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resilient-data-gathering

Fallback pattern when primary tools fail - embed known data in scripts and persist to JSON for auditability

benchmarks/gdpval/skills/resilient-data-gathering/SKILL.md

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# Resilient Data Gathering Workflow

## Purpose

When `search_web`, `shell_agent`, and `execute_code_sandbox` all fail repeatedly with 'unknown error' or similar tool execution failures, fall back to embedding known domain data directly into `run_shell` Python scripts and persisting intermediate data to JSON files for auditability and recovery.

## When to Use This Pattern

Apply this pattern when:
1. **Trigger condition**: 2-3 consecutive failures across multiple tools (`search_web`, `shell_agent`, `execute_code_sandbox`) with 'unknown error' messages
2. **You have domain knowledge**: The required data is known or can be reasonably estimated from context
3. **Auditability needed**: Intermediate results must be preserved for verification or rollback

## Step-by-Step Instructions