fpf:query

fpf:query — an installable skill for AI agents, published by neolabhq/context-engineering-kit.

INSTALLATION
npx skills add https://github.com/neolabhq/context-engineering-kit --skill fpf:query
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

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

**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:

| Hypothesis | Layer | R_eff |

|------------|-------|-------|

| redis-caching | L2 | 0.85 |

| cdn-edge-cache | L2 | 0.72 |

| lru-cache | invalid | N/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

| DRR | Date | Winner | Rejected |

|-----|------|--------|----------|

| DRR-2025-01-15-caching | 2025-01-15 | redis-caching | cdn-edge |
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