verification

name	verification
description	Double-check outputs by re-running queries and comparing results. Use when accuracy is critical or when you suspect an error in a previous tool result.
auto_activate	false
tools	["verify_output"]

Verification Skill

When accuracy is critical, use this skill to verify outputs by re-execution and comparison.

When to Verify

• After getting unexpected or surprising results
• When the user explicitly asks for verification
• When working with numerical calculations or data lookups
• Before making irreversible decisions based on tool output

Verification Process

1. Record the original result: Note the tool name, parameters, and output
2. Re-execute: Run the same query again with identical parameters using verify_output
3. Compare: The tool will automatically compare outputs and flag discrepancies
4. Report: If results differ, investigate why (timing, randomness, external state changes)

Interpreting Results

• Match: Both executions returned the same result — high confidence
• Mismatch: Results differ — investigate the cause before proceeding
• Acceptable variance: Some tools have inherent variability (e.g., search rankings, timestamps). Minor differences in these are expected.

Best Practices

• Verify critical tool outputs, not every single call
• For non-deterministic tools (search, LLM calls), focus on structural consistency rather than exact match
• If verification reveals an error in your previous reasoning, correct it explicitly
• Record verification results for audit trail via memory_store