W15: conflict resolution — E7 CRITICAL gate, T11/T18 audit refs, §5 metadata check, PROMPT_TEMPLATE Fixes (W15.4-W15.9)

- W15.4 (杨帆): §11/§14 cross-reference audit — PASS-WITH-NOTES, 3 fixes needed
- W15.5 (王测): §14 internal consistency — PASS-WITH-NOTES, 4 fixes needed
- W15.6 (胡桐): self-check script + YAML verification — PASS
- W15.7 (杨帆): Add E7 (no OPEN CRITICAL) to EXPRESS conditions, update T11 to include §14.4 A1-A4, add T18 finding status in §14.5
- W15.8 (王测): Fix findings-registry Close Date, add historical finding time-limit rule, add legacy audit Findings Summary note, add Fixes annotation to PROMPT_TEMPLATE
- W15.9 (胡桐): Fix false-positive warning in check_agents_metadata.py (skip audits/ dir), add metadata check to §5

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

agents/devops-hu/profile.md

@@ -42,6 +42,23 @@ performance_log:
       ${CMAKE_BINARY_DIR}/bin 作为防御性显式声明；删除陈旧 build/dstalk-cli/dstalk-cli.exe。
       验证: clean rebuild 后仅 build/bin/dstalk-cli.exe 存在，ctest 4/4 pass。
     rating: done
+  - date: 2026-05-27
+    event: "W15.6: 验证 check_agents_metadata.py 运行结果 + 集成分析 + YAML 解析确认"
+    detail: >
+      运行结果: default/json 模式 0 error 1 warning (audits/ 目录无 profile.md, 假阳性);
+      --strict 模式 exit code 2 (warning 升格为 error)。
+      YAML 验证: engineer-sun + security-cao 的 profile.md 均被 yaml.safe_load 正确解析。
+      集成建议: refresh_status.py 可 import 调用 check 函数作为前置门禁, 发现 error 时拒绝生成 STATUS.md。
+      WORKFLOW.md §5 缺少元数据自查项, 建议新增 "每波开始前运行 check_agents_metadata.py"。
+    rating: done
+  - date: 2026-05-27
+    event: "W15.9: 修复 check_agents_metadata.py 假阳性 warning + 更新 WORKFLOW.md §5"
+    detail: >
+      Fix 1: check_agents_metadata.py 目录扫描跳过 agents/audits/ (非 agent 目录)，将所有
+      `child.name == 'groups'` 改为 `child.name in ('groups', 'audits')`。
+      Fix 2: WORKFLOW.md §5 新增 "元数据完整性" 条目，要求每波开始前运行 check_agents_metadata.py 验证。
+      Fix 3: 修复后运行 0 errors 0 warnings，5 checks passed。
+    rating: done
   - date: 2026-05-27
     event: "W15.3: 设计 agents/ 目录元数据自检机制 (scripts/check_agents_metadata.py)"
     detail: >