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This repository was archived by the owner on Oct 21, 2025. It is now read-only.
* Add pre-commit hooks configuration
- Add .pre-commit-config.yaml with exact command matching
- Use local hooks to ensure consistency with pyproject.toml settings
- Run checks in order: ty → ruff check → ruff format
- Add pre-commit setup instructions to CLAUDE.md
- Include general file quality checks (trailing whitespace, etc.)
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <[email protected]>
* Fix all type errors and linting issues
- Remove multi_turn parameters from all test classes
- Delete unused experimental files (exploit_simple.py, exploit_unified.py)
- Delete simplified_test.py
- Use Any type for flexible client handling (ANN401 already ignored)
- Fix trailing whitespace and end-of-file issues
- Update base class to accept any client type
- Remove unused imports
* Optimize pre-commit hooks configuration
- Enable auto-fixing: ruff check --fix and ruff format (no --check)
- Remove redundant hooks (trailing-whitespace, end-of-file-fixer, etc)
- Keep only essential validators: YAML, JSON, TOML, merge-conflict
- Ruff already handles Python formatting/whitespace issues
* Revert JSON files to origin/main state
- Undo end-of-file changes to generated JSON files
- These files should not be modified by pre-commit hooks
* Update README with accurate pre-commit setup instructions
- Document uv tool install with pre-commit-uv plugin
- List what hooks do automatically (type check, lint, format)
- Clarify that hooks use same commands/settings as manual runs
- Note that ruff auto-fixes safe issues
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Co-authored-by: Claude <[email protected]>
Copy file name to clipboardExpand all lines: competition.md
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@@ -106,4 +106,4 @@ This competition represents a significant effort by OpenAI to:
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- Create a structured evaluation process with expert oversight
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- Build a comprehensive understanding of model vulnerabilities
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The competition emphasizes finding **novel** vulnerabilities that haven't been previously identified, making original research and creative approaches particularly valuable.
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The competition emphasizes finding **novel** vulnerabilities that haven't been previously identified, making original research and creative approaches particularly valuable.
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