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-assemblegit 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-assemble)<a href="https://agentmods.dev/skills/orkas-ai/orkas/stage-assemble"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas/stage-assemble/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-assemble"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas/stage-assemble.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 27 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 93 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
- medium Excessive Agency · line 118 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
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 | $0.00003 | $0.05322 |
| Opus 5.5 | $0.00001 | $0.02129 |
| Sonnet 5.5 | $0.00001 | $0.01064 |
| Haiku 4.5 | $0.00000 | $0.00532 |
Grade A, and why
stage-assemble scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
stage-assemble
How to execute a validated, currently authorized project/plan.json into one finished file. Start/resume with production.status; if plan_approval_current is false, pass the state to gate-control and stop instead of producing or opening child gates. Walk the signed EDL; do not re-plan. Host-neutral: VideoStudio-specific edit/plan work runs through skill scripts (stage-edit edit_video, stage-plan video_plan via bin/run-skill.cjs), while authorization state, composition, and transcription run through the required built-in video_studio runtime; generic built-in capabilities remain generate_video / generate_image / generate_speech.
Apply production-method.md before assembly or QA. If the current plan has is_generation:true, deliver its completed model clip directly after its basic file check; skip the local assembly tiers and detailed QA below. For mixed work, these checks cover local integration, not creative quality of model-produced pixels.
Script calls used here
"$ORKAS_NODE" "$ORKAS_PC_DIR/bin/run-skill.cjs" stage-edit edit_video -- --op concat --inputs project/parts/a.mp4,project/parts/b.mp4 --output project/render/primary.mp4
"$ORKAS_NODE" "$ORKAS_PC_DIR/bin/run-skill.cjs" stage-edit edit_video -- --op mix --input project/render/primary.mp4 --audio-segments @project/audio_segments.json --output project/render/mixed.mp4
"$ORKAS_NODE" "$ORKAS_PC_DIR/bin/run-skill.cjs" stage-edit edit_video -- --op normalize_loudness --input project/render/draft.mp4 --output project/render/video.mp4
When this document says stage-edit edit_video --op ..., call the matching bin/run-skill.cjs command above with the relevant paths. For compose/transcription work, call video_studio directly. Do not call deprecated direct tools.
Step 1 — Produce each segment (delegate by source)
Iterate segments in order. For each, produce its produced_path according to source, then write that path + status:"done" back into the segment so a resume never re-produces it:
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 · +2 lines 175922677ff7
- 1mo ago First seen · 131 lines · 3 tokens per session scan A 8853f4c14c9c
stage-assemble is a skill published in the GitHub repository Orkas-AI/Orkas (2,172 stars, last pushed 2d ago), licensed MIT. It adds 3 tokens to every session and 5,322 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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