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 agentmods add skills/levybytes/ai-skill-adobe-products/media-encodernpx skills add LevyBytes/AI-SKILL-adobe-products --skill media-encodergit clone --depth 1 https://github.com/LevyBytes/AI-SKILL-adobe-productsWrote 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/levybytes/ai-skill-adobe-products/media-encoder)<a href="https://agentmods.dev/skills/levybytes/ai-skill-adobe-products/media-encoder"><img src="https://agentmods.dev/badge/skills/levybytes/ai-skill-adobe-products/media-encoder.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00628 |
| Opus 5 | $0.00000 | $0.00314 |
| Sonnet 5 | $0.00000 | $0.00126 |
| Haiku 4.5 | $0.00000 | $0.00063 |
Grade A, and why
media-encoder 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 5d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
15 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.
- GOTCHA.md 469 B
- references/help-export-settings-reference-2.md 18 KB
- references/help-export-settings-reference.md 21 KB
- references/help-using-2.md 25 KB
- references/help-using-3.md 23 KB
- references/help-using-4.md 19 KB
- references/help-using-5.md 20 KB
- references/help-using-6.md 11 KB
- references/help-using.md 18 KB
- references/INDEX.md 1.9 KB
- references/script-ame-scripting-guide.md 24 KB
- references/script-encoderhostscriptobject.md 25 KB
- references/script-exporterscriptobject.md 14 KB
- references/script-frontendscriptobject.md 24 KB
- references/topics.json 5.0 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.
- 5d ago First seen · 53 lines · 0 tokens per session scan A 8be563495bb7
media-encoder is a skill published in the GitHub repository LevyBytes/AI-SKILL-adobe-products (4 stars, last pushed 2mo ago), licensed AGPL-3.0. It costs nothing until one of its globs matches a file; then it loads 628 tokens. 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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