Query

This searches your FPF knowledge base and returns hypothesis details with their assurance scores. You get a table of results showing layer (L0/L1/L2), R_eff values, and dependency trees. It pulls from `.fpf/knowledge/` directories and decision records, displaying audit breakdowns that show weakest links and congruence level penalties. Useful when you need to find what hypotheses exist for a topic, check validation status, or understand why a particular R_eff score landed where it did. The dependency visualization is particularly clean, showing how assurance degrades through the tree. Beats manually grepping through structured knowledge files when you're trying to make architecture decisions based on validated assumptions.

skills.sh installs: 1.2K
GitHub stars: 1.8K
last updated: Aug 21, 2026

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Install

$ npx -y skills add neolabhq/context-engineering-kit --skill query --agent claude-code

Installs into .claude/skills of the current project.

Files

Query Knowledge

Search the FPF knowledge base and display hypothesis details with assurance information.

Action (Run-Time)

Search .fpf/knowledge/ and .fpf/decisions/ by user query.
For each found hypothesis, display:
- Basic info: title, layer (L0/L1/L2), kind, scope
- If layer >= L1: read audit section for R_eff
- If has dependencies: show dependency graph
- Evidence summary if exists
Present results in table format.

Search Locations

Location	Contents
`.fpf/knowledge/L0/`	Proposed hypotheses
`.fpf/knowledge/L1/`	Verified hypotheses
`.fpf/knowledge/L2/`	Validated hypotheses
`.fpf/knowledge/invalid/`	Rejected hypotheses
`.fpf/decisions/`	Design Rationale Records
`.fpf/evidence/`	Evidence and audit files

Output Format

## Search Results for "<query>"

### Hypotheses Found

| Hypothesis | Layer | Kind | R_eff |
|------------|-------|------|-------|
| redis-caching | L2 | system | 0.85 |
| cdn-edge | L2 | system | 0.72 |

### redis-caching (L2)

**Title**: Use Redis for Caching
**Kind**: system
**Scope**: High-load systems, Linux only

SKILL.md on GitHub