Agent skill

Dialogue Graph

by Raidriar7170 in Raidriar7170/hermes-skilleval

A library for building, validating, visualizing, and serializing dialogue graphs.

Install Dialogue Graph

skills CLI

$ npx skills add Raidriar7170/hermes-skilleval --skill dialogue-graph -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install Raidriar7170/hermes-skilleval dialogue-graph --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/Raidriar7170/hermes-skilleval.git skills-src && mkdir -p .claude/skills && cp -r skills-src/artifacts/v0.3/skillsbench-pilot/v0.3-stage2-input-package-candidate-20260701T010000Z/candidate-data/skill-sources/skillsbench__dialogue-graph .claude/skills/dialogue-graph && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "dialogue-graph" agent skill from https://github.com/Raidriar7170/hermes-skilleval/tree/main/artifacts/v0.3/skillsbench-pilot/v0.3-stage2-input-package-candidate-20260701T010000Z/candidate-data/skill-sources/skillsbench__dialogue-graph into .claude/skills/dialogue-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dialogue-graph", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/Raidriar7170/hermes-skilleval/tree/main/artifacts/v0.3/skillsbench-pilot/v0.3-stage2-input-package-candidate-20260701T010000Z/candidate-data/skill-sources/skillsbench__dialogue-graph

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add Raidriar7170/hermes-skilleval --skill dialogue-graph -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Raidriar7170/hermes-skilleval dialogue-graph --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Raidriar7170/hermes-skilleval.git skills-src && mkdir -p .agents/skills && cp -r skills-src/artifacts/v0.3/skillsbench-pilot/v0.3-stage2-input-package-candidate-20260701T010000Z/candidate-data/skill-sources/skillsbench__dialogue-graph .agents/skills/dialogue-graph && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "dialogue-graph" agent skill from https://github.com/Raidriar7170/hermes-skilleval/tree/main/artifacts/v0.3/skillsbench-pilot/v0.3-stage2-input-package-candidate-20260701T010000Z/candidate-data/skill-sources/skillsbench__dialogue-graph into .agents/skills/dialogue-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dialogue-graph", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Raidriar7170/hermes-skilleval --skill dialogue-graph -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Raidriar7170/hermes-skilleval dialogue-graph --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Raidriar7170/hermes-skilleval.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/artifacts/v0.3/skillsbench-pilot/v0.3-stage2-input-package-candidate-20260701T010000Z/candidate-data/skill-sources/skillsbench__dialogue-graph .cursor/skills/dialogue-graph && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "dialogue-graph" agent skill from https://github.com/Raidriar7170/hermes-skilleval/tree/main/artifacts/v0.3/skillsbench-pilot/v0.3-stage2-input-package-candidate-20260701T010000Z/candidate-data/skill-sources/skillsbench__dialogue-graph into .cursor/skills/dialogue-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dialogue-graph", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/Raidriar7170/hermes-skilleval.git --path artifacts/v0.3/skillsbench-pilot/v0.3-stage2-input-package-candidate-20260701T010000Z/candidate-data/skill-sources/skillsbench__dialogue-graph

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Raidriar7170/hermes-skilleval --skill dialogue-graph -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Raidriar7170/hermes-skilleval dialogue-graph --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Raidriar7170/hermes-skilleval.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/artifacts/v0.3/skillsbench-pilot/v0.3-stage2-input-package-candidate-20260701T010000Z/candidate-data/skill-sources/skillsbench__dialogue-graph .gemini/skills/dialogue-graph && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "dialogue-graph" agent skill from https://github.com/Raidriar7170/hermes-skilleval/tree/main/artifacts/v0.3/skillsbench-pilot/v0.3-stage2-input-package-candidate-20260701T010000Z/candidate-data/skill-sources/skillsbench__dialogue-graph into .gemini/skills/dialogue-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dialogue-graph", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install Raidriar7170/hermes-skilleval dialogue-graph

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add Raidriar7170/hermes-skilleval --skill dialogue-graph -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Raidriar7170/hermes-skilleval.git skills-src && mkdir -p .github/skills && cp -r skills-src/artifacts/v0.3/skillsbench-pilot/v0.3-stage2-input-package-candidate-20260701T010000Z/candidate-data/skill-sources/skillsbench__dialogue-graph .github/skills/dialogue-graph && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "dialogue-graph" agent skill from https://github.com/Raidriar7170/hermes-skilleval/tree/main/artifacts/v0.3/skillsbench-pilot/v0.3-stage2-input-package-candidate-20260701T010000Z/candidate-data/skill-sources/skillsbench__dialogue-graph into .github/skills/dialogue-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dialogue-graph", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Raidriar7170/hermes-skilleval --skill dialogue-graph -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Raidriar7170/hermes-skilleval dialogue-graph --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Raidriar7170/hermes-skilleval.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/artifacts/v0.3/skillsbench-pilot/v0.3-stage2-input-package-candidate-20260701T010000Z/candidate-data/skill-sources/skillsbench__dialogue-graph .opencode/skills/dialogue-graph && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "dialogue-graph" agent skill from https://github.com/Raidriar7170/hermes-skilleval/tree/main/artifacts/v0.3/skillsbench-pilot/v0.3-stage2-input-package-candidate-20260701T010000Z/candidate-data/skill-sources/skillsbench__dialogue-graph into .opencode/skills/dialogue-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dialogue-graph", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: dialogue-graph
GitHub stars: 125
Used in: 1 other repo
Token cost: ~597 tokens
SKILL.md length: 141 words
Files: 1
Skills in repo: 8
Repo updated: Sep 26, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A library for building, validating, visualizing, and serializing dialogue graphs.

