baoyu-skills is a collection of reusable skills that give AI coding agents instructions for tasks such as preparing and publishing content. It supports agents including Claude Code, Codex, and OpenClaw, with users installing only the workflows they need. The catalogue contains selected skills from this collection.
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/JimLiu/baoyu-skillsnpx agentmods add skills/jimliu/baoyu-skills/baoyu-compress-imageWrote 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/jimliu/baoyu-skills/baoyu-compress-image)<a href="https://agentmods.dev/skills/jimliu/baoyu-skills/baoyu-compress-image"><img src="https://agentmods.dev/badge/skills/jimliu/baoyu-skills/baoyu-compress-image/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/jimliu/baoyu-skills/baoyu-compress-image"><img src="https://agentmods.dev/badge/skills/jimliu/baoyu-skills/baoyu-compress-image.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 20 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00048 | $0.00693 |
| Opus 5 | $0.00024 | $0.00347 |
| Sonnet 5 | $0.00010 | $0.00139 |
| Haiku 4.5 | $0.00005 | $0.00069 |
Grade A, and why
baoyu-compress-image 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 13d 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.
Copies of this mod
4 near-identical copies found in the catalogue:
- baoyu-compress-image — 100% identical, 0 lines differ
- baoyu-compress-image — 100% identical, 0 lines differ
- baoyu-compress-image — 100% identical, 0 lines differ
- baoyu-compress-image — 88% identical, 39 lines differ
What it actually says
Image Compressor
Compresses images using best available tool (sips → cwebp → ImageMagick → Sharp).
Script Directory
Scripts in scripts/ subdirectory. {baseDir} = this SKILL.md's directory path. Resolve ${BUN_X} runtime: if bun installed → bun; if npx available → npx -y bun; else suggest installing bun. Replace {baseDir} and ${BUN_X} with actual values.
| Script | Purpose |
|---|---|
scripts/main.ts |
Image compression CLI |
Preferences (EXTEND.md)
Check EXTEND.md in priority order — the first one found wins:
| Priority | Path | Scope |
|---|---|---|
| 1 | .baoyu-skills/baoyu-compress-image/EXTEND.md |
Project |
| 2 | ${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-compress-image/EXTEND.md |
XDG |
| 3 | $HOME/.baoyu-skills/baoyu-compress-image/EXTEND.md |
User home |
If none found, use defaults.
EXTEND.md supports: Default format, default quality, keep-original preference.
Usage
${BUN_X} {baseDir}/scripts/main.ts <input> [options]
Options
| Option | Short | Description | Default |
|---|---|---|---|
<input> |
File or directory | Required | |
--output |
-o |
Output path | Same path, new ext |
--format |
-f |
webp, png, jpeg | webp |
--quality |
-q |
Quality 0-100 | 80 |
--keep |
-k |
Keep original | false |
--recursive |
-r |
Process subdirs | false |
--json |
JSON output | false |
Examples
# Single file → WebP (replaces original)
${BUN_X} {baseDir}/scripts/main.ts image.png
# Keep PNG format
${BUN_X} {baseDir}/scripts/main.ts image.png -f png --keep
# Directory recursive
${BUN_X} {baseDir}/scripts/main.ts ./images/ -r -q 75
# JSON output
${BUN_X} {baseDir}/scripts/main.ts image.png --json
Output:
image.png → image.webp (245KB → 89KB, 64% reduction)
Extension Support
Custom configurations via EXTEND.md. See Preferences section for paths and supported options.
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.
- 13d ago First seen · 82 lines · 48 tokens per session scan A b14b2ac50b79
baoyu-compress-image is a skill published in the GitHub repository JimLiu/baoyu-skills (25,839 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 693 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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