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Implements org-graph-unification-phase2-universal-self-planning-design.md §4 + §5, the engine-extension sub-phase (Phase 2a) -- no org-flow callers changed yet, this is the underlying capability. - _run_one_node() now resolves subagent_type/skill_ref per-node (node.get with the run-level org_node/skill_id as fallback), threaded through _ensure_node_row/_make_run_fn/_resolve_node_verify_fn -- a node's own judgment.kind="llm" call runs under its own declared identity, not always the graph-level default. Found and fixed a real gap surfaced by writing this: run_graph() only ensures the run-level default skill_id exists as a placeholder skill (work_node_execution.skill_ref's FK target) -- a node declaring its own skill_ref needs the same guarantee or the first INSERT for that skill_id fails FOREIGN KEY constraint. - New on_fail.action="dynamic_loop_back": Reflection-review (_judge_root_cause_node) runs three real parallel perspectives (content/ connectivity/history) under the Validator identity, each picking a target_node_id from the failing node's real ancestors plus a defect_kind (content_error vs skill_defect), majority-voted by _tally_reflection (own small Counter-based implementation, not imported from root_cause_trace.py -- that module already imports this one). A runtime ancestor check in _run_one_node backs up _tally_reflection's own degradation guarantee. - skill_defect triggers Fix-Skill (_fix_skill_for_node) before the loop back fires: reads the target node's declared skill_ref, builds a rewrite prompt from what was asked/produced/why it failed/prior loop history, runs it under the Validator identity (user-confirmed via AskUserQuestion), then calls the existing but -- until now -- never actually invoked by any production path bug_record.create_bug_record() + skill_update.update_skill(), against skill_query._REPO_ROOT (never target_folder_path). Logs a real 'skill_iterated' execution_event (a CHECK-enum value that has existed since the original U-001 schema but was never written before). Rate-limited to _MAX_SKILL_FIXES_PER_RUN_PER_SKILL rewrites of the same Skill per run. - New total-attempts-per-source-node loop_limit guard alongside the existing per-(target,source) one -- dynamic_loop_back can pick a different target each round, which would otherwise dodge the per-pair cap indefinitely. New settings_config key shape "{org_node}:{source_node_id}:total", no interface change needed there. - New skills/skill-defect-remediation/SKILL.md (Validator-only), wired into roles/validator/role.json. python3 -m unittest discover -s src (741 tests) + discover -s supervisor -p "test_*.py" (126 tests) both green, zero regressions. Deferred to Phase 2b (per design doc's own sequencing note): §2.1/§2.2 (work_graph_run.org_node removal + ux_work_graph_run_active index narrowing) -- narrowing that index now, before the append-to-existing-run mechanism lands, would break the current production flow, since Planner's and Coder's work_graph_run rows both stay non-terminal indefinitely on the happy path today (only Validator's own graph ever reaches 'done'). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> -
Design for org-graph-unification-and-universal-self-planning-requirements.md §3.1's step 3, previously flagged as the largest known gap in the Phase 2 SDD. Extends §5.4's Reflection-review to judge both a target node AND a defect_kind (content_error vs skill_defect), adds §5.5 Fix-Skill (a real Validator-identity call rewriting the target node's skill_ref content, via the existing but never-wired-up skill_update.py::update_skill() + bug_record.create_bug_record()), and confirms Re-loop needs no new mechanism -- the existing _LoopBackRequested path already re-runs the target node, which picks up the new skill content automatically since Claude Code loads Skill content by name at call time, not at agent frontmatter deploy time. Two findings during design that motivated/validated this work: - org_level_loop.py's _ROUTE_FOR_CATEGORY has no 'skill_defect' key -- skill_update.update_skill() has never been called by any production path despite root_cause_trace.py being able to classify skill_defect since U-015. Fix-Skill is the first time this dead capability gets wired up for real, via a new path, not by fixing the old one. - execution_event.event_type's CHECK enum has had an unused 'skill_iterated' value since the original U-001 schema -- no new migration needed to log Fix-Skill events. Also found and recorded a third work_graph_run.org_node call site (root_cause_trace.judge_root_cause_via_work_graph) that §2.1's column- removal missed. Confirmed via AskUserQuestion: the Skill-rewrite call always runs under the Validator identity, regardless of which org_node's skill is being fixed -- avoids the self-correcting-its-own-blind-spot problem, and matches skill_update.py's own "a Validator-triggered rewrite" docstring intent from 03-C. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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Phase 1 (planner_reviewer review gate + P0 resume-bug fix) shipped as ea19c7d, matching org-graph-unification-phase1-review-gate-design.md exactly (new task.status value, org role, _REQUIRED_ARTIFACTS narrowing, both bugs fixed). Moving that design doc and the P0 bug doc it subsumed to docs/done/, updating their status headers, and fixing the doc-path references left pointing at their old docs/todo/ location across agents/planner_reviewer/{SOUL,AGENTS}.md, src/schema.py migration docstrings, and the other Phase 2/deblackbox docs. Full suite green (731 tests) both before and after. Also ran Phase 2 SDD's §9 interface-reconciliation checklist against the real Phase 1 implementation now that it exists for real: all three items check out (run_id is included in plan_and_review_documents()'s return shape, the new task.status value is exactly reviewing_planner_output as assumed, and planner_reviewer's role.json doesn't pre-reserve a skill slot for Phase 2's new skill, which is fine -- a one-line addition when Phase 2c lands, not an incompatibility). Updated §9 to reflect this. