FPF知识库查询工具：搜索技术假设、设计决策与置信度分析

fpf%3Aquery by neolabhq/context-engineering-kit

219 周安装量

750 GitHub Stars

GitHub

安装命令

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

软件工程项目管理知识管理

🇨🇳中文介绍

查询知识库

搜索 FPF 知识库并显示包含置信度信息的假设详情。

操作（运行时）

搜索：根据用户查询搜索 .fpf/knowledge/ 和 .fpf/decisions/。
对于每个找到的假设，显示：
- 基本信息：标题、层级（L0/L1/L2）、类型、范围
- 如果层级 >= L1：读取审计部分以获取 R_eff
- 如果存在依赖项：显示依赖关系图
- 如果存在证据摘要：显示证据摘要
呈现结果：以表格格式呈现。

搜索位置

位置	内容
`.fpf/knowledge/L0/`	提出的假设
`.fpf/knowledge/L1/`	已验证的假设

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## 搜索"<query>"的结果

### 找到的假设

| 假设 | 层级 | 类型 | R_eff |
|------------|-------|------|-------|
| redis-caching | L2 | system | 0.85 |
| cdn-edge | L2 | system | 0.72 |

### redis-caching (L2)

**标题**: Use Redis for Caching
**类型**: system
**范围**: High-load systems, Linux only

**R_eff**: 0.85
**最薄弱环节**: internal test (0.85)

**依赖项**:

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

**证据**:
- ev-benchmark-redis-caching-2025-01-15 (internal, PASS)

### cdn-edge (L2)

**标题**: Use CDN Edge Cache
**类型**: system
**范围**: Static content delivery

**R_eff**: 0.72
**最薄弱环节**: external docs (CL1 penalty)

**证据**:
- ev-research-cdn-2025-01-10 (external, PASS)

搜索文件内容以匹配文本：

/fpf:query caching
-> 查找标题或内容中包含"caching"的所有假设

查找特定假设：

/fpf:query redis-caching
-> 显示 redis-caching 的完整详情
-> 显示依赖关系树
-> 显示 R_eff 细分

按知识层级筛选：

/fpf:query L2
-> 列出所有带有 R_eff 分数的 L2 假设

搜索决策记录：

/fpf:query DRR
-> 列出所有设计原理记录
-> 显示每条 DRR 选择/拒绝了什么

对于 L1+ 的假设，读取审计部分并显示：

**R_eff 细分**:
- 自身分数: 1.00
- 最薄弱环节: ev-research-redis (0.90)
- 依赖项惩罚: none
- **最终 R_eff**: 0.85

依赖关系树显示

如果假设有 depends_on，则显示树状图：

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

R:X.XX = R_eff 分数
CL:N = 一致性等级 (1-3)

按关键词搜索：

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 |

查询特定假设：

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

查询决策记录：

User: /fpf:query DRR

# Design Rationale Records

| DRR | Date | Winner | Rejected |
|-----|------|--------|----------|
| DRR-2025-01-15-caching | 2025-01-15 | redis-caching | cdn-edge |

🇺🇸English

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 |

Weekly Installs

152

Repository

neolabhq/contex…ring-kit

GitHub Stars

699

First Seen

Feb 19, 2026

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