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 IAPro-Community/Orquestrador-Maestro --skill skill-manual-video-processinggit clone --depth 1 https://github.com/IAPro-Community/Orquestrador-MaestroWrote 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/iapro-community/orquestrador-maestro/skill-manual-video-processing)<a href="https://agentmods.dev/skills/iapro-community/orquestrador-maestro/skill-manual-video-processing"><img src="https://agentmods.dev/badge/skills/iapro-community/orquestrador-maestro/skill-manual-video-processing/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/iapro-community/orquestrador-maestro/skill-manual-video-processing"><img src="https://agentmods.dev/badge/skills/iapro-community/orquestrador-maestro/skill-manual-video-processing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00055 | $0.00598 |
| Opus 5 | $0.00028 | $0.00299 |
| Sonnet 5 | $0.00011 | $0.00120 |
| Haiku 4.5 | $0.00006 | $0.00060 |
Grade A, and why
skill-manual-video-processing 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.
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Manual Video Processing
Use this skill when users upload videos or audio for transcription, clipping, editing, proposal generation, content creation, review, or publishing workflows.
Upload Contract
- Validate tenant quota, file type, extension, MIME sniffing result, file size, duration, codec, and requested processing level.
- Use resumable or direct-to-storage upload for large files; avoid streaming whole files through application memory.
- Store uploads in private buckets by default and expose only signed URLs.
- Create or reserve a
media_assetsrecord before upload and finalize it only after checksum and metadata validation. - Create a
media_jobsrecord after upload completion and before expensive processing. - Run malware, abuse, copyright, and content checks when the product accepts untrusted files or public uploads.
- Queue processing stages and make them idempotent by asset checksum, job ID, stage name, and processing options hash.
- Separate upload completion, processing completion, review approval, and publishing as distinct user-visible states.
- Require explicit consent before using uploaded voice, face, customer data, or third-party media for AI generation or publication.
- Minimize tokens by chunking transcripts, caching metadata, and sending only relevant segments to AI services.
Expected Flow
- Request upload permission and validate quota.
- Upload directly to private storage.
- Finalize asset metadata and checksum.
- Queue processing job.
- Extract metadata and audio.
- Run transcription, AI enrichment, and clip detection when requested.
- Save generated assets and review state.
- Publish only after approval or explicit auto-publish consent.
- Emit analytics and audit events.
Data Model Hints
media_assets: tenant ID, owner ID, storage path, original name hash, MIME type, size, duration, checksum, scan status, retention deadline.media_jobs: asset ID, requested outputs, status, current stage, idempotency key, retry count, error class.media_reviews: job ID, reviewer ID, decision, notes, approved asset IDs, timestamp.
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 · 56 lines · 55 tokens per session scan A c688e067bff8
skill-manual-video-processing is a skill published in the GitHub repository IAPro-Community/Orquestrador-Maestro (42 stars, last pushed today), licensed Apache-2.0. It adds 55 tokens to every session and 598 once invoked, about $0.0003 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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