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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User's key insight, recorded as a goal in the requirements doc (new §3.1): a failed node shouldn't just get a corrective retry (fix-bug, forgotten after this run) -- when the root cause is a systemic Skill defect, the Skill itself must be fixed (fix-skill, persists across all future tasks). Four-step chain: judgment fails -> Reflection-review node does full-chain root-cause diagnosis (one-off content error vs systemic skill defect) -> if systemic, a Fix-skill node calls the already-existing skill iteration machinery (skill_update.py::update_skill() + bug_record.py, real Git- versioned commits, previously only reachable via org_level_loop.py's coarse Org-level path, never from inside a Work Graph's own judgment/ loop_back cycle) -> loop back and re-run using the updated skill. Cross-referenced into the Phase 2 design doc: its dynamic_loop_back (§5) implements steps 1/2/4 of this chain but not step 3 (Fix-skill) -- flagged as the largest known scope gap in §8, not a missed detail. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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Inserts Planner -> planner_reviewer -> Coder -> Validator into the fixed Org Graph flow (was Planner -> Coder -> Validator), per docs/todo/org-graph-unification-phase1-review-gate-design.md. A new planner_reviewer role independently judges whether Planner's BRD/PRD/SDD/ Benchmark output is real structured content (not narrative prose) before Coder is allowed to start, with a 3-attempt retry loop and a narration heuristic informed by the real narrative-output incident (docs/todo/validator-test-script-narrative-output-issue.md). Also fixes, in the same code path: - The P0 bug in task-execution-resume-assumes-planner-artifacts-exist.md: resuming a task no longer assumes sdd/prd/benchmark artifacts exist -- falls through to real replanning when they don't. - A fresh-run KeyError (not resume-specific) when a self-planned graph omits the prd/benchmark node types. - agent_profile.migrated_from_profile was NOT NULL, which broke as soon as a role with no legacy Hermes profile (planner_reviewer) was recorded. org_node_lifecycle._REQUIRED_ARTIFACTS["coder"] is narrowed from (brd,prd,sdd,benchmark) to (sdd,) -- the old 4-artifact gate never actually blocked anything since artifact_write.py sets validation_status='passed' unconditionally; planner_reviewer is the first real semantic gate. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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Design for FR-2/FR-3/FR-4: extending self-planning to Coder/Validator, per-node subagent/skill/tools binding, and node-level precise loop_back replacing org_level_loop.py's coarse fast_lane/full_replan routing. Three findings during design research that revise the requirements doc's original FR-2 assumption ("just swap the call site"): - _GENERIC_PROMPT_TEMPLATE never solicits judgment/on_fail today -- Coder/ Validator switching to plan_work_graph() as-is would produce graphs with no judgment/loop-back capability at all. - run_graph()'s subagent_type/skill_ref are run-level constants passed to every node identically, not node-level despite work_node_execution already having columns for it -- needs a real (bounded) engine extension. - Today's on_fail.action="loop_back" target is statically declared at planning time via a single on_failure edge; it cannot express "a terminal validator dynamically diagnoses which of several ancestor nodes is the true root cause." New on_fail.action="dynamic_loop_back" designed for this, reusing root_cause_trace.py's jury/majority-vote structure with the vote target changed from a category to a node_id. Also incorporates three requirements-doc §7 decisions that were made (apparently concurrently) while this was being designed and overrule two of this doc's initial drafts: work_graph_run.org_node is removed entirely (not kept/sunk to node level) with concrete work_graph_run_query.py/ work_graph_fork.py rework; Coder/Validator get a suggested node-type catalog (not fully free-form); the append interface is a parameter on the existing plan_work_graph() (not a new function). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> -
… work, compress bloated incident log - Delete org-graph-as-work-graph-unified-loop-requirements.md: fully superseded by org-graph-unification-and-universal-self-planning- requirements.md; folded its one non-duplicated detail (the 2084590a benchmark-narration trigger incident) into that doc's background instead. - Split scheduler-production-polling-loop-{requirements,design}.md by completion status: FR-2 (in-flight task reconciliation, shipped) moves to docs/done/scheduler-task-reconciliation-{requirements,design}.md; FR-1 (new-goal auto-dispatch, still undecided) becomes a small standalone docs/todo/scheduler-new-goal-dispatch-requirements.md instead of staying bundled with a doc that's mostly done. - Compress validator-test-script-narrative-output-issue.md's six ad-hoc "第N轮更新" paragraphs crammed into one status line into a scannable timeline table; moved the task 2084590a benchmark evidence into §1 where the other repro examples live instead of leaving it stranded in the header. - implementation-gap-analysis.md: logged two new gaps found today (no pre-Coder review of Planner's output; node execution still depends on native Dynamic Workflow) plus the architecture.md §10.1 staleness itself, per that doc's own "edit in place" maintenance convention. - Updated the doc-path references left in src/task_execution.py and src/task_reconciliation.py docstrings to point at the new locations. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> -
