• 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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  • Found for real: a work_graph_execute.WorkGraphExecuteError ("API Error:
    Response stalled mid-stream") wasn't in _ROUTABLE_EXCEPTIONS, so it
    propagated uncaught and crashed the calling process entirely -- leaving the
    task neither running nor blocked_pending_human, just stuck with
    blocked_reason=NULL. run_scheduler_once's own try/except only protects
    OTHER goals in the same batch from one goal's failure; it never applied the
    task-level blocked_pending_human consequence either.
    
    Add a catch-all mirroring task_execution._mark_blocked's existing fallback
    for its own (Start-button) entry point, so both ways of running a task now
    guarantee it always lands on a real terminal-ish status with the real error
    message persisted, never a caller-crashes-and-the-task-is-just-stuck outcome
    nothing can manual_resume from.
    
    Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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  • New target projects never got .claude/agents/*.md deployed, so their first
    Planner call always failed immediately (claude --agent planner finds nothing
    in cwd) -- self-target usage never noticed since those files are already
    committed as part of this repo. create_project() now deploys and commits
    them alongside the existing .graphlemon/ init commit.
    
    Also: unroutable execution failures were recorded as a bare
    blocked_reason='execution_error' with no way to see what actually broke.
    scheduler._block_task()/task_execution._mark_blocked() now persist the real
    exception message into execution_event.payload (blocked_reason itself is
    unchanged -- budget_guardrail matches its exact value elsewhere).
    
    Found via a real console Start-button failure on a freshly created project;
    see docs/implementation-gap-analysis.md for the full writeup.
    
    Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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  • Adds paths.repo_root()/is_self_target() and forces needs_worktree=True in
    work_graph_orchestrate.run_graph() whenever target_folder_path is graphlemon's
    own checkout, regardless of caller intent -- 05 §5.8's unconditional rule,
    since a self-target in-place edit risks corrupting the currently-running
    process's own source out from under it.
    
    Adds src/core_engine_classify.py (path-based rule: .claude/agents/*.md,
    src/*, supervisor/* = core_engine; frontend/, docs/ = not) and
    bug_record.record_core_engine_change() (a PASS-path audit record, distinct
    from create_bug_record's FAIL-path root-cause attribution -- no route
    decision, status='resolved' from creation). scheduler.finish_task_lifecycle()
    records this audit trail as an additive side effect after close_task_done()
    on self-target PASS closures.
    
    Found and resolved a real SDD-internal conflict (confirmed with the user via
    AskUserQuestion) before wiring this up: supervisor-auto-rollback-design.md §1
    triggers Deploy Supervisor on self-target+Validator-PASS alone, but 03-C
    §3.11/04-P §4.6 literally gate it on an existing core_engine bug_record --
    and task_create.py confirms goal-type self-improvement tasks (the exact
    self-development-feasibility.md walkthrough scenario) never produce a
    bug_record on their happy path, which would silently defeat that whole task
    class under the literal reading. Resolved per user decision: trigger on
    self-target+PASS alone; the bug_record is a byproduct, not a gate.
    p_deploy_supervisor_blue_green (04-P §4.6) never touches task.status, so
    close_task_done() still runs unconditionally -- Deploy Supervisor is a fully
    decoupled state machine, matching §2's "no shared failure domain" principle.
    
    org_loop_route.py is intentionally untouched -- fast_lane/full_replan is
    FAIL-path retry routing, orthogonal to this PASS-path trigger; deployment
    row creation stays U-037's job per its own Done criterion.
    
    417 tests green; RealGitWorktreeIsolationTest (U-013/REQ-03's real git
    worktree regression) re-verified passing per this Unit's own Done criterion.
    
    Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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  • CLAUDE.md is explicit that PH5 (self-modification/auto-rollback) must not
    start until PH4 has genuinely closed -- not just "all unit tests green,"
    but 06-验收与测试锚点.md's REQ-01~14 happy/boundary/failure cases actually
    covered. A REQ-by-REQ audit (the same discipline that caught U-031's
    integration gap) found 5 real gaps:
    
    - REQ-03 failure: work_node_execution.status jumped straight
      running->retrying, skipping 'reflecting' (declared in the schema enum,
      never once written by any code).
    - REQ-05 failure / REQ-09 boundary: the "scheduler keeps serving other
      queued tasks past one blocked_pending_human" scenario was never tested
      against a real scheduler -- the old test literally said "no scheduler
      exists yet to test against directly" (stale since U-032).
    - REQ-06 / REQ-07 / REQ-14 failure (the biggest gap, shared root cause):
      CorruptPersistedStateError, ClassifierBlockedError, and
      UsageLimitWaitTimeoutError were each correctly raised and each correctly
      marked their own work_node_execution 'blocked', but nothing ever routed
      that to task.status='blocked_pending_human' with the blocked_reason each
      REQ's acceptance text names. e2e_pipeline.run_end_to_end is split into
      run_task_lifecycle() so scheduler.py's run_goal_to_completion can create
      the task itself and catch these three specific exceptions, following the
      same UPDATE+execution_event pattern budget_guardrail.check_budget()
      already established for REQ-10.
    - REQ-02 boundary: PRD internal-contradiction check (verifying->reflecting)
      had no implementation anywhere -- artifact_write always marked
      validation_status='passed' unconditionally. Added an optional verify_fn
      hook to work_graph_orchestrate.run_graph() (one regeneration attempt,
      then ConsistencyCheckFailedError) and a real consistency-check agent()
      call scoped to the PRD node only. The first real run of this new call
      caught a genuine bug: the model returned "consistent": "false" as a JSON
      string, not a boolean, which `if ok:` silently treated as truthy -- fixed
      with explicit _coerce_bool().
    - REQ-13 failure: minor test-assertion weakness (WS 404 rejection test
      didn't check the JSON error body).
    
    384 tests green. REQ-01~14 now have real, exercised coverage rather than a
    "tests are green" assumption -- PH4 can be treated as genuinely closed.
    
    Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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  • 04-P's blocked_pending_human branch, 01-M's task-table indexing rationale,
    and REQ-09's boundary case all presume an autonomous dispatcher scans queued
    tasks and keeps serving the queue past a blocked one -- but no such component
    existed. org_node_lifecycle._check_concurrency (U-010) only gates a single
    trigger call; e2e_pipeline.run_end_to_end (U-014) drives exactly one task,
    synchronously, only ever called from tests.
    
    Adds src/scheduler.py: run_scheduler_once() dispatches multiple Goals via
    ThreadPoolExecutor bounded by org_concurrency_config.max_concurrent_goals,
    each worker opening its own sqlite connection (with a busy_timeout) rather
    than sharing one across threads -- U-027's SIGSEGV already proved that needs
    a hand-held lock, which would just serialize everything back to front.
    
    Also closes a gap run_end_to_end's own docstring already flagged: it never
    called close_task_done (PASS) or org_level_loop.run_fix_loop (FAIL), leaving
    every task stuck at 'validating'. finish_task_lifecycle() applies that step
    without changing run_end_to_end's own tested behavior or scope.
    
    Real-write concurrency (multiple threads, separate connections, same db
    file) is stress-tested for real in test_scheduler.py without spending API
    budget -- the actually-new risk surface here is the threading/connection
    design, not the already-validated (U-031/U-017) work itself.
    
    Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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