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 metaspartan/cybara --skill media-processinggit clone --depth 1 https://github.com/metaspartan/cybaraWrote 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/metaspartan/cybara/media-processing)<a href="https://agentmods.dev/skills/metaspartan/cybara/media-processing"><img src="https://agentmods.dev/badge/skills/metaspartan/cybara/media-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/metaspartan/cybara/media-processing"><img src="https://agentmods.dev/badge/skills/metaspartan/cybara/media-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 | $0.00024 | $0.00236 |
| Opus 5.5 | $0.00010 | $0.00094 |
| Sonnet 5.5 | $0.00005 | $0.00047 |
| Haiku 4.5 | $0.00002 | $0.00024 |
Grade A, and why
media-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 1mo 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
Media processing
Use FFprobe to inspect source media and FFmpeg for deterministic transformations.
Workflow
- Inspect streams, codecs, duration, frame rate, dimensions, color metadata, channels, and sample rate.
- Preserve the source and write transformed output to a distinct path.
- Select codecs and quality settings from the requested delivery target rather than using arbitrary defaults.
- Preserve aspect ratio and avoid unintended frame-rate or color-space conversion.
- Validate output with FFprobe, decode checks, file size, duration, and representative frame or waveform inspection.
- Report the command, input and output paths, key media properties, and validation result.
Safety
- Confirm before overwriting media or deleting intermediates.
- Quote paths and avoid shell interpolation of untrusted metadata.
- Bound preview extraction and do not decode an entire large asset when samples are sufficient.
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.
- 1mo ago First seen · 25 lines · 24 tokens per session scan A 172ccc594e4e
media-processing is a skill published in the GitHub repository metaspartan/cybara (32 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 236 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 2026-08-30.
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