skill-009

skill-009 is a skill for Claude Code, Codex from legendtkl/agentic-skill-router. It costs 31 tokens per session (584 once invoked), scanned A, a copy of dialogue-graph, MIT.

A Python library for representing conversations as connected steps, including spoken lines and choices. It can build, check, display, and save branching dialogue structures.

In plain words
What is it for?
It is for turning scripts into structured data, building dialogue editors, running game conversations, and drawing conversation-flow diagrams.
Why use it?
It removes the need to design your own data format and validation rules for conversations. This helps prevent broken links or invalid paths in branching dialogue.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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 skills/legendtkl/agentic-skill-router/skill-009
Any agent
npx skills add legendtkl/agentic-skill-router --skill skill-009
Clone the repo
git clone --depth 1 https://github.com/legendtkl/agentic-skill-router

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for skill-009

README.md
[![agentmods](https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-009.svg)](https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-009)
Your own site
<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-009"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-009.svg" alt="Measured on agentmods" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 584 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 97% copy Near-identical to another mod 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 5.1 $0.00031 $0.00584
Opus 5 $0.00015 $0.00292
Sonnet 5 $0.00006 $0.00117
Haiku 4.5 $0.00003 $0.00058

Measured 6d ago against content hash b96a671cecec, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

skill-009 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 6d ago.

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.

Origin

This is a copy

97% identical to dialogue-graph — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

experiments/dci-compare/skillrouter-skills/skill-009/SKILL.md · 100 lines

What it actually says

Dialogue Graph Skill

This skill provides a dialogue_graph module to easily build valid dialogue trees/graphs.

When to use

  • Script Parsers: When converting text to data.
  • Dialogue Editors: When building tools to edit conversation flow.
  • Game Logic: When traversing a dialogue tree.
  • Visualization: When generating visual diagrams of dialogue flows.

How to use

Import the module:

from dialogue_graph import Graph, Node, Edge

1. The Graph Class

The main container.

graph = Graph()

2. Adding Nodes

Define content nodes.

# Regular line
graph.add_node(Node(id="Start", speaker="Guard", text="Halt!", type="line"))

# Choice hub
graph.add_node(Node(id="Choices", type="choice"))

3. Adding Edges

Connect nodes (transitions).

# Simple transition
graph.add_edge(Edge(source="Start", target="Choices"))

# Choice transition (with text)
graph.add_edge(Edge(source="Choices", target="End", text="1. Run away"))

4. Export

Serialize to JSON format for the engine.

data = graph.to_dict()
# returns {"nodes": [...], "edges": [...]}
json_str = graph.to_json()

5. Validation

Check for integrity.

errors = graph.validate()
# Returns list of strings, e.g., ["Edge 'Start'->'Unk' points to missing node 'Unk'"]

6. Visualization

Generate a PNG/SVG graph diagram.

# Requires: pip install graphviz
# Also requires Graphviz binary: https://graphviz.org/download/

graph.visualize('dialogue_graph')  # Creates dialogue_graph.png
graph.visualize('output', format='svg')  # Creates output.svg

The visualization includes:

  • Diamond shapes for choice nodes (light blue)
  • Rounded boxes for dialogue nodes (colored by speaker)
  • Bold blue edges for skill-check choices like [Lie], [Attack]
  • Gray edges for regular choices
  • Black edges for simple transitions

7. Loading from JSON

Load an existing dialogue graph.

# From file
graph = Graph.from_file('dialogue.json')

# From dict
graph = Graph.from_dict({'nodes': [...], 'edges': [...]})

# From JSON string
graph = Graph.from_json(json_string)
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. 6d ago First seen · 100 lines · 31 tokens per session scan A b96a671cecec

Subscribe to this mod's changes

skill-009 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 31 tokens to every session and 584 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to dialogue-graph, differing in 3 lines, and is treated as a copy.

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