v0.2.0: add Linux server resident-agent route + ops-workflow discipline
- scripts/agent.py: GLM-vision WeChat guard agent (8s watch loop, red-dot detection, whitelist, title-verify gate, rate/quiet-hours caps, self-heal) - scripts/setup-server.sh: idempotent xfce+TigerVNC+noVNC+WeChat-Linux setup - scripts/check-skill.sh: skill guard (structure/secrets/privacy/claims/ encoding/syntax/CHANGELOG/bundle parity), self-exclusion aware - references/linux-server.md: deploy & ops guide for the 7x24 route - references/pitfalls-linux.md: 17 field-tested pitfalls - references/ops-workflow.md: baseline-first authoring + sync discipline (methodology credit: octopus-workflow) - SKILL.md/README: dual-platform entry; CHANGELOG added
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# WeChat Ops
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用「**截图 → 视觉识别 → 动作 → 截图验证**」的闭环操作 macOS 电脑,代替人手点按钮、输文字、切窗口、走界面流程。
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用「**截图 → 视觉识别 → 动作 → 截图验证**」的闭环操作电脑(macOS 本机路线 + Linux 云服务器常驻 Agent 路线),代替人手点按钮、输文字、切窗口、走界面流程。
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适用于 Claude Code、Codex 等支持 skill 的 AI 编程助手。
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## License
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[MIT](LICENSE)
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## 维护纪律(skill-ops 工作流)
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本仓库按 [references/ops-workflow.md](references/ops-workflow.md) 维护:失败基线优先、
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安全闸门固化进代码、证据分级表述(已验证:证据 / 未验证:待确认)、
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守卫检查(`bash scripts/check-skill.sh .`)、CHANGELOG 版本化。
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改动 scripts/agent.py 时,服务器部署实例必须回填仓库后再发布。
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