**Overall Verdict:** Strong Accept — The submission is complete, internally consistent, safely packaged, and provides a reachable offline workflow with objective exact-span evaluation.

**Completeness Check:**
- Instruction: Complete — Clearly defines the professional objective, process evidence, positive-span criteria, exclusions, output format, and boundary requirements.
- Inputs: Complete — The input package contains 20 test cases, 20 labeled training cases, training gold, schema, and task documentation. Test cases omit feedback text as required.
- Toolchain: Complete — Python 3.13 and a standard-library evaluator are specified, with no credentials or external services required.
- Reference output: Complete — The reference package includes gold outputs, provenance, hidden feedback, evaluation code, numeric specification, and release documentation.
- Rubric: Complete — The primary all-cases-exact metric and strict validation failures are explicitly defined, with diagnostic metrics included.

**File and Task Reachability:**
The attachment classification is `reachable`, and the end-to-end task classification is `reachable`. I inspected `KisKIan_ALE_v2_Input_Writing_Processes_and_Training.zip`, `KisKIan_ALE_v2_Hidden_Ground_Truth_and_Evaluator.zip`, and `KisKIan_ALE_v2_Blind_GPT-5.5_Difficulty_Self-Test.zip`, including their archive inventories, extracted file types, JSONL schemas, representative records, aggregate counts, evaluator logic, provenance summaries, and self-test results. Downloaded sizes matched the manifest; archives were readable, unencrypted, and showed no unsafe traversal paths. Large event streams were machine-checked in bounded aggregate form rather than printed exhaustively. The input/reference separation is coherent: test data has no feedback field, while hidden gold and feedback are confined to the reference package. The evaluator provides a direct path from test cases and predictions to objective scoring. The declared Python runtime was not available in the reviewer shell, so the evaluator was inspected but not executed; this is a reviewer-tooling limitation, not a task defect. The blind self-test reports 0/8 primary successes, demonstrating high difficulty but not an implementation or reachability failure.

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 demonstrates strong task design: authentic process-oriented inputs, explicit provenance rules, person-disjoint training/test separation, protected hidden feedback, and strict objective evaluation. No changes are required.