What happens when evidence expires?

The skill compares the 'valid_until' field in your evidence frontmatter with the current date. If evidence is expired or stale, it issues a warning and suggests running the /fpf:decay command to refresh it.

Is this skill compatible with tools other than Claude Code?

Yes, as part of the context-engineering-kit, it is designed to be compatible with OpenCode, Cursor, Antigravity, and the Gemini CLI.

How does the skill determine the current phase?

It uses Phase Detection Logic that examines the distribution of hypotheses across L0 (Proposed), L1 (Verified), and L2 (Validated) directories to suggest whether you should be in the Abduction, Deduction, or Induction phase.

What is the primary purpose of the fpf:status skill?

The fpf:status skill provides a detailed overview of your Fact-based Problem Formulation (FPF) environment, checking the integrity of your knowledge layers and the freshness of your gathered evidence.

FPF Knowledge Base Status

Name: FPF Knowledge Base Status
Author: NeoLabHQ

byNeoLabHQ

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687

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Productivity & Workflow

Monitors and reports the current state of your Fact-based Problem Formulation (FPF) knowledge base and hypothesis layers.

The FPF Status skill provides a comprehensive health check for projects utilizing the Fact-based Problem Formulation methodology within the context-engineering-kit. It automates the tracking of hypotheses through their entire lifecycle—from L0 (Proposed) to L2 (Validated)—while identifying the current workflow phase, such as Abduction, Deduction, or Induction. By scanning for expired evidence and listing recent Decision Record Reports (DRRs), this skill ensures that developers and AI agents maintain a high-integrity, well-organized knowledge repository for informed decision-making.

Key Features

01Real-time hypothesis counting across L0, L1, L2, and Invalid layers

02Summary reporting of recent decisions and architectural winners

03687 GitHub stars

04Automated verification of .fpf directory and knowledge layer structures

05Intelligent phase detection to guide the next steps in the FPF workflow

06Evidence freshness monitoring with expiration alerts and stale data warnings

Use Cases

01Generating an instant project snapshot for team members to understand the current problem-solving state

02Auditing the health of a project's knowledge base before moving to a decision phase

03Identifying stale evidence that requires re-validation via the decay process

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add neolabhq/context-engineering-kit status

For use in Claude.ai and ChatGPT

Download Skill