Search and aggregate FPF knowledge base hypotheses with assurance scores.
npx skills add https://github.com/luicabref97/sushi-jungle-web --skill fpf-query
Please help me install this Agent Skill. Skill: fpf:query Source: https://github.com/luicabref97/sushi-jungle-web/tree/main/.agents/skills/fpf-query Command: npx skills add https://github.com/luicabref97/sushi-jungle-web --skill fpf-query
Quickly locate and interpret hypotheses, decisions, and evidence within the FPF knowledge base without manually opening numerous files, saving time and reducing missed context when assessing design rationale and assurance.
Ask the skill to search for "caching" to list matching hypotheses, their layers, R_eff values, dependencies, and evidence summaries.
High-intent search queries and answers about installing and using this skill.
To search the FPF knowledge base, query across .fpf/knowledge, .fpf/decisions, and .fpf/evidence directories. The skill aggregates matching hypotheses, displays their layers, R_eff scores, dependency trees, and evidence summaries in a readable tabular format.
R_eff is an assurance score computed from audit sections within FPF knowledge files. It quantifies the reliability of a hypothesis, allowing engineers to evaluate design rationale and identify weakest links in dependency trees during analysis.
You query L0 to L2 knowledge layers by searching keywords like "caching" across the .fpf/knowledge directory. The skill parses these files, computes R_eff values, renders dependency trees, and presents matching hypotheses with their evidence summaries.
Yes, you can evaluate architectural decisions by searching the FPF knowledge base. The skill renders dependency trees and displays evidence summaries alongside R_eff breakdowns, helping you assess assurance and validate approaches like Redis versus CDN.
No, the FPF knowledge search tool has zero external dependencies. It directly parses files located in the .fpf/knowledge, .fpf/decisions, and .fpf/evidence directories to compute R_eff and render dependency trees without requiring additional packages.
The best way to locate a specific evidence summary is to search the .fpf/decisions and .fpf/evidence directories by keyword. The tool aggregates matching records, computes R_eff from audit sections, and displays results in a tabular format.
luicabref97Display FPF knowledge base status with hypothesis counts, evidence freshness, and decision records.
miptah21Trace downstream table and DAG dependencies to generate change impact reports.
luicabref97Reset FPF reasoning cycles by archiving sessions or deleting knowledge files.
skogaiTrace execution paths in code knowledge graphs to identify root causes.
