Query

NeoLabHQ/context-engineering-kit/plugins/fpf/skills/query

作者 NeoLabHQ23e2428e809d77717f8acc9659c374a3a1fcb93e無授權條款收錄於 2026年10月9日更新於 2026年10月9日

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

僅含說明Research & Analysis

AI 產生的概覽

搜尋本機 FPF 知識庫，並顯示假設詳情、保證度評分與相依性樹狀圖。

功能: 依關鍵字、ID、層級或決策記錄，在 .fpf/knowledge/ 與 .fpf/decisions/ 目錄中搜尋相符的假設。針對每筆結果，以表格與 Markdown 形式呈現標題、層級、類型、範圍、R_eff 保證度評分、最弱環節、相依性圖與證據摘要。此技能僅包含指示，產出的是格式化報告而非檔案。
適用情境: 當需要查詢 FPF 知識庫中儲存的假設、設計理由記錄或證據時使用。適合依特定假設 ID、知識層級（例如 L2）或關鍵字進行檢索的情境。
執行需求: 需要存取本機 .fpf/ 知識庫目錄，其中包含知識、決策與證據檔案。不需要指令碼、套件或網路存取。

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

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**:

## 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)


**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:

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

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

By Layer

Filter by knowledge layer:

By Decision

Search decision records:

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

**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]

[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 |

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 CachingKind: systemScope: High-load systemsR_eff: 0.85Evidence: 2 files

User: /fpf:query redis-caching
# redis-caching (L2)
Title: Use Redis for CachingKind: systemScope: High-load systemsR_eff: 0.85Evidence: 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 |

User: /fpf:query DRR
# Design Rationale Records
| DRR | Date | Winner | Rejected ||-----|------|--------|----------|| DRR-2025-01-15-caching | 2025-01-15 | redis-caching | cdn-edge |

來源與署名

來源：NeoLabHQ/context-engineering-kit位於plugins/fpf/skills/query提交23e2428

授權條款：無授權條款

內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。

檢舉或申請下架

Query

Query Knowledge

Action (Run-Time)

Search Locations

Output Format

Search Methods

By Keyword

By Specific ID

By Layer

By Decision

R_eff Display

Dependency Tree Display

Examples

來源與署名

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