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 ihatesea69/kiro-kit --skill media-processinggit clone --depth 1 https://github.com/ihatesea69/kiro-kitWrote 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/ihatesea69/kiro-kit/media-processing)<a href="https://agentmods.dev/skills/ihatesea69/kiro-kit/media-processing"><img src="https://agentmods.dev/badge/skills/ihatesea69/kiro-kit/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/ihatesea69/kiro-kit/media-processing"><img src="https://agentmods.dev/badge/skills/ihatesea69/kiro-kit/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 | $0.00034 | $0.00339 |
| Opus 5.5 | $0.00014 | $0.00136 |
| Sonnet 5.5 | $0.00007 | $0.00068 |
| Haiku 4.5 | $0.00003 | $0.00034 |
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
Activate this skill when processing media files (video, audio, images).
When to Use
- Converting media formats
- Encoding video with specific codecs
- Extracting audio from video
- Resizing or cropping images
- Generating thumbnails
- Creating streaming manifests (HLS/DASH)
- Batch processing media files
FFmpeg Common Operations
# Convert format
ffmpeg -i input.mp4 -c:v libx264 -crf 23 output.mp4
# Extract audio
ffmpeg -i video.mp4 -vn -acodec libmp3lame audio.mp3
# Generate thumbnail
ffmpeg -i video.mp4 -ss 00:00:05 -frames:v 1 thumb.jpg
# HLS streaming
ffmpeg -i input.mp4 -codec: copy -start_number 0 -hls_time 10 -f hls output.m3u8
ImageMagick Common Operations
# Resize
convert input.jpg -resize 800x600 output.jpg
# Format conversion
convert input.png output.webp
# Batch processing
mogrify -resize 50% -format webp *.png
Rules
- Always specify output codec explicitly
- Use hardware acceleration when available
- Set quality parameters appropriate for use case
- Validate output files after processing
- Handle large files with streaming (avoid loading into memory)
What ships with it
14 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.
- references/ffmpeg-encoding.md 9.2 KB
- references/ffmpeg-filters.md 12 KB
- references/ffmpeg-streaming.md 9.3 KB
- references/format-compatibility.md 8.5 KB
- references/imagemagick-batch.md 12 KB
- references/imagemagick-editing.md 13 KB
- scripts/batch_resize.py 10.0 KB runs code
- scripts/media_convert.py 8.2 KB runs code
- scripts/requirements.txt 558 B
- scripts/tests/requirements.txt 32 B
- scripts/tests/test_batch_resize.py 11 KB runs code
- scripts/tests/test_media_convert.py 7.7 KB runs code
- scripts/tests/test_video_optimize.py 12 KB runs code
- scripts/video_optimize.py 13 KB runs code
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 · 56 lines · 34 tokens per session scan A de7b4e748161
media-processing is a skill published in the GitHub repository ihatesea69/kiro-kit (19 stars, last pushed 2mo ago), licensed MIT. It adds 34 tokens to every session and 339 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 2026-09-03.
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