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 rameerez/claude-code-startup-skills --skill compress-imagesgit clone --depth 1 https://github.com/rameerez/claude-code-startup-skillsWrote 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/rameerez/claude-code-startup-skills/compress-images)<a href="https://agentmods.dev/skills/rameerez/claude-code-startup-skills/compress-images"><img src="https://agentmods.dev/badge/skills/rameerez/claude-code-startup-skills/compress-images/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/rameerez/claude-code-startup-skills/compress-images"><img src="https://agentmods.dev/badge/skills/rameerez/claude-code-startup-skills/compress-images.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 | $0.00038 | $0.01120 |
| Opus 5 | $0.00019 | $0.00560 |
| Sonnet 5 | $0.00008 | $0.00224 |
| Haiku 4.5 | $0.00004 | $0.00112 |
Grade A, and why
compress-images 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 10d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Compression Skill
Compress all images in $ARGUMENTS (or app/assets/images/content/ if no path provided) to WebP format, optimized for SEO performance (target: under 100KB per image).
Process
- Create originals folder - Create
originals/subfolder inside the target directory and move source files there. Never destroy source files. - Compress each image (JPG, PNG, GIF) from
originals/to the parent directory as.webp - Iterate until all images are under 100KB - check sizes after each pass, re-compress any that exceed the target
- Report results with before/after sizes
- Update references in content files from old extensions to
.webp
File Structure
target-directory/
├── originals/ # High-quality source files preserved here
│ ├── hero.jpg
│ └── feature.png
├── hero.webp # Compressed, web-optimized
└── feature.webp
Iterative Compression Algorithm
IMPORTANT: Keep compressing until ALL images are under 100KB. Check sizes after each pass and re-compress any that exceed the target.
Step 1: Initial pass (q 70)
cwebp -q 70 -resize 1200 0 originals/image.jpg -o image.webp
ls -lh image.webp # Check size
Step 2: If still over 100KB, reduce quality progressively
# Try these in order until under 100KB:
cwebp -q 60 -resize 1200 0 originals/image.jpg -o image.webp
cwebp -q 50 -resize 1200 0 originals/image.jpg -o image.webp
cwebp -q 45 -resize 1200 0 originals/image.jpg -o image.webp
cwebp -q 40 -resize 1200 0 originals/image.jpg -o image.webp
cwebp -q 35 -resize 1200 0 originals/image.jpg -o image.webp
Step 3: For stubborn images, also reduce dimensions
# If q 35 at 1200px is still over 100KB, reduce to 1000px:
cwebp -q 30 -resize 1000 0 originals/image.jpg -o image.webp
cwebp -q 25 -resize 1000 0 originals/image.jpg -o image.webp
Real-World Results (Reference)
From actual compression run on content images:
| Image | Original | First Try | Final | Settings Used |
|---|---|---|---|---|
| waves.jpg | 198KB | 33KB | 33KB | q 70, 1200px (1 pass) |
| calendar.jpg | 246KB | 42KB | 42KB | q 70, 1200px (1 pass) |
| floating.jpg | 230KB | 43KB | 43KB | q 70, 1200px (1 pass) |
| cash.jpg | 409KB | 88KB | 88KB | q 70, 1200px (1 pass) |
| knot.jpg | 395KB | 96KB | 96KB | q 70, 1200px (1 pass) |
| floating-dark.jpg | 414KB | 94KB | 94KB | q 70, 1200px (1 pass) |
| keyboard2.jpg | 459KB | 102KB | 102KB | q 70, 1200px (1 pass, acceptable) |
| perpetual.jpg | 565KB | 130KB | 96KB | q 40, 1200px (3 passes) |
| keyboard.jpg | 718KB | 196KB | 98KB | q 25, 1000px (5 passes) |
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.
- 10d ago First seen · 88 lines · 38 tokens per session scan A a990ce4dbb3e
compress-images is a skill published in the GitHub repository rameerez/claude-code-startup-skills (29 stars, last pushed 6mo ago), licensed MIT. It adds 38 tokens to every session and 1,120 once invoked, about $0.0002 per session on Opus 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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