Structured Evidence Collection FAQs

Question 1

What is an Evidence Object in Claude Code?

Accepted Answer

An Evidence Object is a structured YAML file created by this skill that documents a specific claim, its source, a confidence level (0.0-1.0), and underlying assumptions to ensure research traceability.

Question 2

How does the Evidence Gate work?

Accepted Answer

The skill includes a quality control mechanism that requires a minimum of five validated evidence objects per research pillar before allowing the agent to proceed to the synthesis or conclusion phase.

Question 3

Why are semantic IDs used instead of sequential numbers?

Accepted Answer

Semantic IDs (e.g., EV-market-pricing-smb) provide immediate context about the content of the evidence, making it significantly easier for both the AI and human collaborators to reference specific findings.

Question 4

Does this skill automate the entire research process?

Accepted Answer

It provides the framework and workflow for research, using tools like WebSearch and WebFetch for discovery, but focuses on the structured documentation and validation of that evidence to prevent errors.

Question 5

Can I use this for non-technical research?

Accepted Answer

Yes. While optimized for development workflows, the schema supports diverse source types including interviews, PDFs, and academic papers, making it suitable for any analytical research task.

Structured Evidence Collection

Key Features

Use Cases

Structured Evidence Collection

Key Features

Use Cases