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 Proxy2021/Enso --skill media_processinggit clone --depth 1 https://github.com/Proxy2021/EnsoWrote 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/proxy2021/enso/media_processing)<a href="https://agentmods.dev/skills/proxy2021/enso/media_processing"><img src="https://agentmods.dev/badge/skills/proxy2021/enso/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/proxy2021/enso/media_processing"><img src="https://agentmods.dev/badge/skills/proxy2021/enso/media_processing.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 | $0.00028 | $0.00731 |
| Opus 5.5 | $0.00011 | $0.00292 |
| Sonnet 5.5 | $0.00006 | $0.00146 |
| Haiku 4.5 | $0.00003 | $0.00073 |
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.
How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Media Processing
Media processing tools: video intelligence (inspect, scene detection, frame extraction), contact sheets, AI upscaling, background removal
Available Tools
enso_media_processing_inspect (primary)
Inspect a video file: get duration, resolution, codec, fps, bitrate, audio info. Use when user says: 'inspect this video', 'video details', 'what format is this video'.
Parameters:
path(string): Path to the video file
enso_media_processing_frames
Extract frames from a video at intervals, keyframes, or a specific count. Use when user says: 'extract frames', 'grab stills from video', 'get screenshots from video'.
Parameters:
path(string): Path to the video filemode(string): Extraction mode: interval (every N seconds), keyframes (I-frames only), or count (N evenly-spaced frames). Default: countvalue(number): Seconds for interval mode, or frame count for count mode. Default: 10
enso_media_processing_scenes
Detect scene changes/boundaries in a video using frame difference analysis. Use when user says: 'detect scenes', 'find scene changes', 'scene boundaries'.
Parameters:
path(string): Path to the video filethreshold(number): Scene change sensitivity (0.0-1.0, lower = more sensitive). Default: 0.3
enso_media_processing_thumbnail
Generate a thumbnail image from a video at a specific timestamp. Use when user says: 'video thumbnail', 'generate preview image', 'screenshot at timestamp'.
Parameters:
path(string): Path to the video filetime(number): Timestamp in seconds to capture. Default: 1size(string): Output size (e.g., '640x480', '1280x720'). Default: 320x240
enso_media_processing_sheet
Generate a contact sheet (thumbnail grid) from a folder of photos with filename and EXIF metadata overlay. Use when user says: 'contact sheet', 'thumbnail grid', 'proof sheet', 'photo grid'.
Parameters:
path(string): Path to folder containing photoscolumns(number): Number of columns in grid. Default: 5showExif(boolean): Show EXIF metadata overlay. Default: truethumbSize(number): Size of each thumbnail in pixels. Default: 300
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 · 70 lines · 28 tokens per session scan A 0e9ebe073d73
media_processing is a skill published in the GitHub repository Proxy2021/Enso (6 stars, last pushed 5mo ago), licensed MIT. It adds 28 tokens to every session and 731 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 2026-08-31.
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