**Overall Verdict:** Accept — the task, evaluator, references, and self-test evidence are complete and end-to-end reachable, with only an AI-assisted provenance screening note.

**Completeness Check:**
- Instruction: Complete — specifies the motion sequence, laterality, geometry/rig requirements, scene setup, output contract, and prohibited shortcuts.
- Inputs: Complete — `character.obj`, `character.mtl`, and the reference video are present and readable; the OBJ contains 14 mesh objects and the declared three-material palette.
- Toolchain: Complete — Blender 5.2.1 LTS on macOS is appropriate; scripting and FFmpeg provide a feasible production/evaluation path without credentials.
- Reference output: Complete — `stage_config.json`, `reference.blend`, `ground_truth_motion.json`, reference video, metadata, and licensing documentation define the expected scene, motion, coordinates, and provenance.
- Rubric: Complete — evaluator configuration and scripts define landmark correspondence, laterality, timing windows, contact handling, replay checks, validity gates, and manual review provisions.

**File and Task Reachability:**
The attachment set is `reachable`: all manifest entries were downloaded with matching byte counts and safely inspected, including `FILES.json`; both video copies; `character.obj`; `character.mtl`; `stage_config.json`; `reference.blend`; `ground_truth_motion.json`; `SOURCE_AND_LICENSE.md`; `reference_metadata.json`; `preview.mp4`; `final.blend`; `run_evaluator.py`; `evaluator_extract.py`; `evaluator_replay.py`; `evaluator_config.json`; and `manual_rubric.md`. The OBJ/MTL and JSON/Markdown files parsed successfully. The MP4 containers are H.264 streams with 960×960 dimensions, 192 frames, and 8-second duration. The Blender payloads were decompressed and structurally inspected; the submitted scene contains 14 numbered mesh parts, an armature, an animation action, camera, floor, and lighting. I did not launch Blender or execute submitted scripts, and this environment lacked a video decoder, so fresh replay, actual evaluated deformation, and frame-by-frame visual quality remain unverified reviewer-tooling limitations rather than attachment access barriers. The task itself is `reachable`: a contributor can obtain the declared free toolchain, build the scene from the supplied inputs, produce both deliverables, and run the objective evaluator on one suitable machine. License keys, accounts, tokens, and other credentials are not required from the contributor. Confidential, proprietary, or internal material may be evaluated as submitted evidence without requiring additional disclosure.

**Special Screening:**
`ai_synthetic` — the reference metadata states that the reference animation was generated by headless Blender scripts and authored with AI assistance, and describes the action as newly authored without evidence of an authentic professional-performance origin. The source character is separately documented as a CC0 asset. The synthetic provenance should remain explicitly disclosed to evaluators.

**Recommended Changes:**
The package is otherwise professionally specified and evaluator-ready; no implementation changes are required. Retain the explicit disclosure that the reference motion and ground truth are scripted AI-assisted synthetic material, and keep evaluator-only scene, ground-truth, and scoring assets separated from solver-visible inputs.