fpf:query

安装量: 113
排名: #7594

安装

npx skills add https://github.com/neolabhq/context-engineering-kit --skill 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 ""

Hypotheses Found | Hypothesis | Layer | Kind | R_eff | |


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| | 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
**
:
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Self Score: 1.00
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Weakest Link: ev-research-redis (0.90)
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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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