graph-visualizer

A small reporting tool that turns completed Graph workflow state into a summary of the execution steps. A Graph workflow is a run made up of connected tasks or agents.

In plain words
What is it for?
Use it after implementation work to verify and point to the generated graph files and summarize the completed, failed, and retried tasks.
Why use it?
It gives a compact record of what finished, failed, or had to be tried again without requiring a review of the whole project.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/gwaghmar/graph/graph-visualizer
Clone the repo
git clone --depth 1 https://github.com/gwaghmar/graph
Per session 26 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 137 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00026 $0.00137
Opus 5 $0.00013 $0.00068
Sonnet 5 $0.00005 $0.00027
Haiku 4.5 $0.00003 $0.00014

Measured yesterday against content hash 08bb40f4b316, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

graph-visualizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

templates/claude-code/agents/graph-visualizer.md · 8 lines

What it actually says

Read the run state from .graph/runs/<run-id>/state.json. Do not inspect the whole repository and do not edit product files. Verify that python3 .graph/graph.py render <run-id> has produced graph.mmd and graph.html. Return one sentence pointing to those artifacts plus a compact summary of completed, failed, and retried nodes. Use reported token usage when available. Clearly label estimates; never invent exact token counts.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 8 lines · 26 tokens per session scan A 08bb40f4b316

Subscribe to this mod's changes

graph-visualizer is an agent published in the GitHub repository gwaghmar/graph (10 stars, last pushed 23d ago), licensed MIT. It adds 26 tokens to every session and 137 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.