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 agentmods add skills/junmystery/agent-guidance-python/ios-icon-gennpx skills add JunMystery/Agent-Guidance-Python --skill ios-icon-gengit clone --depth 1 https://github.com/JunMystery/Agent-Guidance-PythonWrote 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/junmystery/agent-guidance-python/ios-icon-gen)<a href="https://agentmods.dev/skills/junmystery/agent-guidance-python/ios-icon-gen"><img src="https://agentmods.dev/badge/skills/junmystery/agent-guidance-python/ios-icon-gen.svg" alt="Measured on agentmods" 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 | $0.00069 | $0.01454 |
| Opus 5 | $0.00034 | $0.00727 |
| Sonnet 5 | $0.00014 | $0.00291 |
| Haiku 4.5 | $0.00007 | $0.00145 |
Grade A, and why
ios-icon-gen 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 today.
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.
This is a copy
98% identical to ios-icon-gen — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
iOS Icon Generator
Generate PNG icon imagesets for Xcode asset catalogs from two sources.
When to Activate
- Generating icon assets for an iOS/macOS Xcode project
- Searching for icons across open source collections
- Creating PNG imagesets (1x, 2x, 3x) for asset catalogs
- Replacing placeholder icons with production-quality assets
- Matching existing icon styles in an Xcode project
Core Principles
1. Two Sources, One Output Format
Both sources produce identical Xcode-compatible imagesets. Choose based on need:
| Source | Icons | Requires | Best for |
|---|---|---|---|
| Iconify API | 275,000+ from 200+ collections | Internet | Wide selection, specific styles, open source icons |
| SF Symbols | 5,000+ Apple symbols | macOS only | Apple-native style, offline use |
2. Always Match Existing Style
Before generating, check the project's existing icons for size, color, and weight consistency.
3. Output Structure
Both methods produce a complete Xcode imageset:
<output-dir>/<asset-name>.imageset/
Contents.json
<asset-name>.png # 1x (68px default)
<asset-name>@2x.png # 2x (136px default)
<asset-name>@3x.png # 3x (204px default)
Examples
Step 1: Assess Requirements
Determine icon needs: what the icon represents, preferred style, target color, and size.
If the project already has icons, check existing style:
# Check dimensions of existing icon
sips -g pixelWidth -g pixelHeight path/to/[email protected]
Step 2: Search for Icons
Iconify API (recommended for wide selection):
# Search all collections
$SKILL_DIR/scripts/iconify_gen.sh search "receipt"
# Search within a specific collection
$SKILL_DIR/scripts/iconify_gen.sh search "business card" --prefix mdi
# List available collections
$SKILL_DIR/scripts/iconify_gen.sh collections
SF Symbols (for Apple-native style): Browse the SF Symbols app or reference common names:
| Use Case | Symbol Name |
|---|---|
| Document | doc.text, doc.fill |
| Receipt | doc.text.below.ecg, receipt |
| Person | person.crop.rectangle, person.text.rectangle |
| Camera | camera, camera.fill |
| Scan | doc.viewfinder, qrcode.viewfinder |
| Settings | gearshape, slider.horizontal.3 |
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.
- today First seen · 158 lines · 69 tokens per session scan A e92c9d8c58fd
ios-icon-gen is a skill published in the GitHub repository JunMystery/Agent-Guidance-Python (2 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 1,454 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to ios-icon-gen, differing in 3 lines, and is treated as a copy.
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