Query Knowledge

Search the FPF knowledge base and display holon details with assurance information.

Action (Run-Time)

1. Search .quint/knowledge and .quint/decisions by user query.
2. For each found holon, display:
   • Basic info: title, layer (L0/L1/L2), kind, scope
   • If layer >= L1: call quint_calculate_r → show R_eff
   • If has dependencies: call quint_audit_tree → show dependency graph
   • Evidence summary if exists
3. Present results in table format.

Output Format

## Search Results for "<query>"

| Holon | Layer | Kind | R_eff |
|-------|-------|------|-------|
| redis-caching | L2 | system | 0.85 |
| cdn-edge | L2 | system | 0.72 |

### redis-caching
[redis-caching R:0.85] Use Redis for Caching
  --(CL:3)-->
    [perf-test R:0.90] Performance Test Evidence

R_eff Breakdown:
- Self Score: 1.00
- Weakest Link: perf-test (0.90)
- Final: 0.85

Tool Guide

quint_calculate_r

Computes R_eff with detailed breakdown.

• holon_id: The holon to calculate.
• Returns: R_eff score, self score, weakest link, decay penalties.

quint_audit_tree

Visualizes the assurance tree.

• holon_id: The root holon to audit.
• Returns: ASCII tree with R-scores, CL levels, and penalty warnings.

Examples

Search by keyword:

/q-query caching
→ Finds all holons matching "caching"
→ Shows R_eff for each L1+ holon

Query specific holon:

/q-query redis-caching
→ Shows full details for redis-caching
→ Displays dependency tree
→ Shows R_eff breakdown

Query decisions:

/q-query DRR
→ Lists all Design Rationale Records
→ Shows what each DRR selected/rejected