How do I install the Query skill?

Run npx skillmds@latest add neolabhq/query in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Query skill do?

Search the FPF knowledge base and display hypothesis details with assurance information It is listed under Research & Search on SkillMD.

Is Query safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Query?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Query free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

neolabhq (@neolabhq) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Query by neolabhq — Agent Skill

Name: Query
Rating: 4.5 (4 reviews)
Author: neolabhq

File contents

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 |

---name: querydescription: Search the FPF knowledge base and display hypothesis details with assurance information--- # 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 3. **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**: ``` [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 | ```

Frequently asked questions

Query