**Overall Verdict:** Strong Accept — The submission is complete, internally consistent, professionally representative, objectively scorable, and reachable end to end without material risk.

**Completeness Check:**
- Instruction: Complete — Clearly defines the coding objective, reportability criteria, significant procedures, sequencing rules, code specificity, and exact JSON output schema.
- Inputs: Complete — The clinical summary and demographics are readable, and the FY2025 codebooks contain the stated 74,260 diagnosis codes and 78,948 procedure codes with valid, unique records.
- Toolchain: Complete — Python 3.12 and standard libraries are legally obtainable and sufficient; the supplied evaluator uses only standard-library functionality.
- Reference output: Complete — Valid JSON contains one principal diagnosis, 21 unique secondary diagnoses, and six unique procedures. Every reference code exists in the supplied codebooks and is supported by documented clinical evidence.
- Rubric: Complete — Deterministic exact-match and set-F1 scoring provides clear partial credit with explicit weights and normalization. The intentional code-only scoring scope is disclosed.

**File and Task Reachability:**
The attachment set is `reachable`, and the end-to-end task is `reachable`. The inspected attachments were `icd_coding_instance_1_input.zip` and `reference_coding.json`. Within the ZIP, `task_prompt.txt`, `discharge_summary.txt`, `patient_demographics.json`, both ICD-10 codebooks, and the evaluator source were inspected. The archive is readable, unencrypted, free of unsafe paths or links, and expands to a reasonable size. Duplicate core input entries are byte-identical and do not impede use; macOS metadata was inventoried but not decoded because it has no task role. No task-relevant content remained unreviewed. The evaluator was inspected statically rather than executed because Python was unavailable in the review environment; this is a reviewer-tooling limitation, not a submission defect. A solver can read the clinical evidence and codebooks, write `output/coding_output.json`, and be evaluated against the separately held reference using the supplied deterministic evaluator. The protected answer is not present in the solver-visible input bundle. 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:**
None

**Recommended Changes:**
The submission is ready and requires no material changes. Removing duplicate archive entries and macOS metadata would be optional packaging cleanup only.