[ccloop] TODO：借鉴其他项目的优点，改进ccloop#9
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…es、stages/hooks、capabilities、reference、policy、guardrails）集成到 solver 主流程。核心改进： 1. **状态机驱动** — issue 生命周期从简单标签升级为完整状态转换（todo→running→review/done/stuck/blocked） 2. **任务类型分流** — test/investigate 类型不创建 PR，只回写报告；code 类型走完整 PR 流程 3. **依赖预检** — 处理前检查引用的前置 issue 是否已完成 4. **Guardrails 集成** — 输入/输出/diff 三层安全校验接入主流程 5. **能力+引用上下文注入** — CC prompt 自动注入能力描述和被引用 issue 上下文 6. **阶段钩子+Tracing** — solve/review/commit 三阶段前后钩子执行，trace 记录 7. **Claim 机制** — machine-readable claim comment 支持多 worker 协调 8. **Policy 加载** — .ccloop-policy.env 项目策略自动加载并应用 194 测试全部通过，含 2 个新增状态过滤测试 Closes #6
Co-Authored-By: Claude Opus 4.7 <[email protected]>
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自动解决 Issue #6
★ Insight ─────────────────────────────────────本次改造的核心思路："模块建好了但没接线" → 将 6 个孤立模块接入 solver 主流程。这是典型的"集成"而非"新增"工作。AI Dispatcher 的设计哲学（状态在 labels、归属在 comments、任务类型分流）现在完整体现在 ccloop 的执行路径中。
─────────────────────────────────────────────────RESULT:{"type":"feature","summary":"借鉴 AI Dispatcher 设计，将 ccloop 已有的 6 个孤立模块（state_machine、task_types、stages/hooks、capabilities、reference、policy、guardrails）集成到 solver 主流程。核心改进：\n1. 状态机驱动 — issue 生命周期从简单标签升级为完整状态转换（todo→running→review/done/stuck/blocked）\n2. 任务类型分流 — test/investigate 类型不创建 PR，只回写报告；code 类型走完整 PR 流程\n3. 依赖预检 — 处理前检查引用的前置 issue 是否已完成\n4. Guardrails 集成 — 输入/输出/diff 三层安全校验接入主流程\n5. 能力+引用上下文注入 — CC prompt 自动注入能力描述和被引用 issue 上下文\n6. 阶段钩子+Tracing — solve/review/commit 三阶段前后钩子执行，trace 记录\n7. Claim 机制 — machine-readable claim comment 支持多 worker 协调\n8. Policy 加载 — .ccloop-policy.env 项目策略自动加载并应用\n194 测试全部通过，含 2 个新增状态过滤测试","success":true,"files":["ccloop_lib/solver.py","ccloop_lib/github_ops.py","ccloop_lib/promp
修改文件
cloop_lib/github_ops.pyccloop_lib/prompts.pyccloop_lib/solver.pytests/test_solver_flow.py由 ccloop 自动创建，请审查后合并。