openchatcut

openchatcut is a skill for Codex from gabrielmoreira/agent-skills-mirror. It costs 81 tokens per session (585 once invoked), scanned A, original, MIT.

Instructions for connecting a coding agent to OpenChatCut, a local video editor designed to be controlled by AI agents.

In plain words
What is it for?
They help install and connect the editor, load editing guidance, and work with timelines, transcripts, captions, media, audio, motion graphics, color, and exports.
Why use it?
They provide the required setup and routing for inspecting or changing video projects, while helping recover from connection or editing errors.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit They help install and connect the editor, load editing guidance, and work with timelines, transcripts, captions, media, audio, motion graphics, color, and exports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gabrielmoreira/agent-skills-mirror/openchatcut
Install

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.

Any agent
npx skills add gabrielmoreira/agent-skills-mirror --skill openchatcut
Clone the repo
git clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirror

Made for: Codex.

Wrote 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.

agentmods badge for openchatcut

README.md
[![agentmods](https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/openchatcut/github.svg)](https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/openchatcut)
Your own site
<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/openchatcut"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/openchatcut/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.

agentmods 80×15 button for openchatcut

Your own site · 80×15
<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/openchatcut"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/openchatcut.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 585 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 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 MCP Rug Pull · line 51
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 57
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.00585
Opus 5 $0.00041 $0.00293
Sonnet 5 $0.00016 $0.00117
Haiku 4.5 $0.00008 $0.00059

Measured 7d ago against content hash 40b918da4c71, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

openchatcut 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 7d 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.

mirrors/repos/0xsline@OpenChatCut/skills/openchatcut/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenChatCut

OpenChatCut is a local-first, agent-native video editor. This skill is the single external entry point; specialized editing guidance remains inside the running editor and is loaded on demand with load_skill.

Route the task

  • Install, connect, or diagnose the MCP server: read references/getting-started.md.
  • Inspect or modify a project: read references/editing-workflow.md.
  • Recover from a failed tool call, stale session, or missing editor: read references/known-errors.md.

Essentials

  1. Start OpenChatCut before connecting. The default MCP endpoint is http://localhost:5199/api/external-mcp/mcp.
  2. Call openchatcut_status, then list_projects. Select a project only when the user names it or the current context identifies it.
  3. Call load_skill before specialized work. It is read-only and requires neither begin_edit_session nor editSessionId; available names and support files come from the live MCP tool description. With progressive exposure enabled, this call reveals the skill's referenced tools and emits tools/list_changed; refresh the list before continuing.
  4. Before project reads or edits, call begin_edit_session. Keep its editSessionId and pass it to every draft-safe editor tool.
  5. If begin_edit_session reports an active session, call list_edit_sessions. An orphaned session may be resumed or discarded with recover_edit_session using an action listed in recoveryActions; an online owner must finish or discard its own session.
  6. Use approvalMode: "manual" unless the user explicitly asks for unattended application. In manual mode, the user approves the complete proposal in OpenChatCut. In auto mode, review_edit_session applies the complete draft.
  7. Finish with review_edit_session. Report success only after get_edit_session returns applied.

Skill version

2026-09-04.1

The OpenChatCut MCP server announces its required skill baseline. If the server baseline is newer, run:

Read the full file on GitHub · 59 lines

Files

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.

Changes

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.

  1. 7d ago Changed · +4 lines 40b918da4c71
  2. 12d ago First seen · 55 lines · 81 tokens per session scan A c31e782b5c90

Subscribe to this mod's changes

openchatcut is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (17 stars, last pushed yesterday), licensed MIT. It adds 81 tokens to every session and 585 once invoked, about $0.0004 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.

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