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 auto-captions-subtitlesgit 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/auto-captions-subtitles)<a href="https://agentmods.dev/skills/brajendrak00068/agentic-ai-video-production/auto-captions-subtitles"><img src="https://agentmods.dev/badge/skills/brajendrak00068/agentic-ai-video-production/auto-captions-subtitles/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/auto-captions-subtitles"><img src="https://agentmods.dev/badge/skills/brajendrak00068/agentic-ai-video-production/auto-captions-subtitles.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 | $0.00021 | $0.00734 |
| Opus 5.5 | $0.00008 | $0.00294 |
| Sonnet 5.5 | $0.00004 | $0.00147 |
| Haiku 4.5 | $0.00002 | $0.00073 |
Grade A, and why
auto-captions-subtitles 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.
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.
Auto Captions and Subtitles
Generate synchronized word-by-word animated captions and translated subtitles for video timelines.
Setup
This skill calls the Levea (livecore.ai) editing service, which requires a Levea account and API key.
- Sign up and generate an API key at https://livecore.ai/?openclaw=1&utm_source=clawhub&utm_medium=skill&utm_campaign=auto-captions-subtitles
- Provide the key to the tool you use:
- OpenClaw plugin
openclaw-ai-video-editor(ClawHub): setapiKeyin the plugin config. - MCP server
levea-mcp-server(npm): setLEVEA_API_KEYin the MCP server config.LEVEA_API_URLis optional and defaults tohttps://api.livecore.ai.
- OpenClaw plugin
- Describe the edit you want in plain language; the tool returns a project ID and, after export, an MP4 URL.
When to use
- Generating word-level synchronized captions from a video audio track.
- Styling subtitles with built-in typography presets such as karaoke or pill highlights.
- Translating timeline captions into another language.
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 examplehormozi,viral-pop,karaoke,minimal-pro).captionTemplateMode(string, optional): One ofadd,recreate,style,translate,clear,remove_fillers.requirePlanApproval(boolean, optional): Whentrue, pauses after planning and returnsworkingMemoryfor user confirmation.workingMemory(object, optional): State object from a paused plan-approval call.
Example tool input
{
"prompt": "Generate word-by-word captions at the bottom of the frame using the viral-pop preset.",
"project_id": "project_example_01"
}
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.
- 2d ago Changed · +5 lines 9ff7528713af
- 6d ago Changed · +5 lines 6802491b1519
- 8d ago First seen · 57 lines · 21 tokens per session scan A f4b6366ab092
auto-captions-subtitles is a skill published in the GitHub repository brajendrak00068/agentic-ai-video-production (3 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 734 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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