CharlesYang030
244e346b83
- Skill optimization framework with training loop analogy - 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen) - WebUI for browser-based training control - Pluggable architecture for extending benchmarks and backends
10 lines
575 B
Markdown
10 lines
575 B
Markdown
## Critical Rules (MUST follow)
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1. NEVER write Excel formulas to cells that will be graded on their displayed value.
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openpyxl does NOT compute formulas -- the evaluator will see None.
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Instead, compute results in Python and write literal values (numbers/strings).
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2. After saving the workbook, ALWAYS reopen and verify the written values:
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`wb2 = openpyxl.load_workbook(OUTPUT_PATH); print(wb2[sheet][cell].value)`
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3. Use the `write_file` tool to create solution.py -- it avoids shell escaping issues.
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Do NOT use `echo "..." > solution.py` for multi-line scripts.
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