Orkas is a desktop application for commanding a team of AI agents through one chat, with a commander model assigning work to specialist agents in parallel or in sequence. People use it to coordinate research, writing, presentations, and software tasks while keeping files on their computer. The catalogue includes skills for extending the agents available to Orkas.
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 --skill stage-composegit clone --depth 1 https://github.com/Orkas-AI/OrkasWrote 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/stage-compose)<a href="https://agentmods.dev/skills/orkas-ai/orkas/stage-compose"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas/stage-compose/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/stage-compose"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas/stage-compose.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 | $0.00002 | $0.02538 |
| Opus 5.5 | $0.00001 | $0.01015 |
| Sonnet 5.5 | $0.00000 | $0.00508 |
| Haiku 4.5 | $0.00000 | $0.00254 |
Grade A, and why
stage-compose 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.
How it starts
The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
stage-compose
Author an Orkas HTML composition and turn it into video. In Orkas, lint,
inspect, snapshot, draft, and export run through built-in video_studio.
Apply frontend-design before writing manifest.art_direction. When the user
provides a reference image/video, DESIGN.md, brand guide, screenshot, design
notes, or named style, apply design-system-importer to create intent-bound
media constraints and compact tokens. After snapshot, apply
composition-design-review yourself as an advisory frame checklist; it never
replaces native QA or creates a gate.
All COMPOSE stops and authorization transitions belong to gate-control. This
Skill supplies the manifest, contact sheet, draft, QA evidence, and readiness;
pass those facts to gate-control rather than restating approval policy.
No-runtime advisory package
When production tools cannot run, follow gate-control's complete unexecuted-
package protocol and read
no-runtime-package.md. Read it only on that
branch; ordinary runtime work never needs it.
QA response kernel
Every QA failure or recovery handoff carries the current reviewable artifact
package, not only a reason: returned current_candidate, contact sheet or
sampled frames, failed draft when present, and findings_path/inline findings.
Label it current but unapproved, state the bounded repair and next cheap check,
and omit fields not returned. If review_package.presentation_required:true,
show primary_artifact, summarize conclusion, and keep other paths as evidence.
With no media, show the returned manifest or authored HTML.
Ask only for a real creative/cost choice, with concrete options derived from the
artifact. Do not expose native error ids, Gate labels, repair budgets,
signatures, or schema jargon. Translate a result into: what needs work, what
remains safe, and the concrete repair/next check. In Chinese, say 生成旁白音频,
将旁白音频加入视频, or 旁白音频生成失败, never 旁白物化.
Top-level continuation fields outrank prose errors:
What ships with it
6 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.
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.
- 1mo ago Changed · +1 lines 2cca86163ab7
- 1mo ago Changed · +2 lines 0fcfe1b85029
- 1mo ago First seen · 197 lines · 2 tokens per session scan A 0706d071ac23
stage-compose is a skill published in the GitHub repository Orkas-AI/Orkas (2,152 stars, last pushed yesterday), licensed MIT. It adds 2 tokens to every session and 2,538 once invoked, about $0.0000 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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