graph-verifier

name	graph-verifier
description	Use when the user wants a quick sanity check for a finite graph claim, construction, or encoding using the lightweight OpenClaw verifier.
metadata	{"short-description":"Lightweight graph claim verification"}

Graph Verifier

Windows Runtime Commands

On native Windows, use the managed Windows runner and the native runtime command target. Set $runtime to the installed runtime root. Multi-agent installs usually use %LOCALAPPDATA%\ai-agents-skills\runtime. Then run:

$runtime = if ($env:AAS_RUNTIME_ROOT) { $env:AAS_RUNTIME_ROOT } else { "$env:LOCALAPPDATA\ai-agents-skills\runtime" }
& "$runtime\run_skill.ps1" "skills/graph-verifier/graph_verifier.py" <args>

POSIX examples below use run_skill.sh and .sh command targets; use the Windows command target above on native Windows.

This uses the managed ai-agents-skills runtime copy of the graph verifier workflow.

When to use

• sanity-check a small graph claim
• inspect a finite construction
• validate an edge list, adjacency map, or graph encoding
• check simple properties such as connectivity or bipartiteness

For heavier graph-theoretic or algebraic computations, route to sagemath instead.

Base path

• $AAS_RUNTIME_ROOT/workspace/skills/graph-verifier/

Use the managed runtime runner rather than invoking run_graph_verifier.sh directly. Set AAS_RUNTIME_ROOT to the installed runtime root before using the shared runner directly.

Shared runner:

• runtime_root="${AAS_RUNTIME_ROOT:?Set AAS_RUNTIME_ROOT to the installed runtime root}"; bash "$runtime_root/run_skill.sh"

Workflow

1. Save JSON input to /tmp/graph_input.json.
2. Run the verifier.
3. Read the JSON result from stdout.

Supported shapes include graph_data, edges, adjacency, and optional expected values.

Core command

runtime_root="${AAS_RUNTIME_ROOT:?Set AAS_RUNTIME_ROOT to the installed runtime root}"
bash "$runtime_root/run_skill.sh" skills/graph-verifier/run_graph_verifier.sh --input /tmp/graph_input.json

Recommended templates

When this skill is involved, consider this workflow template (install via the workflow-templates artifact profile, or --with-deps to pull backing skills):

• tikz-figure-verification-runbook -- Bounded draw-compile-verify-redraw loop for a TikZ figure that guarantees it is free of overlap, wrong meaning, and bad layout, with Sage-assisted graph realization and fresh-agent visual confirmation before the strict approval gate.