against content hash 13ac4711e544, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sora 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/sora.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • sora — 100% identical, 0 lines differ
seed_skills/sora/SKILL.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sora Video Generation Skill

Creates or manages short video clips for the current project (product demos, marketing spots, cinematic shots, UI mocks). Defaults to sora-2 and a structured prompt augmentation workflow, and prefers the bundled CLI for deterministic runs. Note: $sora is a skill tag in prompts, not a shell command.

When to use

  • Generate a new video clip from a prompt
  • Remix an existing video by ID
  • Poll status, list jobs, or download assets (video/thumbnail/spritesheet)
  • Batch runs (many prompts or variants)

Decision tree (create vs remix vs status/download vs batch)

  • If the user has a video id and wants a change → remix
  • If the user has a video id and wants status or assets → status/poll/download
  • If the user needs many prompts/assets → create-batch
  • If the user asks for two versions with a small change (same shot, different subject/detail) → create the base, then remix for the variation
  • Otherwise → create (or create-and-poll if they need a ready asset in one step)

Workflow

  1. Decide intent: create vs remix vs status/download vs batch.
  2. Collect inputs: prompt, model, size, seconds, and any input reference image.
  3. If batch: write a temporary JSONL under tmp/ (one job per line), run once, then delete the JSONL.
  4. Prefer CLI augmentation flags (--use-case, --scene, --camera, etc.) instead of pre-writing a structured prompt. If you already produced a structured prompt file, pass --no-augment to avoid double-wrapping.
  5. Run the bundled CLI (scripts/sora.py) with sensible defaults (see references/cli.md). For long prompts, prefer --prompt-file to avoid shell-escaping issues; pair with --no-augment if the prompt is already structured.
  6. For async jobs, poll until complete (or use create-and-poll).
  7. Download assets (video/thumbnail/spritesheet) and save locally.
  8. Remove intermediate files created during invocation (for example prompt.txt, remix_job.json, temp JSONL). If the sandbox blocks rm, skip cleanup or truncate the files without surfacing an error.
  9. Iterate with a single targeted change per prompt.

Read the full file on GitHub · 154 lines

Changes

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.

  1. 1mo ago First seen · 154 lines · 84 tokens per session scan A 13ac4711e544

Subscribe to this mod's changes

sora is a skill published in the GitHub repository dp-archive/archive (1,105 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 84 tokens to every session and 1,962 once invoked, about $0.0003 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.

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