- org-graph-unification-phase1-review-gate-design.md: implementable SDD for inserting a planner_reviewer stage (new org role, since _PRE_STATE/ _POST_STATE map org_node -> status 1:1 and can't reuse "validator" twice) between Planner and Coder. Folds in the P0 resume-artifact-assumption fix and a newly-found sibling KeyError in the fresh-run path. - graphlemon_architecture.md §10.2: records that §10.1's "方案 A" (reuse Claude Code's native Dynamic Workflow for Work Graph execution) was superseded -- the graph-orchestration layer already diverged (REQ-06 checkpoint/resume), and per today's decision the single-node execution layer is being migrated off it too, for controllability. - work-graph-node-execution-deblackbox-requirements.md: requirements+design for that migration -- replace the 3 remaining write_workflow_script/ execute_work_graph call sites with plan_work_graph()'s already-proven flat `claude --agent` + JSON-fence-extraction pattern. - Cross-referenced the two new docs from each other and from the existing P0/P2 todo docs they fold into or relate to. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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Merges the fixed-flow change (Planner -> Validator -> Coder -> Validator), universal per-org-agent self-planning, node-level validator skill, and frontend dynamic/historical graph asks into one requirements doc, folding in the P0 resume-artifact bug and the P2 test_script structural-fix placeholder that were blocking on the same design. Records the user's 2026-08-08 decision to merge all four org stages into one work_graph_run (scheme A) rather than cross-graph routing (scheme B), plus the concrete schema conflicts that decision surfaces (work_graph_run.org_node's single value + unique-active-run index) for Phase 2's SDD to resolve. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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work-graph-partial-artifact-persistence and work-graph-self-planning- and-loop-back (requirements + design) are all shipped and tested; move them out of docs/todo/ and fix up the docs/todo/*.md and src/*.py path references that pointed at their old location. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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Real end-to-end verification of Work Graph self-planning + loop-back (task 2084590a) hit the narrative-output problem again -- this time on a self-planned benchmark node, not test_script, disproving the earlier "BRD/PRD/SDD/Benchmark won't recur" hypothesis in validator-test-script- narrative-output-issue.md. The judge caught it once (round 3) but couldn't force a fix; the loop_back retry limit correctly exhausted and blocked the task cleanly instead of hanging or crashing. Also drafts org-graph-as-work-graph-unified-loop-requirements.md: extending today's Work-Graph-internal judgment/on_fail/loop_back mechanism up to the Org Graph itself, so Coder doesn't start from an unreviewed Planner output and a Validator FAIL can route to a precise node instead of a whole phase. Flags the real hard part (Planner/Coder each plan their own graph_manifest, so node ids don't share an address space across the org boundary) as the first open question, not yet implemented. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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v_task_board's task_id cell now links to #/graph?task_id=<id> for quick navigation to a task's execution graph. v_graph_console reads that param to preselect the task, and syncs the URL (via history.replaceState) on every task load -- including the initial auto-preselect -- so the address bar always reflects the task actually showing. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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ConsistencyCheckFailedError is now raised by both the PRD-consistency check and the test_script mechanical compile-check (07a0a27), but scheduler._blocked_reason_for still labeled every instance 'prd_consistency_check_failed', misleadingly blaming the PRD for test_script node failures. Distinguishes by node_id substring match (see docstring for the ponytail ceiling/upgrade path). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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Mitigates the recurring test_script/validator_test_script narration issue (100% repro across 3 tasks, 6 nodes): the existing compile-error feedback buries its "not a narrative description" note under raw tracebacks, which wasn't enough to stop the model repeating narrative output on retry. Adds _NARRATION_RETRY_HINT as a separate, directive feedback item alongside the compiler detail. See docs/todo/validator-test-script-narrative-output-issue.md §6-7 for the full root-cause analysis and rationale. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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