Gentle Pi Open Backlog — Causal Survey
Snapshot: strict-v1-88113a3da8ce1ac3212facb363d91144184de689f094ec1ea8c249dca3045472
Cutoff: 2026-09-01T13:25:12.459361Z
Frozen main: 6c391ad9e6fc2e4ca5931a7c22eaf08b97412162
Inventory: 85 issues / 32 PRs / 84 roots
External mapping: every frozen issue is assigned exactly once; every frozen PR has exactly one action.
P0 queue
Open PR actions
feature-review: 5
rebase-resolve: 15
retain-and-verify: 10
split-scope: 2
Maintainer decisions
D-001 (unresolved): Does the root cause of background-subagent capability require the reported prerequisites (first supported runtime, minimum adapter version, selection mechanism, task mode, worktree preflight), or is the current ready|absent capability sufficient for initial deployment?
D-002 (unresolved): Should the inline fast-path classification for non-SDD verification commands use command presence as an unconditional trigger (as assets/orchestrator.md and assets/orchestrator-delegation.md define), or require a more discriminating predicate to avoid misclassifying small tasks?
D-003 (unresolved): What are the four approval-blocking decisions and the one enable/disable barrier policy that must be frozen in root-419 before the task-activity subsystem can proceed (closed-code vocabulary, cancellation cut-off, shutdown bound, concurrency limit, and the enable/disable policy)?
D-004 (unresolved): Should PR 39's investigation be abandoned due to staleness, or does post-v0.6.0 harness architecture still make its findings relevant?
D-005 (unresolved): Should stale PRs 195, 281, 539 be closed due to lack of contributor engagement (14+ days since last activity), or should they be pinged and preserved?
D-006 (unresolved): Should the root-370 fix (relay/handshake bug) be implemented as a single PR, or split given the suspected 400-line budget risk and the complexity of diffing relay/handshake code between versions?
D-007 (unresolved): For PRs 420, 426, 435, 439, 457: should maintainers rebase and attempt resolution of each conflicted PR, or close them and require fresh implementations given the divergence?
D-008 (unresolved): Should PR 387 be merged (deferring to fix(orchestrator): prevent unauthorized execution-surface escalation #379 's selected-authority seam) or closed, given that fix(orchestrator): prevent unauthorized execution-surface escalation #379 's state and the selected-authority seam ownership are unknown?
D-009 (unresolved): Should PR 504's duplicate declaration be confirmed as a real bug before merging, or is it a diff-context misplacement that should be resolved during rebase?
D-010 (unresolved): Should the five Open Decisions in root-405 (Bash tool_call protection design) be put to maintainer vote before any implementation branch is created?
Next 10 high-value actionable roots
root-107 · P1 — fix(quiet-tools): preserve Pi's configured Bash shellPath on Windows #107 . Read extensions/quiet-tools.ts (or the equivalent extension entry point) to verify whether createBashTool receives and forwards settings.json.shellPath from the Pi configuration, and inspect TOOL_CREATORS registration.
root-160 · P1 — fix(codegraph): execute npm shim safely on Windows #160 , bug(codegraph): MCP codegraph tool fails on Windows (execFile without shell cannot spawn .cmd shim) #500 . Verify bug(codegraph): MCP codegraph tool fails on Windows (execFile without shell cannot spawn .cmd shim) #500 's environment captures on frozen main reference the same codegraph-tools.ts file or equivalent MCP adapter to confirm exact line parity
root-230 · P1 — bug(review): corrected candidate drops staged initial tree and counts the full slice as the correction #230 . Read the FINALIZE handler in the review integration codebase (lib/review-integration-v2.ts, runtime/native-review-cli.mjs, and the authority store write path); confirm whether the corrected candidate is composed from staged base + unstaged diff or taken as-is, and whether actual_correction_lines is computed from the diff or from the initial staged total.
root-327 · P1 — bug(agents): builtin agent source is permanently empty — builtinAgentDirs probes agents/ directories the subagents packages never ship #327 . Read extensions/gentle-ai.ts around line 327 to inspect builtinAgentDirs and the comment documenting the expected agents/ path. Verify pi-subagents package contents for agents/ directory.
root-343 · P1 — Candidate views leak 32 MB per session into the gentle-ai store and are never swept #343 . Read lib/review-candidate-view.ts around line 596 to inspect the session_shutdown listener registration and verify absence of a startup cleanup sweep for candidate views.
root-348 · P1 — fix(orchestrator): enforce inline skill output contracts #348 . Identify and read the orchestrator module responsible for inline skill execution and output contract enforcement. Verify whether loaded skill contracts are applied consistently.
root-369 · P1 — fix(skill-registry): mirror Pi-resolved loaded skills #369 . Locate registry generation entry-point (skill-registry.ts or atl/skill-registry.md); confirm it reads fixed loose roots instead of before_agent_start.systemPromptOptions.skills; patch to consume Pi-resolved loaded-skill records
root-379 · P1 — fix(orchestrator): prevent unauthorized execution-surface escalation #379 . Read extensions/gentle-ai.ts at snapshot 6c391ad and locate the tool_call handler; verify whether openProjectPaneIfMissing is checked before UI/tool execution and whether gentle-ai.execution-surface.external-fallback-prohibited is returned.
root-455 · P1 — fix(review): preserve consent bindings across active Pi sessions #455 . Read lib/review-integration-v2.ts and runtime/review-integration-v2.mjs for consent binding storage and answerConsentBinding.
root-464 · P1 — bug(release): latest v2.2.0 still strands corrected lineages before last-event migration #464 . Inspect package-local .gentle-ai Go binary diff between shipped v2.4.0 and main for review_facade.go correction preflight and FINALIZE.
Recent movement
Audit health
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
Gentle Pi Open Backlog — Causal Survey
strict-v1-88113a3da8ce1ac3212facb363d91144184de689f094ec1ea8c249dca30454722026-09-01T13:25:12.459361Zmain:6c391ad9e6fc2e4ca5931a7c22eaf08b97412162P0 queue
Open PR actions
feature-review: 5rebase-resolve: 15retain-and-verify: 10split-scope: 2Maintainer decisions
Next 10 high-value actionable roots
Recent movement
2026-09-01T13:20:55Z— docs(readme): document review-mode and sdd-preflight commands2026-09-01T11:39:17Z— feat(review): run reviewer roles as Pi subagents (fresh constrained executor per lens)2026-09-01T11:39:16Z— review happy-path MCP traffic exhausts agent context: full collectBindings inlined in status and re-pasted twice per capture2026-08-31T23:48:07Z— gentle_review_capture rejects ordinary collect bindings — forecast ack resubmit and even first no-ack capture fail (capture-binding-rejected)2026-08-31T23:44:48Z— test/ci: harden Windows test baseline and enable Windows CI2026-08-31T23:37:59Z— fix(skills/review): dedup drive-less URLs and sanitize scoped git config2026-08-31T18:34:02Z— fix(review): support pre-start untracked selection2026-08-31T18:05:11Z— feat(review): launch 4R lens capture subprocesses concurrently in the host relay2026-08-31T16:53:15Z— Windows: CodeGraph Pi tool reports ENOENT because execFile("codegraph") does not resolve npm/Scoop shims2026-08-31T13:17:17Z— bug(orchestrator): command presence forces subagent verification for bounded checksAudit health
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