{ "action": "run", "task_id": "P22-02", "reason": "P22-02 is ready, has no depends_on, is unsubmitted, has 0 repairs, and its base_commit 10c62e1 matches HEAD with a clean tree. The spec SHA and the accepted input (raw SHA 45fa52ac…, 217190 bytes, lossless d/l/s/r encoding) are pinned, and the r01 and r02 preflight evidence is already in the repo, so nothing blocks starting. Scope is limited to allowed_paths (execution/p22-02/** and tools/check_p22_asset_contracts.py): contract/ledger/checker only, with no product, asset, spec, Runner, policy or git writes. The worker must: decode every field and verify the per-file semantic SHAs, the exact 614 IDs and 2 non-image state groups, and the wrong tag/type/index/cycle/duplicate-key rejects; join the 495 existing and 119 missing candidates to the real raw bytes, PNG dimensions/CRC, naming, replacement chain and current source (main.gd and world_preview updated to the current observed versions); reuse the verified Kenney 276/296 member, license and zip evidence, keeping the internal origin of BGM2 separate from final rights/hearing acceptance (left pending); keep D08/D09 explicitly unknown, with no CC0-only restriction and no invented quantities; keep record integrity separate from original-unit readiness, derived from the data, so that --require-ready exits non-zero while any original condition is unmet, with no hardcoded always-fail and no vacuous pass on zero completed frames; deduplicate through shared references so the exact reviewer packet stays under 500000; and leave concrete product/display/hearing proposals. Read the r02 JSON of about 1.5MB only with targeted python, never cat it. Use python -B and ast.parse; no engine or full regression. Submission means only that the contract work is written, never that the original P22-02 is complete (acceptance stays 0/1). Root static checks and negatives come first; the formal check, a separate Opus review and integration only after every acceptance condition is met.", "codex_model": "gpt-6.1-sol", "codex_model_reason": "The owner set Sol as the default and only one implementation slot is available. The work is mostly mechanical stdlib-Python transformation: decoding the 614 records, joining them to existing in-repo evidence and generating JSON/Markdown under a size limit. It needs no new research, engine runs or product edits, and the checker's output can be verified with static checks and negatives. Sol costs less time and usage, and two repairs are available as a buffer. The hardest point is keeping integrity separate from readiness without a false pass. If a repair is rejected on that readiness logic or on the decoder's correctness, Astra will be considered then." }