Works in 7 steps: The Graph Class → Adding Nodes → Adding Edges → …
Data & Analytics work in your project
SKILL.md covers When to use and How to use
Reaches graphviz.org

What it does

Dialogue Graph is an agent skill from Raidriar7170/hermes-skilleval. A library for building, validating, visualizing, and serializing dialogue graphs. Use this when parsing scripts or creating branching narrative structures.

Its SKILL.md is about 600 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Data & Analytics. The repository describes itself as: Verification-gated skill routing and self-improvement harness for Hermes-style agent skills. The licence is MIT.

When your agent uses it

Data & Analytics work in your project

Example prompts

“/dialogue-graph”

Requirements

Python 3

Workflow steps

7 steps, taken from the step headings in SKILL.md.

The Graph Class
Adding Nodes
Adding Edges
Export
Validation
Visualization
Loading from JSON

What it can do on your machine

Read from SKILL.md and the folder at commit 8f6a21e. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- graphviz.org
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dialogue Graph loads about 597 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 141 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~43
When it runs · the whole SKILL.md, loaded when a task matches: ~597

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Raidriar7170/hermes-skilleval at commit 8f6a21e, republished under its MIT licence (© Raidriar7170). 141 words, ~597 tokens.

Download SKILL.mdSave it as .claude/skills/dialogue-graph/SKILL.md (or your agent's skills folder).

name: dialogue-graph
description: A library for building, validating, visualizing, and serializing dialogue graphs. Use this when parsing scripts or creating branching narrative structures.

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:

python

from dialogue_graph import Graph, Node, Edge

1. The `Graph` Class

The main container.

python

graph = Graph()

2. Adding Nodes

Define content nodes.

python

# 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).

python

# 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.

python

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

5. Validation

Check for integrity.

python

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.

python

# 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.

python

# 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)

Files

Just SKILL.md in artifacts/v0.3/skillsbench-pilot/v0.3-stage2-input-package-candidate-20260701T010000Z/candidate-data/skill-sources/skillsbench__dialogue-graph of Raidriar7170/hermes-skilleval.

Open the folder on GitHubat commit 8f6a21e

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in Raidriar7170/hermes-skilleval, which our catalogue first saw on October 7, 2026.

benchflow-ai/skillsbenchtasks/dialogue-parser/environment/skills/dialogue-graph

Compare with similar skills

Dialogue Graph next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Dialogue Graph compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
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Scikit LearnzLanqing/codex-claude-academic-skills	4.6k	17 repos	~3.9k	Automated safety check: Pass	BSD-3-Clause	4 mo ago
Chart Visualizationbytedance/deer-flow	83k	2 repos	~840	Automated safety check: Pass	MIT	today
TimesFM Forecastinggoogle-research/timesfm	34k	—	~4.7k	Automated safety check: Pass	Apache-2.0	8 days ago

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Questions about Dialogue Graph

What does Dialogue Graph do?

A library for building, validating, visualizing, and serializing dialogue graphs. Dialogue Graph is an agent skill from Raidriar7170/hermes-skilleval. A library for building, validating, visualizing, and serializing dialogue graphs.

When should I use Dialogue Graph?

Dialogue Graph fits situations like: data & Analytics work in your project.

How do I install Dialogue Graph in Claude Code?

Run `npx skills add Raidriar7170/hermes-skilleval --skill dialogue-graph -a claude-code`. Or copy the skill folder (artifacts/v0.3/skillsbench-pilot/v0.3-stage2-input-package-candidate-20260701T010000Z/candidate-data/skill-sources/skillsbench__dialogue-graph in Raidriar7170/hermes-skilleval) into .claude/skills/dialogue-graph in your project. Claude Code loads it when a task matches its description.

How do I install Dialogue Graph in Codex?

Run `npx skills add Raidriar7170/hermes-skilleval --skill dialogue-graph -a codex`. Or copy the skill folder (artifacts/v0.3/skillsbench-pilot/v0.3-stage2-input-package-candidate-20260701T010000Z/candidate-data/skill-sources/skillsbench__dialogue-graph in Raidriar7170/hermes-skilleval) into .agents/skills/dialogue-graph in your project. Codex loads it when a task matches its description.

Can I use Dialogue Graph in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Raidriar7170/hermes-skilleval --skill dialogue-graph -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dialogue-graph, .gemini/skills/dialogue-graph, .github/skills/dialogue-graph and .opencode/skills/dialogue-graph in your project.

What does Dialogue Graph need to run?

SKILL.md names no scripts, command-line tools or credentials: Dialogue Graph is instructions for the agent only. Our summary lists: Python 3.

Does Dialogue Graph access the network?

SKILL.md names 1 domain. In commands or code: graphviz.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Dialogue Graph safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Dialogue Graph use?

Dialogue Graph is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dialogue Graph use?

About 597 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Dialogue Graph?

Skills that share tags, products or a category with Dialogue Graph: Exploratory Data Analysis (spacering-net/codeg, 3.8k stars), Matplotlib (zLanqing/codex-claude-academic-skills, 4.6k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.6k stars) and Chart Visualization (bytedance/deer-flow, 83k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dialogue Graph?

Raidriar7170 (a GitHub user) maintains it in Raidriar7170/hermes-skilleval, which has 125 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 26, 2026.

Source: Raidriar7170/hermes-skilleval on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Dialogue Graph

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Dialogue Graph Skill

When to use

How to use

1. The Graph Class

2. Adding Nodes

3. Adding Edges

4. Export

5. Validation

6. Visualization

7. Loading from JSON

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from Raidriar7170/hermes-skilleval

Related

Questions about Dialogue Graph

1. The `Graph` Class