neolabhq/context-engineering-kit/query

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

Install

npx vskill@latest install neolabhq/context-engineering-kit/query

SKILL.md

Query Knowledge

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

Action (Run-Time)

  1. Search .fpf/knowledge/ and .fpf/decisions/ by user query.
  2. 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
  1. Present results in table format.

Search Locations

LocationContents
.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

markdown
## 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:

markdown
**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 |

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

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Quality evaluation

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Source

Popularity

Repository stars
1,308
Repository forks
136
7-day trend score
36

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 11 Apr 2026, 6 months ago.

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