Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ssube/conclavenpx agentmods add skills/ssube/conclave/image-optimizeWrote 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/ssube/conclave/image-optimize)<a href="https://agentmods.dev/skills/ssube/conclave/image-optimize"><img src="https://agentmods.dev/badge/skills/ssube/conclave/image-optimize/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/ssube/conclave/image-optimize"><img src="https://agentmods.dev/badge/skills/ssube/conclave/image-optimize.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 | $0.00040 | $0.01644 |
| Opus 5.5 | $0.00016 | $0.00658 |
| Sonnet 5.5 | $0.00008 | $0.00329 |
| Haiku 4.5 | $0.00004 | $0.00164 |
Grade A, and why
image-optimize 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 — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Optimize Skill
Resize, compress, and format images for platform-specific requirements. Uses Pillow for image processing.
Requirements
pip install Pillow
Platform Specifications
| Platform | Max Size | Max Dimensions | Formats |
|---|---|---|---|
| 5MB | 4096x4096 | PNG, JPG, WebP | |
| Bluesky | 1MB | 2000x2000 | PNG, JPG, WebP |
| Gallery | 16MB | 4096x4096 | PNG, JPG, WebP |
| DeviantArt | 30MB | 16000x16000 | PNG, JPG, GIF |
| Patreon | 10MB | 5000x5000 | PNG, JPG, GIF |
| Tumblr | 10MB | 4096x4096 | PNG, JPG, GIF |
Usage
Resize for platform
python3 {baseDir}/optimize.py resize \
--input /path/to/image.png \
--platform twitter \
--output /path/to/output.png
Automatically resizes and compresses to meet platform requirements.
Manual compression
python3 {baseDir}/optimize.py compress \
--input /path/to/image.png \
--quality 85 \
--output /path/to/output.jpg
Batch optimization
python3 {baseDir}/optimize.py batch \
--input-dir /path/to/images/ \
--platform twitter \
--output-dir /path/to/optimized/
Get image info
python3 {baseDir}/optimize.py info /path/to/image.png
Returns dimensions, format, file size, and platform compatibility.
Convert format
python3 {baseDir}/optimize.py convert \
--input /path/to/image.png \
--format webp \
--output /path/to/output.webp
Commands
resize
Resize image to fit platform requirements while maintaining aspect ratio.
Options:
--input: Input image path (required)--platform: Target platform (required)--output: Output path (default: adds platform suffix to input name)--format: Output format (default: same as input or platform default)--quality: JPEG/WebP quality 1-100 (default: auto for platform)
compress
Compress image to target quality or file size.
Options:
--input: Input image path (required)--output: Output path (required)--quality: Quality 1-100 (default: 85)--max-size: Maximum file size in bytes (optional, iterates to find quality)--format: Output format (default: same as input)
What ships with it
1 file 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.
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 · 241 lines · 40 tokens per session scan A eb6265bd434c
image-optimize is a skill published in the GitHub repository ssube/conclave (2 stars, last pushed 7mo ago), licensed MIT. It adds 40 tokens to every session and 1,644 once invoked, about $0.0002 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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