OpenChatCut is an open-source, local-first video editor that combines conversational AI agents with editable projects containing professional multitrack timelines, media, effects, and exports. Creators and developers use it to have agents perform video-editing work while retaining manual control over the project. The catalogue entries provide agent skills and MCP integration for operating the editor.
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 0xsline/OpenChatCut --skill asset-importgit clone --depth 1 https://github.com/0xsline/OpenChatCutWrote 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/0xsline/openchatcut/asset-import)<a href="https://agentmods.dev/skills/0xsline/openchatcut/asset-import"><img src="https://agentmods.dev/badge/skills/0xsline/openchatcut/asset-import.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 12 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.
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 | $0.00062 | $0.00814 |
| Opus 5 | $0.00031 | $0.00407 |
| Sonnet 5 | $0.00012 | $0.00163 |
| Haiku 4.5 | $0.00006 | $0.00081 |
Grade A, and why
asset-import 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 8d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 8d ago First seen · 36 lines · 62 tokens per session scan A 80e0f062d36e
asset-import is a skill published in the GitHub repository 0xsline/OpenChatCut (1,615 stars, last pushed yesterday), licensed AGPL-3.0. It adds 62 tokens to every session and 814 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.
Other skills, from other repositories
Monet
Skill "Monet" from Monet-AI-Editor/Monet, covering ai video editor — agent control reference, ⚠️ finding editorctl — mandatory (read this first), ⚠️ output file naming — mandatory (read this first), ⚠️ audio on multi-clip timelines — mandatory and ⚠️ canvas mode — mandatory rules (read this first).
clash
Operate every Clash project workflow through the Clash MCP or peer CLI, including Canvas, Assets, Project media generation or editing, background Generator runs, Timeline, and Director Stage. Use this skill whenever the current workspace is a Clash project or the user asks Clash to create, generate, edit, import…
clash-mg-character
Create expressive motion-graphics characters as editable Remotion TSX, connect them to a Clash Timeline through a live Canvas source, and judge their final rendered performance. Use this skill whenever a brief calls for an animated mascot, geometric character, presenter, reaction figure, or character-led motion…
agentic-video-creator
Use whenever an agent should autonomously turn a natural-language brief into a finished Clash video workflow: organize one or more draft Canvases by creative context or sequence, keep storyboard/A-roll/B-roll together in grouped generation paths, ask for only high-leverage human choices, select assets, and assemble…
clash-timeline
Open, inspect, create, and edit Clash Project Timelines through the bundled Timeline GUI and typed MCP tools.
clash-director-production
Direct stronger staged video scenes through dramatic beats, expressive blocking, motivated cameras, readable action, and critical visual review.