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 jiushiwon/wg-skills --skill icon-image-catch-skillgit clone --depth 1 https://github.com/jiushiwon/wg-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/jiushiwon/wg-skills/icon-image-catch-skill)<a href="https://agentmods.dev/skills/jiushiwon/wg-skills/icon-image-catch-skill"><img src="https://agentmods.dev/badge/skills/jiushiwon/wg-skills/icon-image-catch-skill/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/jiushiwon/wg-skills/icon-image-catch-skill"><img src="https://agentmods.dev/badge/skills/jiushiwon/wg-skills/icon-image-catch-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.01091 |
| Opus 5 | $0.00020 | $0.00545 |
| Sonnet 5 | $0.00008 | $0.00218 |
| Haiku 4.5 | $0.00004 | $0.00109 |
Grade A, and why
icon-image-catch-skill 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 11d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
icon-image-catch-skill — 远程素材抓取总入口
本技能不执行任何本地脚本，只提供规范与流程。Claude 应根据以下规则，直接调用 Iconify、图库 API 或浏览器/网络工具完成素材抓取。
路由判断
| 用户意图 | 进入子技能 |
|---|---|
| 要图标、icon、小图标、功能图标、tabBar 图标 | icon-catch-skill |
| 要图片、配图、背景图、banner、头图、照片 | image-catch-skill |
| 两者都要 | 先 icon 后图片，分别执行 |
| 扫描项目并自动抓取所需素材 | 先执行「项目素材需求审计」，再按审计结果自动进入对应子技能抓取 |
| 审计项目需要哪些素材 | 见下文「项目素材需求审计」 |
通用工作原则
- 语义先行：先把用户需求翻译成精准英文搜索词。
- 选库/选源询问：抓图标前先问用户想用的图标库；抓图片前先问图源。用户不选则默认自动降级。
- 就近落地：素材下载到用户项目约定的目录（如
static/icons、static/images）。 - 可追溯：记录素材来源、作者、原始链接，必要时写入同目录元数据文件。
- 风格统一：同一项目的图标必须来自同一图标集、同一风格；图片色调与项目主题色协调。
- 降级意识：icon 某库失败 → 自动降级下一库；抓不到 → 换关键词 → 仍不行建议用
image-forge-skill生成。图片某源失败 → 自动降级下一源。 - 压缩询问：下载图片时默认询问用户是否压缩；若压缩，可用
image-forge-skill等工具处理，或依赖图源远程缩放参数。
环境准备（由 Claude 负责）
- icon 抓取：基于 Iconify，零配置、免费、无需 Key。
- 图片抓取：
- 自定义源：询问用户是否有自己的图片 CDN/图片服务。
- 正版图库：Pexels / Pixabay / Unsplash，需用户自行申请免费 Key。
- 默认兜底：未配置任何 Key 时，使用 Lorem Flickr（关键词语义）和 Picsum（随机占位）。
Claude 不应在 skill 目录下执行 npm install 或运行 Node.js 脚本。
项目素材需求审计
当用户要求审计项目素材时：
- 读取用户项目文件（页面、组件、样式、配置文件）。
- 探测项目框架（uniapp / vue3 / react / next / nuxt 等）、平台类型（移动端 / PC / Web）、主题色、静态资源目录。具体探测规则参考
references/project-type-detection.md。 - 扫描代码中可能需要 icon / image 的位置（如
tabBar、navbar、hero、banner、background、avatar、logo等关键词）。 - 盘点已有 icon / image / font 资源。
- 必须输出
assets-requirements-report.md，包含：- 项目框架、平台、主题色
- 现有资源清单
- 按平台推荐的尺寸规格（参考
references/image-sizes.md与references/project-type-detection.md） - 发现的素材需求位置
- 可复用现有资源的建议
- 推荐抓取风格与色调
报告文件默认放在项目根目录；若项目已有 docs/ 目录且用户无特殊要求，可放入 docs/assets-requirements-report.md。
Claude 应使用文件读取、搜索等工具完成审计，不运行任何本地审计脚本。
与其他技能的关系
- image-forge-skill：本技能「抓取」现成专业图标；抓不到合适图标时，建议转
image-forge-skill的 icons 模式生成。 - image-forge-skill：本技能负责找图；需要本地压缩、裁剪、格式转换、水印、合成时，转
image-forge-skill。 - uniapp-app-generate-skill / frontend-ui-foundry：生成页面时若需要图标与配图，应调用本技能能力获取真实素材。
What ships with it
9 files 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.
- icon-catch-skill/README.md 1.9 KB
- icon-catch-skill/references/icon-sources.md 3.3 KB
- icon-catch-skill/SKILL.md 6.1 KB
- image-catch-skill/README.md 1.3 KB
- image-catch-skill/references/image-sources.md 4.6 KB
- image-catch-skill/SKILL.md 5.0 KB
- README.md 4.0 KB
- references/image-sizes.md 3.7 KB
- references/project-type-detection.md 5.8 KB
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.
- 11d ago First seen · 65 lines · 40 tokens per session scan A b83d6e70efda
icon-image-catch-skill is a skill published in the GitHub repository jiushiwon/wg-skills (99 stars, last pushed yesterday), licensed Apache-2.0. It adds 40 tokens to every session and 1,091 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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