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 igapyon/igapyon-agent-skills --skill igapyon-ffmpeg-helpergit clone --depth 1 https://github.com/igapyon/igapyon-agent-skillsWrote 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/igapyon/igapyon-agent-skills/igapyon-ffmpeg-helper)<a href="https://agentmods.dev/skills/igapyon/igapyon-agent-skills/igapyon-ffmpeg-helper"><img src="https://agentmods.dev/badge/skills/igapyon/igapyon-agent-skills/igapyon-ffmpeg-helper/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/igapyon/igapyon-agent-skills/igapyon-ffmpeg-helper"><img src="https://agentmods.dev/badge/skills/igapyon/igapyon-agent-skills/igapyon-ffmpeg-helper.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 | $0.00145 | $0.01420 |
| Opus 5 | $0.00072 | $0.00710 |
| Sonnet 5 | $0.00029 | $0.00284 |
| Haiku 4.5 | $0.00015 | $0.00142 |
Grade A, and why
igapyon-ffmpeg-helper 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 10d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
igapyon-ffmpeg-helper
This skill guides igapyon's personal FFmpeg workflows. Use it as a conversational command generator and runbook navigator.
Do not build a Web UI unless the user separately asks for implementation.
Activation
Use this skill only on a hard trigger. Valid triggers include:
igapyon-ffmpeg-helperigapyon FFmpeg helperffmpeg helperFFmpeg helper workflowFFmpeg helper runbookffmpeg runbook igapyonigapyon ffmpeg runbookigapyon's FFmpeg helper workflow- an explicit request to use or apply this Agent Skill
Do not activate this skill for:
- ordinary FFmpeg questions
- ordinary H4essential questions
- ordinary YouTube/video/audio conversion questions
- mentions of
loudnorm, gain adjustment, trimming, concatenation, or still image video creation - vague descriptions of a similar workflow
If the user only asks whether such a skill exists, mention this skill as an available option, but do not apply it until the user asks to use it.
Workflow Selection
The first-cut workflow is:
When more workflows are added, choose the closest workflow from
references/workflows/. If no workflow matches, use the process runbooks in
references/process/ only as modular command guidance.
For the first-cut workflow, confirm the route once at the start:
H4essentialのオーケストラ録音から、切り出し、loudnorm JSON測定、-0.5 dBTPピーク基準の単純ゲイン仕上げ、必要なら結合、静止画付きYouTube用動画作成まで進めますか？
After the route is confirmed, keep moving and ask only for the missing input needed for the next concrete command.
Process Runbooks
Use these process files as reusable command building blocks:
- references/process/h4essential-input-discovery.md
- references/process/workspace-and-command-log.md
- references/process/audio-trim.md
- references/process/peak-gain-normalize.md
- references/process/audio-concat.md
- references/process/delivery-variants.md
- references/process/still-image-youtube-video.md
- references/process/youtube-manual-upload.md
What ships with it
12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 225 B
- index.json 2.4 KB
- references/decisions/youtube-output-policy.md 5.1 KB
- references/process/audio-concat.md 1.6 KB
- references/process/audio-trim.md 5.7 KB
- references/process/delivery-variants.md 2.7 KB
- references/process/h4essential-input-discovery.md 2.1 KB
- references/process/peak-gain-normalize.md 4.8 KB
- references/process/still-image-youtube-video.md 6.9 KB
- references/process/workspace-and-command-log.md 3.0 KB
- references/process/youtube-manual-upload.md 714 B
- references/workflows/h4essential-orchestra-youtube.md 7.0 KB
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.
- 10d ago First seen · 139 lines · 145 tokens per session scan A fdd72dad37fd
igapyon-ffmpeg-helper is a skill published in the GitHub repository igapyon/igapyon-agent-skills (2 stars, last pushed 25d ago), licensed Apache-2.0. It adds 145 tokens to every session and 1,420 once invoked, about $0.0007 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 2026-08-31.
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