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 brajendrak00068/agentic-ai-video-production --skill levea-video-editinggit clone --depth 1 https://github.com/brajendrak00068/agentic-ai-video-productionWrote 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/brajendrak00068/agentic-ai-video-production/levea-video-editing)<a href="https://agentmods.dev/skills/brajendrak00068/agentic-ai-video-production/levea-video-editing"><img src="https://agentmods.dev/badge/skills/brajendrak00068/agentic-ai-video-production/levea-video-editing/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/brajendrak00068/agentic-ai-video-production/levea-video-editing"><img src="https://agentmods.dev/badge/skills/brajendrak00068/agentic-ai-video-production/levea-video-editing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00033 | $0.00494 |
| Opus 5.5 | $0.00013 | $0.00198 |
| Sonnet 5.5 | $0.00007 | $0.00099 |
| Haiku 4.5 | $0.00003 | $0.00049 |
Grade A, and why
levea-video-editing 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 yesterday.
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.
What it actually says
Levea Video Editing
Use the levea_video_edit tool to perform video edits. Send the complete user intent as one natural-language
prompt; the Levea backend plans, executes, verifies, repairs, and exports. Do not split one request into many
small tool calls.
When to use
- Trimming, cutting, 9:16 vertical reframing, viral clips from long videos.
- Captions (caption templates such as
hormozi,viral-pop,karaoke,minimal-pro), titles, overlays, motion graphics. - B-roll, multicam podcast sync, audio cleanup, music, voiceover, color grading.
- Exporting the verified timeline to MP4.
Workflow
- First call: pass
promptplusvideo_url(orassets). Save the returnedprojectId. - Follow-up edits: always pass the same
project_id, so edits stack on the committed project. - Read
statusandsuccessfrom the result:success: truemeans the backend verified the edit. ReportvideoUrlwhen present.pendingwith ajobId: calllevea_job_statuswithwait: trueto get the rendered file.awaiting_approval: show the plan to the user; resend withworkingMemory(and optionaleditedPlan) to continue.partialorerror: tell the user what failed usingmessage; do not claim success.
- For very long edits use
levea_queue_edit(requiresproject_id) and polllevea_task_status. If a connection drops mid-edit,levea_active_taskreconnects to the running edit for a project.
Example
{
"prompt": "Cut this podcast into a 30 second 9:16 reel around the strongest hook, add bold animated captions, and export MP4.",
"video_url": "https://example.com/podcast.mp4"
}
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.
- yesterday First seen · 42 lines · 33 tokens per session scan A 9e4962734d52
levea-video-editing is a skill published in the GitHub repository brajendrak00068/agentic-ai-video-production (3 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 494 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 2026-10-27.
Other skills, from other repositories
kinocut
Use when an agent must edit local video safely. Kinocut guards planning, FFmpeg operations, subtitles, audio, analysis, quality gates, receipts, repurposing, and Hyperframes via MCP, Python, or CLI.
kinocut-repurpose
Use when turning one local video into a platform-ready short. Kinocut builds clip packages with manifests, review artifacts, and human approval gates.
mcp-video
Use when a tool or doc references mcp-video, the former name. Kinocut is the same guarded local video toolkit: inspect, edit, render, verify.
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