stage-plan

stage-plan is a skill for Claude Code, Codex from Orkas-AI/Orkas-VideoStudio. It costs 0 tokens per session (3,811 once invoked), scanned A, original, MIT.

A planning layer for producing videos that combine several kinds of work, such as cutting footage, generating scenes, adding captions, and recording narration. It creates one edit plan describing the video’s segments and tracks.

In plain words
What is it for?
Use it for mixed video jobs, such as trimming footage, adding a title card and captions, and including voiceover or generated scenes.
Why use it?
It requires the supplied media to be inspected first, so the plan is based on real durations, formats, audio, and content rather than guesses.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for mixed video jobs, such as trimming footage, adding a title card and captions, and including voiceover or generated scenes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/orkas-ai/orkas-videostudio/stage-plan
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 Orkas-AI/Orkas-VideoStudio --skill stage-plan
Clone the repo
git clone --depth 1 https://github.com/Orkas-AI/Orkas-VideoStudio

Made for: Claude Code, 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 stage-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/orkas-ai/orkas-videostudio/stage-plan/github.svg)](https://agentmods.dev/skills/orkas-ai/orkas-videostudio/stage-plan)
Your own site
<a href="https://agentmods.dev/skills/orkas-ai/orkas-videostudio/stage-plan"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-videostudio/stage-plan/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 stage-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/orkas-ai/orkas-videostudio/stage-plan"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-videostudio/stage-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,811 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00000 $0.03811
Opus 5.5 $0.00000 $0.01524
Sonnet 5.5 $0.00000 $0.00762
Haiku 4.5 $0.00000 $0.00381

Measured 1mo ago against content hash 4eb9920788f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

stage-plan 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.

packages/skills/stage-plan/SKILL.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

stage-plan

How to turn "here is my material + here's the video I want" into a single, inspectable plan spanning reference images/videos, deterministic or semantic editing, generation, and composition. The output is project/plan.json—a cross-modal EDL that the assembler walks. Ingest with the public ovs analysis commands, validate with ovs plan, and execute through the compose/generate/edit lines.

Use this line when the deliverable is NOT cleanly one axis — e.g. "trim my clip, add a title card and captions, and a voiceover", or "my footage for the middle, generate an opener, compose the stats". For a pure single-axis job, route to that single line instead (see video-router).

Step 1 — Ingest from evidence, never from assumption

You cannot plan against material you have not looked at. For EVERY supplied clip, before writing any segment:

  1. Probe it (ovs edit probe) for real duration / resolution / fps / audio presence. A plan that cuts past the real duration breaks.
  2. Read its content the cheapest way that fits:
    • spoken audio → ovs transcribe raw/clip.mp4 --out project/transcripts/clip.json (pass --model large-v3 for non-English) → you now have timecoded words to cut on and a reusable transcript file for edit ops.
    • silent / screen-recording / slideshow → extract representative frames with ovs edit extract-frame and inspect them with the current multimodal model. The audio being empty does NOT mean the screen is. If you cannot inspect images, ask the user for the on-screen beats. Never infer slide/screen content from the topic alone.
    • need to judge what a moment LOOKS like (is the hero shot usable? is the product right-side up?) → read frames: ovs edit extract-frame then look at them. If you cannot see images, say so and plan on probe/transcript evidence alone — mark those judgments unverified, do not invent them.
  3. Record what each input is good for in project/ingest.json: {input_id, duration, has_audio, content_summary, quality_risks:[...], usable_for:[...], planning_implications:[...]}. This is the factual basis the plan cites — segments reference input_ids from here. Rules:
    • content_summary is specific and from observation: "45 s of interview, no b-roll, mono audio" — never "user provided footage". An entry is only "reviewed" if a real probe, transcript, or inspected extracted frame supports it; never claim you looked at a clip you did not.
    • Usability heuristics: video > 10 s → hero footage; > 3 s → b-roll; has speech → dialogue source; audio-only → narration/music source, production must supply the visuals; image-only → motion must come from animation or generation.
    • Quality risks to flag: width < 720 / height < 480 (will look soft), clip < 3 s (limited use), mono audio, a still where the brief wants motion. A flagged risk the plan ignores is a planning bug — resolve it during direction confirmation.

Read the full file on GitHub · 129 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 Changed 4eb9920788f6
  2. 1mo ago Changed · +2 lines fcf02c7cd57d
  3. 1mo ago Changed b22da90a2c1a
  4. 1mo ago First seen · 127 lines · 0 tokens per session scan A 6bbd5e10390e

Subscribe to this mod's changes

stage-plan is a skill published in the GitHub repository Orkas-AI/Orkas-VideoStudio (329 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,811 tokens. 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.

Related

Other skills, from other repositories

claude-real-video

Watch a video for the user. Use when the user shares a video URL (YouTube etc.) or local video file and wants it summarized, analyzed, or discussed — Claude can't ingest video directly, so this skill extracts scene-aware keyframes + transcript first, then reads those.

HUANGCHIHHUNGLeo/claude-real-video · 61 tokens

brain-ingest

The process for digesting a conversation, document, or research result, classifying it, and writing it down as brain content (a root-page update or a new/updated page) through the brain CLI.

mindmuxai/brain.md · 48 tokens

issue-resolve

Use when an assessed gflow-cli issue (verdict CONFIRMED-BUG or LIKELY-BUG) has localized, verifiable scope and should be driven to a fix. Mutating and gated: it works in an isolated worktree, fixes test-first, and opens a DRAFT PR for human review. Built to run autonomously (hermes-ops) within a strict action envelope…

ffroliva/gflow-cli · 97 tokens

issue-assessment

Use when triaging a GitHub issue for gflow-cli — a reporter's bug claim, a freshly-filed issue, or deciding whether and how to act on one. Also use when an autonomous agent (hermes-ops) picks up a labelled issue. Read-only: produces a verdict, an end-to-end-verifiability judgment, and a reporter-facing reply. Does not…

ffroliva/gflow-cli · 90 tokens

live-verify

Two-part gate for gflow-cli feature/fix work. Part 1 (Pre-flight): use when starting work on a gflow-cli feature or fix — confirms the checkout reflects current develop before investing effort. Part 2 (Live-verify): use before claiming gflow-cli work done, especially anything touching a generation code path…

ffroliva/gflow-cli · 100 tokens

sonar

Check the SonarCloud quality gate for a PR (or the current branch) and drive it to zero. Reports GREEN, or the exact PR-scoped new issues/hotspots/coverage gaps to fix.

ffroliva/gflow-cli · 45 tokens