按 U-Claw-海外化改造方案.md 与 范围决策记录.md 实施。这是 fork,不回上游: 海外版删掉的正是上游的中国市场默认值。 阶段 0 地基 - 下载源全部改国际:脚本/CI 61 处 + lockfile 880 条 npmmirror URL 归零 (lockfile 那 880 条是 npm 的 resolved 字段,脚本层参数化根本绕不过它) - 移除 install.ps1 里三个第三方 GitHub 加速代理,bundle 改直连 + SHA256 校验 (原来只检查"文件大于 1MB"就解压运行) - 技能内容与分发分离:skills/manifest.json 单一来源,install.sh 1170→658 行、 install.ps1 721→546 行,两者技能内容归零 实测原来是三份不一致:skills-cn 完整、install.sh 约 40%、install.ps1 约 17%, 且 7 个通用技能只有 U 盘版有 —— 一键安装的用户一个能用的技能都没有 - Node 版本三种(v22.14/16/22.1)统一,新建 NODE_VERSION 单一来源 - Config 页三份合一。portable/Config.html 用根相对路径调 API 却只从 file:// 打开, 保存功能已静默失效两个月;现缩为 120 行重定向壳 - 测试接入 CI(此前 node --test 无人运行,所有断言形同虚设) 阶段 1 双语可用 - 浏览器侧 i18n:JSON 为源、生成经典 script(file:// 下 fetch 本地 JSON 被拦) 语言跟盘走不跟机器走:启动器写 data/.openclaw/locale.js - 8 处硬编码 lang="zh-CN" 归零,data-i18n 覆盖 213 处,词条 en/zh 各 279 条 - B3 单框 Key:12 张模型卡 → 一个输入框,前缀识别 provider, 服务端 /api/test-key 发 1-token 请求实测,错误映射成人话 Key 填错到得知:从"直到对话失败"降到 ≤1 秒 - 区域格式 SG:DD/MM/YYYY、12 小时、S$、Asia/Singapore (ICU 在 en-SG 下把 SGD 渲染成裸 $,与美元无法区分,故自行拼 S$) - README 内容分叉而非翻译,§1.3 证据清单逐条清零 阶段 2 降门槛 - 启动逻辑上移 lib/start.mjs:Windows-Start.bat 220→28 行、 Mac-Start.command 235→33 行 修掉 Mac 侧两个 bug:控制台端口硬编码 18788(回落时打开死页)、 微信插件从未在 Mac 上安装 - U 盘根目录 23 → 3 个可点文件,其余进 advanced/ - 首启向导:语言 → 用途(7 角色,manifest 驱动)→ 密钥,答过不再问 - 三档界面,Simple 档隐藏一切技术名词 - 自动自愈:启动失败先自查自修,修不好导出脱敏诊断包 (Doctor 从"用户要知道去点的工具"变成后台机制) 阶段 3 技能库 - 19 个英文技能,planned 归零。sg-weather / sg-transport 的端点均实测过 - SkillHub 从 56 张手写第三方卡片改为 manifest 生成:703→125 行,中文归零 其他 - origin.json 收拢所有运行时地址,tests/origin.test.mjs 保证迁移不会漏 - portable/ 下用户可见中文归零(由断言保证) - 82 项测试 未验证(本机无 Windows / 无 pwsh): - install.ps1、setup.ps1 约 210 行改动从未经 PowerShell 解析器 - 完整启动路径仅在假 node + 假 openclaw 上冒烟 - 8 个 .bat 的盘根推导仅静态断言 详见 U盘实测清单.md 受阻: - 隐藏黑窗口 —— 需代码签名证书(.vbs 已被 Windows 弃用,替代方案都要签名) - 场景卡 —— OpenClaw 上游 Dashboard 无预填 prompt 接口 - 官网 36 条 —— 上游 2026-04-14 拆到私有仓库,无权限
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---
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name: image-compress
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description: "Image compression and conversion - shrink, resize, convert jpg/png/webp. Runs locally."
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metadata: { "openclaw": { "emoji": "🖼️" } }
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---
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# Image Compression / Conversion
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Shrink image file sizes, change dimensions, convert between formats. Everything
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runs on this machine — photos are never uploaded.
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## What it does
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- **Compress**: reduce file size by quality or resolution, for email and messaging
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- **Resize**: scale by dimension or percentage
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- **Convert**: jpg / png / webp (webp is usually smallest)
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- **Batch**: process a whole folder
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## How to run it
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Use the Bash tool with Python's Pillow — cross-platform and entirely local.
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```bash
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python -c "import PIL" 2>/dev/null || pip install -q Pillow
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# Single image: quality 75, cap width at 1600px, keep aspect ratio
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python - <<'PY'
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from PIL import Image
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im = Image.open("input.jpg")
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if im.width > 1600:
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im = im.resize((1600, int(im.height * 1600 / im.width)))
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im.convert("RGB").save("output.jpg", "JPEG", quality=75, optimize=True)
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print("compressed -> output.jpg")
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PY
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# Batch: every jpg/png in this folder -> webp
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python - <<'PY'
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from PIL import Image
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import glob, os
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for f in glob.glob("*.jpg") + glob.glob("*.png"):
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out = os.path.splitext(f)[0] + ".webp"
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Image.open(f).save(out, "WEBP", quality=80)
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print(f"{f} -> {out}")
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PY
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```
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## Working notes
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- Run `ls -lh` before and after, and tell the user how much was actually saved
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- Never overwrite the original unless the user explicitly asks — write a new file
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- PNG transparency is lost when converting to JPG but survives in webp; pick the
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format based on whether the image has an alpha channel
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