fpf:query

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

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Install skill "fpf:query" with this command: npx skills add neolabhq/context-engineering-kit/neolabhq-context-engineering-kit-fpf-query

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

HypothesisLayerKindR_eff
redis-cachingL2system0.85
cdn-edgeL2system0.72

redis-caching (L2)

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

R_eff: 0.85 Weakest Link: internal test (0.85)

Dependencies:

[redis-caching R:0.85] └── (no dependencies)

Evidence:

  • ev-benchmark-redis-caching-2025-01-15 (internal, PASS)

cdn-edge (L2)

Title: Use CDN Edge Cache Kind: system Scope: Static content delivery

R_eff: 0.72 Weakest Link: external docs (CL1 penalty)

Evidence:

  • ev-research-cdn-2025-01-10 (external, PASS)

Search Methods

By Keyword

Search file contents for matching text:

/fpf:query caching -> Finds all hypotheses with "caching" in title or content

By Specific ID

Look up a specific hypothesis:

/fpf:query redis-caching -> Shows full details for redis-caching -> Displays dependency tree -> Shows R_eff breakdown

By Layer

Filter by knowledge layer:

/fpf:query L2 -> Lists all L2 hypotheses with R_eff scores

By Decision

Search decision records:

/fpf:query DRR -> Lists all Design Rationale Records -> Shows what each DRR selected/rejected

R_eff Display

For L1+ hypotheses, read the audit section and display:

R_eff Breakdown:

  • Self Score: 1.00
  • Weakest Link: ev-research-redis (0.90)
  • Dependency Penalty: none
  • Final R_eff: 0.85

Dependency Tree Display

If hypothesis has depends_on , show the tree:

[api-gateway R:0.80] └──(CL:3)── [auth-module R:0.85] └──(CL:2)── [rate-limiter R:0.90]

Legend:

  • R:X.XX = R_eff score

  • CL:N = Congruence Level (1-3)

Examples

Search by keyword:

User: /fpf:query caching

Results:

HypothesisLayerR_eff
redis-cachingL20.85
cdn-edge-cacheL20.72
lru-cacheinvalidN/A

Query specific hypothesis:

User: /fpf:query redis-caching

redis-caching (L2)

Title: Use Redis for Caching Kind: system Scope: High-load systems R_eff: 0.85 Evidence: 2 files

Query decisions:

User: /fpf:query DRR

Design Rationale Records

DRRDateWinnerRejected
DRR-2025-01-15-caching2025-01-15redis-cachingcdn-edge

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