Validate field atlas extractions
fieldatlas-validateworkflowsetup L2★0
kayadibi1/fieldatlas ↗What it does
Independently deep-read a sample and check FieldAtlas
Best for
Environment or artifact verification with mechanical pass/fail detection against ground truth.
Inputs
- · args: configuration object
- · file_content (markdown/text)
- · grep_results (text)
Outputs
- · markdown_files (md)
- · structured_data (JSON)
- · verdict_reports (JSON)
Requires
- · agent
- · phase
- · pipeline
- · bash
- · file_read
- · sqlite
- · json_schema
Preconditions
- · Specific repo paths or tool locations configured
- · Python virtual environment or package manager set up
- · Workflow orchestrator runtime context
- · LLM agent tier models available
- · Async runtime environment
Failure modes
- · Agent timeout or non-response
- · Phase execution state corruption
- · Command execution failure or non-zero exit
- · Promise rejection or timeout
- · Database query or connection failure
- · Malformed input data
- · Empty result set causing downstream failures
Trust signals
- · Structured output schemas with required-field validation
- · Explicit enumeration of findings with severity/category classification
- · Ground-truth validation against authoritative source
- · Iteration history tracked for convergence analysis
- · Explicit specification or contract documentation