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- 项目级 skill: .claude/skills/code-review/ (398行SKILL.md + 参考文件) - 自动触发: AI修改.py/.cbl/.cpy/.lark后自动review - CLAUDE.md: 定义触发规则、review流程、严重级别 - .code-review.yaml: tier=standard, 高风险模块配置 效果: clone即用, 每次代码变更后自动审查, 防止低质量代码入库 Co-Authored-By: Claude <noreply@anthropic.com>
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Distributed Lock — Manual Review Checklist
Timeout Strategy
- Lock TTL defined and justified (not arbitrary)
- TTL exceeds maximum expected operation time
- Watchdog/refresh mechanism if operation may exceed TTL
- Lock auto-releases on process crash (not permanent deadlock)
Release Mechanism
- Lock released by the same instance that acquired it (ownership check)
- Release is atomic (check-then-release is not atomic — use Lua script or compare-and-delete)
- Lock release in finally/defer block guaranteed to execute
Retry Strategy
- Retry with exponential backoff, not infinite retry
- Maximum retry count or timeout defined
- Failed lock acquisition returns clear error (not silent fallback)
Granularity & Deadlock
- Lock key granularity appropriate (per-resource, not global)
- Multiple lock acquisition order consistent (prevents deadlock)
- No nested locks on same resource
- Lock contention monitored/metrics available