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.
npx skills add Orkas-AI/Orkas-VideoStudio --skill composition-design-reviewgit clone --depth 1 https://github.com/Orkas-AI/Orkas-VideoStudioWrote 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/orkas-ai/orkas-videostudio/composition-design-review)<a href="https://agentmods.dev/skills/orkas-ai/orkas-videostudio/composition-design-review"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-videostudio/composition-design-review/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/orkas-ai/orkas-videostudio/composition-design-review"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-videostudio/composition-design-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00052 | $0.01257 |
| Opus 5 | $0.00026 | $0.00629 |
| Sonnet 5 | $0.00010 | $0.00251 |
| Haiku 4.5 | $0.00005 | $0.00126 |
Grade A, and why
composition-design-review 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 yesterday.
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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
composition-design-review
Use this after stage-compose has run ovs snapshot, before showing the visual preview. The snapshot's frame_paths are the complete review set. Read every cell of the contact-sheet index, then open frame zero, QA-named frames and cells with doubtful text, overlap or blankness at full size. Never infer a clean unseen frame.
If the visual preview is intentionally skipped, run the same review against representative draft frames after an ok ovs draft report. This is a design QA layer, not a renderer, line router, or generic video craft checklist. It does not create a new user gate or approval field.
Activation
- Run for every visual preview before that preview is shown.
- Use the post-draft fallback for design-sensitive COMPOSE work when no preview was shown, including brand, product, promo, launch, version-update, portfolio, or other design-led work.
- Also use the fallback when the draft shows a visible design risk that deterministic QA cannot judge, such as a weak first frame, flat hierarchy, repeated scene grammar, or motion that hides the message.
Do not run the post-draft fallback for ordinary edit/TTS/clip-selection work, simple caption cards, or generic "make it polished" wording without a visible design risk.
Review Inputs
Read only the relevant artifacts:
project/composition/composition-manifest.json- Every composition-local image/video in
art_direction.references, including its intent, roles, preserve/may-change boundary, target scenes, and spatial/temporal anchors - Every immutable path in the latest successful snapshot's
frame_paths project/composition/qa/check.json- For the fallback only:
project/render/draft-report.jsonand representative draft frames - Legacy approved script/shotlist only when a finding depends on message intent
Do not review mutable aliases as if they were frozen evidence. Preserve the reviewed frame_paths in the review result so the exact revision is auditable.
Findings Rubric
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.
- yesterday Changed · -12 lines · -3 tokens per session 646909610ab5
- 12d ago First seen · 94 lines · 55 tokens per session scan A 2b42ffedee98
composition-design-review is a skill published in the GitHub repository Orkas-AI/Orkas-VideoStudio (486 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 1,257 once invoked, about $0.0003 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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