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 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/image-catch-skill)<a href="https://agentmods.dev/skills/jiushiwon/wg-skills/image-catch-skill"><img src="https://agentmods.dev/badge/skills/jiushiwon/wg-skills/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/image-catch-skill"><img src="https://agentmods.dev/badge/skills/jiushiwon/wg-skills/image-catch-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Data Exfiltration · line 64 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 77 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00019 | $0.01485 |
| Opus 5 | $0.00010 | $0.00743 |
| Sonnet 5 | $0.00004 | $0.00297 |
| Haiku 4.5 | $0.00002 | $0.00148 |
Grade A, and why
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 12d 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
image-catch-skill — 图片抓取规范
本技能提供图片抓取流程，不执行本地脚本。Claude 应根据以下规范，直接调用图库 API 或浏览器/网络工具完成下载。
数据源
本技能采用可配置源优先设计：
| 源类型 | 配置方式 | 说明 |
|---|---|---|
| 自定义源（推荐） | 用户提供的远程图片服务 / CDN | 地址内容由用户控制 |
| 正版图库 | Pexels / Pixabay / Unsplash API Key | 质量更高，适合正式项目 |
| 默认兜底 | Lorem Flickr（关键词语义）+ Picsum（随机占位） | 无需任何配置 |
各图源特点
| 源 | 质量 | 推荐场景 | 是否需要 Key |
|---|---|---|---|
| Pexels | ⭐⭐⭐⭐⭐ | 正式项目、Hero、Banner | 免费 Key |
| Pixabay | ⭐⭐⭐⭐ | 内容运营、营销页、插画 | 免费 Key |
| Unsplash | ⭐⭐⭐⭐⭐ | 大图/Hero/品牌视觉 | 免费 Key |
| Lorem Flickr | ⭐⭐⭐ | Demo、原型、占位图 | 无需 Key |
| Picsum | ⭐⭐ | 纯视觉占位、测试 | 无需 Key |
使用前询问规范
当用户要求抓图片时，Claude 必须先询问用户想用的图源，给出风格/质量推荐，再执行。示例：
准备抓「科技感办公」配图，可选图源：
- Pexels — 高质量真实照片（推荐正式项目）
- Pixabay — 量大，含插画/矢量
- Unsplash — 画质最高，艺术感强
- Lorem Flickr — 无需 Key，真实照片但授权不确定
- Picsum — 无需 Key，纯占位
- 全部自动 — 按 Pexels → Pixabay → Unsplash → Lorem Flickr → Picsum 顺序自动降级（默认）
你想用哪个？直接回车默认全部自动。
如果用户明确指定了源，或已配置自定义源，则不再询问。
标准抓取流程
- 明确主题：从需求提取图片内容词（如「团队配图」→
teamwork），越具体越好。 - 询问图源：向用户展示可选源及风格推荐，确认后执行；用户已指定则跳过。
- 英文关键词：优先使用英文搜索；中文需求参考
references/image-sources.md的中英文映射表。 - 定规格：按使用位置定方向（横版/竖版/方形）与尺寸。
- 若项目已执行过素材审计，优先使用
assets-requirements-report.md中的平台与推荐尺寸。 - 若未审计，根据项目关键文件探测平台（参考
../references/project-type-detection.md），再匹配../references/image-sizes.md中的默认尺寸。 - 用户已明确指定尺寸时，以用户为准。
- 若项目已执行过素材审计，优先使用
- 询问压缩：下载图片时先询问是否压缩。若需要本地压缩/裁剪/格式转换，转
image-forge-skill；若仅需远程缩放，使用各图源支持的缩放参数。 - 选源降级：优先使用用户自定义源；未配置则尝试 Pexels/Pixabay/Unsplash；仍无则使用 Lorem Flickr 和 Picsum 兜底。
- 落地保存：保存到项目图片目录（uniapp 默认
static/images/）。
API 调用参考
Pexels
GET https://api.pexels.com/v1/search?query={query}&per_page={count}&orientation={landscape|portrait|square}
Authorization: {PEXELS_API_KEY}
Pixabay
GET https://pixabay.com/api/?key={KEY}&q={query}&per_page={count}&image_type=photo&safesearch=true&orientation={horizontal|vertical}
Unsplash
GET https://api.unsplash.com/search/photos?query={query}&per_page={count}&orientation={landscape|portrait|squarish}
Authorization: Client-ID {ACCESS_KEY}
What ships with it
2 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.
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.
- 12d ago First seen · 125 lines · 19 tokens per session scan A 90a53bf8ffdc
image-catch-skill is a skill published in the GitHub repository jiushiwon/wg-skills (100 stars, last pushed 2d ago), licensed Apache-2.0. It adds 19 tokens to every session and 1,485 once invoked, about $0.0001 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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