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-generategit 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-generate)<a href="https://agentmods.dev/skills/orkas-ai/orkas/stage-generate"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas/stage-generate/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-generate"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas/stage-generate.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 | $0.00000 | $0.02130 |
| Opus 5 | $0.00000 | $0.01065 |
| Sonnet 5 | $0.00000 | $0.00426 |
| Haiku 4.5 | $0.00000 | $0.00213 |
Grade A, and why
stage-generate 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 10d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- stage-generate — 86% identical, 36 lines differ
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
stage-generate
How to produce AI-generated footage and how to execute a bounded semantic video edit already planned by the EDIT/AUTO workflow. Designed HTML remains composition work; deterministic cutting remains stage-edit work. In Orkas use generate_image, generate_video, and generate_speech, then assemble through stage-edit. Every billable call belongs to a signed project/plan.json generate segment and carries production_plan_path plus production_segment_id.
Pattern A — talking-head / spokesperson (口播 / 数字人)
- Character still: generate one image of the presenter / avatar with the intended look. Keep this reference image and reuse it for every shot of the same character.
- Bring it to life: generate a video from that image (image-to-video). When the provider returns speech + built-in audio, that audio is the deliverable voice — it is lip-synced to the mouth in the clip — so keep it and do NOT synthesize a separate narration. Only when the clip comes back silent do you synthesize the narration (
generate_speech) and add it as the audio track. Synthesizing a fresh TTS track over a clip that already speaks is the #1 talking-head defect: the new audio has different wording/timing/length, so the voice no longer matches the lips. - Polish: add captions / a lower-third / a hook by authoring a small composition (composition skill) and overlaying it onto the clip — visual-only. Preserve the clip's own (lip-synced) audio through assembly; a captions composition must not carry a narration
<audio>track that would replace the clip's voice.
Pattern B — cinematic / AI b-roll montage
- Storyboard the shots (each: prompt, camera motion, duration).
- Generate each shot (one generate-video call per shot; reuse a shared reference image / consistent style prompt for visual continuity).
- Assemble: concatenate the shots in order, add transitions, and overlay a title / captions from a composition.
Consistency (basic — deep consistency is a later capability)
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.
- 10d ago First seen · 72 lines · 0 tokens per session scan A a8d079b416b8
stage-generate is a skill published in the GitHub repository Orkas-AI/Orkas (1,848 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,130 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.
Other skills, from other repositories
video-editing-planner
Suggests editing structure, scene cuts, transitions, and pacing for improved video content quality and engagement.
video-script-generator
Generates video scripts with hooks, structured sections, pacing, and call-to-actions optimized for engagement and retention.
caption-subtitle-formatter
Formats captions and subtitles for readability, timing, and accessibility across videos.
infographic-builder
Turns textual content into structured infographic formats suitable for reports, presentations, and educational materials.
recording
Capture screen recordings and screenshots on any registered computer (macOS, Windows, Linux, HarmonyOS) and manage the recording library.
deepchat-cli
Use DeepChat's bundled CLI control plane for model inference, image/video/speech generation, transcription, OCR, artifact inspection, public configuration, Skills, and MCP operations. Activate when a user asks to invoke DeepChat capabilities that are not already exposed as a more specific tool, compare models, run a…