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Implements docs/done/work-graph-node-execution-deblackbox-requirements.md end to end. The three documented call sites (e2e_pipeline.py:: _check_prd_consistency, work_graph_orchestrate.py::_llm_judgment_verify_fn, work_graph_orchestrate.py::_make_run_fn) all used to render a one-off Dynamic Workflow .js script and run it via `claude -p 'Run /<name>...'` purely to get "agent identity + schema-shaped output" -- a workaround for --json-schema silently conflicting with --agent (05 §5.4.1.1). That workaround was never actually necessary: work_graph_plan.py:: plan_work_graph() solved the identical problem from day one with a flat `claude --agent ... -p ...` call + ```json-fence extraction from free text, already validated in production. New org_node_trigger.trigger_org_node_structured() unifies all three call sites onto that same flat-call approach. extract_json_payload() generalizes work_graph_plan.py's fence-extraction algorithm; _extract_graph_manifest is now a thin wrapper over it. Two more call sites not in the original design doc (written before they existed) were found and migrated too: _run_reflection_perspective and _fix_skill_for_node (Phase 2a's Reflection-review/Fix-Skill). work_graph_fork.py needed no changes -- it only reaches _make_run_fn indirectly via run_graph(), so it benefits automatically. FR-4's real-agent verification (RUN_REAL_AGENT_E2E=1, mandatory, not optional -- src/test_org_node_trigger_e2e.py) confirmed persona loading, --model override, and JSON-fence extraction all work against a real model. write_workflow_script/execute_work_graph/execute_work_graph_with_usage_ limit_retry are confirmed to have no remaining production callers; docstrings mark them historical, the file is kept (not deleted). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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Implements docs/todo/verifier-fan-out-jury-design.md. root_cause_trace.py: _tally_perspectives() extracts the existing >=2/3 rule out of judge_root_cause so the closure-based version and the new judge_root_cause_via_work_graph() share one implementation, not two that could drift apart. The fan-in vote stays plain Python (zero_token aggregation per the design-dynamic-work-graph Skill's own edge_type distinction) rather than becoming a fourth Work Node -- no reason to pay for an Agent call just to count votes. judge_root_cause_via_work_graph(): each perspective becomes an independent Work Node with real schema-constrained structured output ({"category", "detail"} directly), not real_validator_perspective's manual "CATEGORY:"/"DETAIL:" text-line parsing. judge_root_cause / real_validator_perspective are kept, not removed -- documented as the lightweight fallback for scenarios that don't need worktree/Work Graph overhead. org_level_loop.run_fix_loop (the one real production caller) now calls the Work Graph version; the fixer/verify calls are unchanged flat trigger_org_node calls. Real bug found and fixed along the way: this is the first production code path that actually triggers a run_graph() multi-node CONCURRENT layer (every graph_manifest before F was single-node or a strict serial chain, so G's ThreadPoolExecutor path had never really run in production). scheduler.py::run_goal_to_completion and task_execution.py::start_task_execution_in_background both created their conn without check_same_thread=False -- fixed both, since their conn can now reach run_graph()'s worker threads via run_fix_loop. Test boundary migrated in test_org_level_loop.py/test_scheduler.py: the 3 perspective calls are now mocked at work_graph_execute.write_workflow_script/ execute_work_graph (matching test_work_graph_orchestrate.py's pattern) instead of org_node_trigger.trigger_org_node. New tests cover: three real independent Work Node executions, judgment-rule equivalence with the closure version, clean per-node input_payload, and concurrent wall-clock overlap across the three perspectives. Full src suite (586 tests) + supervisor suite (125 tests) pass with zero regressions. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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judge_root_cause(): runs 3 perspective_fns (correctness/requirement- completeness/skill-defect, 04-P §4.3), requires >=2/3 agreement on a category or raises InconclusiveEscalateError with all raw judgments attached (REQ-04's failure case). trace_root_cause_test_failed() creates a brand-new bug_record on agreement; trace_root_cause_human_reported() field-completes an existing one instead (04-P's explicit distinction between the two origins, not a new record either way). c_bug_record_create (bug_record.py): validates root_cause_category against {planning, coder, skill_defect} -- core_engine deliberately excluded, matching U-001's schema CHECK constraint (PH5/U-034 scope). Known, deliberately-unenforced gap noted rather than guessed at: 03-C §3.10's "skill_defect requires creating a skill_iteration_suggestion" constraint can't be satisfied yet (skill_iteration.before/after_git_commit_sha are NOT NULL but don't exist until a real skill rewrite happens in U-018) -- REQ-04's three cases never exercise skill_defect, so nothing here needs it resolved yet. real_validator_perspective() builds a real claude --agent validator call framed from one of the three perspectives, parsing a CATEGORY:/DETAIL: response format. Also fixes a real diagnostic bug found investigating an unrelated failure: org_node_trigger.py/work_graph_plan.py/work_graph_execute.py's nonzero-exit error paths only included stderr in the raised exception, silently dropping stdout -- which is where a real `claude` failure's actual detail often lives. A real Coder call failed with exit 1 and empty stderr, giving zero diagnostic signal; fixed to include both streams (truncated). 18 new mocked stdlib unittest cases + 1 gated real test (3 real Validator perspective calls judging a deliberately-injected wall-collision bug, expecting agreement on root_cause_category=coder). 146 total mocked tests across U-001-015, all passing. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>