ai-agentic-video-editor

ai-agentic-video-editor is a skill for Claude Code, Codex from brajendrak00068/agentic-ai-video-production. It costs 19 tokens per session (724 once invoked), scanned A, original, MIT.

A video-editing tool that turns a multi-step editing brief into timeline changes, checks the result and exports an MP4 video. A timeline is the ordered sequence of video and audio clips in an editor.

In plain words
What is it for?
Use it to execute editing plans, preview them for approval, verify timeline continuity and export the finished video.
Why use it?
It reduces the manual work of carrying out several edits and checking that clips remain continuous. It can pause after planning so the proposed changes can be reviewed first.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to execute editing plans, preview them for approval, verify timeline continuity and export the finished video.

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Install with agentmods
npx agentmods add skills/brajendrak00068/agentic-ai-video-production/ai-agentic-video-editor
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 brajendrak00068/agentic-ai-video-production --skill ai-agentic-video-editor
Clone the repo
git clone --depth 1 https://github.com/brajendrak00068/agentic-ai-video-production

Made for: Claude Code, 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 ai-agentic-video-editor

README.md
[![agentmods](https://agentmods.dev/badge/skills/brajendrak00068/agentic-ai-video-production/ai-agentic-video-editor/github.svg)](https://agentmods.dev/skills/brajendrak00068/agentic-ai-video-production/ai-agentic-video-editor)
Your own site
<a href="https://agentmods.dev/skills/brajendrak00068/agentic-ai-video-production/ai-agentic-video-editor"><img src="https://agentmods.dev/badge/skills/brajendrak00068/agentic-ai-video-production/ai-agentic-video-editor/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 ai-agentic-video-editor

Your own site · 80×15
<a href="https://agentmods.dev/skills/brajendrak00068/agentic-ai-video-production/ai-agentic-video-editor"><img src="https://agentmods.dev/badge/skills/brajendrak00068/agentic-ai-video-production/ai-agentic-video-editor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 724 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.
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 $0.00019 $0.00724
Opus 5.5 $0.00008 $0.00290
Sonnet 5.5 $0.00004 $0.00145
Haiku 4.5 $0.00002 $0.00072

Measured 2d ago against content hash 7d996111003b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-agentic-video-editor 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 2d 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.

skills/ai-agentic-video-editor/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Autonomous Timeline Video Editor

Compile and execute multi-step video editing plans with automated timeline verification.

Setup

This skill calls the Levea (livecore.ai) editing service, which requires a Levea account and API key.

  1. Sign up and generate an API key at https://livecore.ai/?openclaw=1&utm_source=clawhub&utm_medium=skill&utm_campaign=ai-agentic-video-editor
  2. Provide the key to the tool you use:
    • OpenClaw plugin openclaw-ai-video-editor (ClawHub): set apiKey in the plugin config.
    • MCP server levea-mcp-server (npm): set LEVEA_API_KEY in the MCP server config. LEVEA_API_URL is optional and defaults to https://api.livecore.ai.
  3. Describe the edit you want in plain language; the tool returns a project ID and, after export, an MP4 URL.

When to use

  • Executing multi-step video editing briefs in a single tool call.
  • Previewing an edit plan with requirePlanApproval before applying changes.
  • Verifying timeline continuity and exporting MP4 output.

Tool interface

Use the registered ai-video-editor (OpenClaw plugin) or autonomous_edit (MCP server) tool to run edits against a project timeline.

Tool parameters

  • prompt (string, required): Description of the video edit to perform.
  • project_id (string, optional): Project identifier returned by a prior call for multi-turn continuity.
  • video_url (string, optional): Source video URL when starting a new project.
  • captionTemplatePreset (string, optional): Built-in caption style slug (for example hormozi, viral-pop, karaoke, minimal-pro).
  • captionTemplateMode (string, optional): One of add, recreate, style, translate, clear, remove_fillers.
  • requirePlanApproval (boolean, optional): When true, pauses after planning and returns workingMemory for user confirmation.
  • workingMemory (object, optional): State object from a paused plan-approval call.

Example tool input

{
  "prompt": "Reframe the video to 9:16, remove silences, add bottom captions, and verify timeline layout.",
  "project_id": "project_example_01"
}

Read the full file on GitHub · 67 lines

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. 2d ago Changed · +5 lines 7d996111003b
  2. 6d ago Changed · +5 lines 8372b92bdbc4
  3. 8d ago First seen · 57 lines · 19 tokens per session scan A 6b35d6006022

Subscribe to this mod's changes

ai-agentic-video-editor is a skill published in the GitHub repository brajendrak00068/agentic-ai-video-production (3 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 724 once invoked, about $0.0001 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 2026-10-20.

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