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新建独立试验节点 prd-methodology-trial，走真实 Hunt→Digest→Evolve 训练 PRD 撰写方法论： 2 轮 Small Loop 提前收敛（96/97 分，真实基线 50 分），用三个真实历史项目反推验证方法论 有效，Deploy 范围限定在该独立节点，未触碰生产 prd-planning。结论：FDE 对方法论类角色 确实管用，但收敛速度/验收严谨度依赖任务书里显式写明的自纠正要求，非免人工黑盒。 过程中连带修复同一个 2026-08-16 改名批次（innovator→org-innovator 等）遗留的 5 处死链： company.js 两处硬编码调用、CompanyDashboard.vue「重新训练」按钮，以及四个本体各自 config.json 内部 id 字段从未随目录改名同步更新，导致 /api/agent/list 展示层用假 id 显示成死卡片。顺手修了 AgentScaffold 默认 tools.md 模板一处裸相对路径缺陷（对应 agent-md-refs.test.js 里已登记多时的已知缺陷）。 Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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- Implement OKR GoalsService with hierarchical node tracking - Add /api/goals routes and integrate with dispatch/report APIs - Create Innovator agent with Hunt→Digest→Evolving pipeline - Create Hunter (l3-hunt), Digester (l2-digest), Evolver (evolving) meta agents - Copy L1/L2 dependency skills into each agent's .claude/skills/ - Fix buildSystemPrompt to scan ALL skill subdirectories (critical) - Fix agent list sorting: master pinned top, rest by lastActiveAt - Rename master-001→master, innovator-001→innovator - Establish meta agent output convention: write to target agent dir - Add CXO agent base class for management agents - Update CEO agent with delegation-first management model
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- Agent as Micro-Container: each agent lives in data/agents/{id}/ with full encapsulation - Persona vs Capability split: agent.md (identity) + .claude/skills/main_skill/SKILL.md (workflow) - Conversations co-located: data/agents/{id}/conversations/ replaces global dir - Meta Skills renamed: meta_hunt, meta_digest, meta_creator, meta_evolving, meta_benchmark, meta_research - Dynamic Hot-Reload: AgentManager.getAgentConfig() falls back to filesystem scan - Parallel Sub-Agent orchestration via Promise.all with multi-terminal UI - Removed SQLite dependency, global skills/ directory, and legacy conversations/ - Full architecture docs: 18-local-filesystem-first-agent-encapsulation.md