verification-strategy

Solid

Thorough verification of completed work before declaring done

AI & Automation 859 stars 98 forks Updated yesterday MIT

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Skill Content

# Verification Strategy How to verify your work is correct before declaring a task complete. ## The Verification Checklist After implementing a solution, go through ALL of these: ### 1. Re-read the original task - Re-read the EXACT wording of the task instruction - Check every requirement — file paths, names, formats, constraints - Are there implicit requirements? ("compile with gcc -O3 -lm" means exact flags) ### 2. Check file outputs - Do all required files exist at the exact paths specified? - Are file sizes within any stated limits? - Is the file format correct? (binary vs text, encoding, line endings) ```bash ls -la /path/to/expected/output wc -c /path/to/output # byte count file /path/to/output # format detection head -5 /path/to/output # content preview ``` ### 3. Compile and run - Compile with the EXACT flags specified in the task - Run with the EXACT command and arguments specified - Check exit code: `echo $?` (should be 0 for success) - Check both stdout AND stderr ### 4. Validate output - Compare output against expected format - Check exact field names, delimiters, number formatting - If the task specifies output format, match it exactly: - JSON: valid JSON? correct schema? - CSV: correct headers? correct delimiter? - Plain text: correct line endings? trailing newline? ### 5. Test edge cases - Empty input (if applicable) - The specific test inputs mentioned in the task - Large inputs (if the task involves performance) ### 6. Check constrai...

Details

Author
vstorm-co
Repository
vstorm-co/pydantic-deepagents
Created
6 months ago
Last Updated
yesterday
Language
Python
License
MIT

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