edge-verifier

name	edge-verifier
description	Verifies relationships between a source text (e.g. Episode, Task) and existing Knowledge Graph lessons. Runs KNN/Hybrid search to find candidates, then uses LLM (scillm) to verify "verifies", "contradicts", or "related" stances with strict rationales.
allowed-tools	Bash
triggers	["verify edges","link content","generate relationships","schedule verification"]
metadata	{"short-description":"KNN + LLM verification for KG edges"}
provides	["edge-verification"]
composes	["scillm","task-monitor"]
taxonomy	["validation","knowledge","precision"]

Edge Verifier

This skill links new content to the existing Knowledge Graph by:

1. Recall: Running a KNN/Hybrid search (graph_memory.search) to find potential related lessons.
2. Verify: Using scillm (LLM) to audit the relationship, classifying it as verifies, contradicts, or neutral.
3. Link: Creating verified lesson_edges in ArangoDB.

Usage

Manual Execution

# Verify edges for a specific source text
.pi/skills/edge-verifier/run.sh --source_id <ID> --text "Content to verify..."

# With explicit options
.pi/skills/edge-verifier/run.sh --source_id <ID> --text "..." --type "episode_turn"

Scheduling (Scheduler Integration)

This skill is designed to be scheduled via the /scheduler skill for continuous verification of new memory artifacts.

Register with Scheduler

.pi/skills/scheduler/run.sh register \
  --name "edge-verify-nightly" \
  --cron "0 2 * * *" \
  --command ".pi/skills/edge-verifier/run.sh --batch" \
  --description "Nightly edge verification"

Jobs and logs are stored under ~/.pi/scheduler/. See .pi/skills/scheduler/SKILL.md for full options.

Prerequisites

• .env must expose ArangoDB credentials.
• CHUTES_API_KEY for LLM calls.