fpf:status

What problem does it solve?

This Skill automates the manual and error-prone task of auditing an FPF knowledge base by verifying directory structure, counting hypotheses by layer, checking evidence freshness, and summarizing recent decisions so maintainers can immediately understand system health.

Core Features & Use Cases

• Directory Verification: Confirms the presence of .fpf and required subdirectories (knowledge L0/L1/L2, evidence, decisions).
• Hypothesis Counts & Phase Detection: Counts files in each knowledge layer and infers the current FPF phase using the provided phase detection logic.
• Evidence Freshness Analysis: Parses evidence frontmatter valid_until fields to classify items as fresh, stale, or expired and surfaces warnings.
• Decision Summary: Lists decision records and recent DRRs to indicate completed decisions and winners.
• Use Case: A knowledge manager or engineer uses this Skill to prepare the knowledge base for audits, decide next workflow steps, or identify stale evidence needing review.

Quick Start

Run the fpf:status skill to display the FPF knowledge base directory structure, hypothesis counts, evidence freshness classification, and recent decisions summary.