Query

NeoLabHQ/context-engineering-kit/antigravity/skills/query

作者 NeoLabHQ23e2428e809d77717f8acc9659c374a3a1fcb93e无许可证收录于 2026年10月9日更新于 2026年10月9日

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

仅含说明Research & Analysis

AI 生成的概览

搜索本地 FPF 知识库，并显示假设详情、保证度评分与依赖树。

功能: 按关键词、ID、层级或决策记录，在 .fpf/knowledge/ 与 .fpf/decisions/ 目录中搜索匹配的假设。对每条结果以表格和 Markdown 形式呈现标题、层级、类型、范围、R_eff 保证度评分、最弱环节、依赖图与证据摘要。该技能仅包含指令，输出的是格式化报告而非文件。
适用场景: 当需要查询 FPF 知识库中存储的假设、设计理由记录或证据时使用。适用于按特定假设 ID、知识层级（如 L2）或关键词进行检索的场景。
运行要求: 需要访问本地 .fpf/ 知识库目录，其中包含知识、决策与证据文件。无需脚本、软件包或网络访问。

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 |

来源与署名

来源：NeoLabHQ/context-engineering-kit位于antigravity/skills/query提交23e2428

许可证：无许可证

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

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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

来源与署名

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