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Integrate External Tools (Skyvern/Hugging Face)

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: AI Code Audit & Optimization Agent

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Linked challenge
AI Code Audit & Optimization Agent

Prompt source

Original prompt text with formatting preserved for inspection.

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Expand your agent system to integrate one external tool: either Skyvern for dynamically browsing and extracting information from a specified code documentation website (e.g., Python standard library docs for best practices) or a Hugging Face Transformers model for a specific NLP task related to code (e.g., identifying sentiment in commit messages, classifying code snippets by purpose). Describe how the agent uses this tool and how its output influences the code review process. Provide code snippets for the tool integration.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.