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-editgit 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-edit)<a href="https://agentmods.dev/skills/orkas-ai/orkas/stage-edit"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas/stage-edit.svg" alt="Measured on agentmods" 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 | $0.03382 |
| Opus 5 | $0.00000 | $0.01691 |
| Sonnet 5 | $0.00000 | $0.00676 |
| Haiku 4.5 | $0.00000 | $0.00338 |
Grade A, and why
stage-edit 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 9d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
stage-edit
For the VideoStudio EDIT line, the edit decision list lives in project/plan.json and gate-control owns its Gate B authorization transition. Start/resume execution with production.status; do not run trims, assembly, or localization against a changed or unsigned EDL. Runtime status/produced_path updates do not invalidate the signed creative plan, but changing cuts, copy, source allocation, or delivery settings does.
How to intelligently edit real user-supplied footage while keeping the source and every decision auditable. Deterministic operations still handle cuts, joins, captions, overlays, reframes, and audio. When the request changes pixels semantically—remove an object, alter a background, relight a shot, or make another content-aware local change—keep the EDIT route and execute only that bounded segment through signed video operation:"edit" after paid-generation approval.
Where the footage comes from. A user-uploaded clip arrives as a chat attachment marked model_readable="false" with a path (see the attachment list). That flag means "not vision input", NOT "unusable" — the file is exactly what these media scripts operate on. Copy it into the project's raw/ (or pass its attachment path directly as --input) before probing; never treat a model_readable="false" clip as something to skip.
Intelligent edit contract
Write project/plan.json::edit_strategy whenever VideoStudio decides what to change rather than merely executing user-supplied timecodes:
-
mode:deterministicfor transcript/OCR/scene/silence/quality/vision-driven timeline decisions,semanticfor AI pixel changes, ormixedwhen both are necessary. All four fields below are non-empty arrays of strings — one entry per item, never a single sentence.objectivesis the one most often written as prose; the validator rejects a bare string withE_EDIT_STRATEGY_BOUNDARY. -
objectives: the exact editorial or pixel-level changes requested, one per entry. -
decision_signals: the provenance list of evidence actually used (timecode,transcript,ocr,scene,silence,quality,vision,semantic_model). Include each supplied or analyzed signal that supports the decision, not only the signal used to execute it. -
preserveandmay_change: non-overlapping boundaries.may_changemust name every class of change the user authorized — omitting one silently narrows the plan's declared authority below what they asked for.
What ships with it
5 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.
- 9d ago First seen · 140 lines · 0 tokens per session scan A 6318ec4686f1
stage-edit is a skill published in the GitHub repository Orkas-AI/Orkas (1,808 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,382 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…