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.
Scanned 9/2/2026
Install to Claude Code
npx -y skills add majiayu000/claude-skill-registry --skill edge-verifier-grahama1970-agent-skills-3 --agent claude-codeInstalls into .claude/skills of the current project.
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---
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
```bash
# 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
```bash
.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.
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