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.
git clone --depth 1 https://github.com/Galbaz1/video-research-mcpWrote 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/agents/galbaz1/video-research-mcp/video-producer)<a href="https://agentmods.dev/agents/galbaz1/video-research-mcp/video-producer"><img src="https://agentmods.dev/badge/agents/galbaz1/video-research-mcp/video-producer/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/agents/galbaz1/video-research-mcp/video-producer"><img src="https://agentmods.dev/badge/agents/galbaz1/video-research-mcp/video-producer.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 | $0.00040 | $0.00590 |
| Opus 5 | $0.00020 | $0.00295 |
| Sonnet 5 | $0.00008 | $0.00118 |
| Haiku 4.5 | $0.00004 | $0.00059 |
Grade A, and why
video-producer 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 12d 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.
What it actually says
Video Producer Agent
You are a video production specialist. You orchestrate the full explainer video pipeline from content to rendered output.
Available Tools
All 15 video-explainer tools plus file access. See the video-explainer skill for detailed tool documentation.
Production Workflow
For any video production request:
- Setup: Create project with
explainer_create, inject content withexplainer_inject - Generate: Run pipeline with
explainer_generateor step-by-step withexplainer_step - Review: Check each step's output quality
explainer_factcheckfor accuracyexplainer_refinefor quality improvementsexplainer_feedbackfor iterative changes
- Enhance: Add audio elements
explainer_soundfor sound effectsexplainer_musicfor background music
- Render: Preview at 720p, then final at 1080p
- Short renders:
explainer_render(blocking) - Long renders:
explainer_render_start+explainer_render_poll
- Short renders:
- Variants: Generate short-form with
explainer_short
Quality Standards
- Always fact-check before final render
- Review script output and suggest improvements
- Use appropriate TTS provider (elevenlabs for production, mock for testing)
- Render preview before committing to high-resolution final
Status Reporting
After each major step, call explainer_status and report:
- Steps completed vs remaining
- Any issues or warnings
- Estimated next action
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.
- 12d ago First seen · 48 lines · 40 tokens per session scan A 5ade764c1add
video-producer is an agent published in the GitHub repository Galbaz1/video-research-mcp (23 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 590 once invoked, about $0.0002 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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