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Agent skill

Dag Map

by hoangsonww in hoangsonww/Claude-Code-Agent-Monitor

Render the multi-agent orchestration DAG for a session — parent→child subagent edges, tree depth, and fan-out — from the Agent Monitor workflow intelligence API.

MITAuto-check passedAgent Workflows

Install Dag Map

skills CLI
$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill dag-map -a claude-code

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

GitHub CLI
$ gh skill install hoangsonww/Claude-Code-Agent-Monitor dag-map --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/hoangsonww/Claude-Code-Agent-Monitor.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ccam-workflows/skills/dag-map .claude/skills/dag-map && 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/

Facts

Skill name
dag-map
GitHub stars
1.1k
Token cost
~564 tokens
SKILL.md length
243 words
Files
2
Skills in repo
78
Repo updated
First seen
Licence
MIT

At a glance

Render the multi-agent orchestration DAG for a session — parent→child subagent edges, tree depth, and fan-out — from the Agent Monitor workflow intelligence API.

  • Works in 4 steps: Topology Summary → Edge List → Depth & Fan-out Table → …
  • Visualizing how a sessions agent structure was organized
  • SKILL.md covers Input, Data Sources, Report Sections and Output
  • Calls npm

What it does

Dag Map is an agent skill from hoangsonww/Claude-Code-Agent-Monitor. Render the multi-agent orchestration DAG for a session — parent→child subagent edges, tree depth, and fan-out — from the Agent Monitor workflow intelligence API. Cross-checks the orchestration dataset against the raw agent records and session detail. Use when visualizing how a session's agent structure was organized.

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Agent Workflows, covering Multi-agent orchestration and Subagents. The repository describes itself as: 🚀 A real-time monitoring dashboard for Claude Code & Codex, built with SQLite3, Node.js, Express, React, Vite, TailwindCSS, & WebSockets. It tracks sessions, agent activity… The licence is MIT.

When your agent uses it

  • Visualizing how a sessions agent structure was organized
  • Tasks that involve Multi-agent orchestration
  • Tasks that involve Subagents

Example prompts

  • “/dag-map”

Workflow steps

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

  1. Topology Summary
  2. Edge List
  3. Depth & Fan-out Table
  4. ASCII Tree

What it can do on your machine

Read from SKILL.md and the folder at commit e0f4a1a. 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

    Shell commands in SKILL.md call:

    • npm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.

    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

Dag Map loads about 564 tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 243 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~564

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 hoangsonww/Claude-Code-Agent-Monitor at commit e0f4a1a, republished under its MIT licence (© hoangsonww). 243 words, ~564 tokens.

Download SKILL.mdSave it as .claude/skills/dag-map/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
dag-map
description
Render the multi-agent orchestration DAG for a session — parent→child subagent edges, tree depth, and fan-out — from the Agent Monitor workflow intelligence API. Cross-checks the orchestration dataset against the raw agent records and session detail. Use when visualizing how a session's agent structure was organized.

DAG Map

Render the subagent orchestration graph for one Claude Code session as a depth-ordered DAG.

Input

The user provides: $ARGUMENTS

A session ID. If empty, fetch GET /api/sessions?limit=1 and use the most recent session, stating which one you picked.

Data Sources

EndpointReturns
GET /api/workflows/{sessionId}The orchestration dataset: DAG nodes (agent id, type, model, status, depth) and parent→child edges
GET /api/agentsRaw subagent records (status, type, depth, parent) to cross-check node/edge counts
GET /api/sessions/{sessionId}Full session detail with nested agents[] to confirm the root and total agent count

Report Sections

1. Topology Summary

From orchestration: the root agent, total agent count, max depth, and max fan-out (most children under any one parent). Confirm the agent count against /api/agents filtered to this session.

2. Edge List

Every parent→child edge, grouped by depth, formatted as: depth d: parent[model] → child[type, status] Mark leaf agents (no children) and any orphan nodes (a parent that is not present in the node set).

3. Depth & Fan-out Table
DepthAgents at depthChildren spawnedAvg fan-out
4. ASCII Tree

A simple indented tree rendering of the DAG, e.g.:

root [opus, completed]
├─ explore [sonnet, completed]
└─ code-review [sonnet, error]
   └─ debugger [sonnet, completed]

Output

  • Render as Markdown tables plus one fenced ASCII tree block.
  • Cite real node and edge counts from the API — never invent agents or edges.
  • If a session has no subagents, say so plainly (single-agent session, depth 0) instead of fabricating a tree.
  • If the dashboard is unreachable, tell the user to start it with npm start from the repo root.

© hoangsonww, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in plugins/ccam-workflows/skills/dag-map of hoangsonww/Claude-Code-Agent-Monitor.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit e0f4a1a

Compare with similar skills

Dag Map 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.

Dag Map compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dag Map this skillhoangsonww/Claude-Code-Agent-Monitor1.1k—~564Automated safety check: PassMIT
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
O2 Review Loopopenobserve/openobserve22k—~3.7kAutomated safety check: PassAGPL-3.0
Kimi Code DelegationCherryHQ/cherry-studio52k1 repos~504Automated safety check: PassAGPL-3.0
Harness Agent Team Designerrevfactory/harness9.1k—~4.5kAutomated safety check: PassApache-2.0
ClawTeam Multi-Agent Swarmwin4r/ClawTeam-OpenClaw1.5k1 repos~2.9kAutomated safety check: PassMIT

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  • File Headers

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Categories

Questions about Dag Map

What does Dag Map do?

Render the multi-agent orchestration DAG for a session — parent→child subagent edges, tree depth, and fan-out — from the Agent Monitor workflow intelligence API. Dag Map is an agent skill from hoangsonww/Claude-Code-Agent-Monitor. Render the multi-agent orchestration DAG for a session — parent→child subagent edges, tree depth, and fan-out — from the Agent Monitor workflow intelligence API.

When should I use Dag Map?

Dag Map fits situations like: visualizing how a sessions agent structure was organized; tasks that involve Multi-agent orchestration; tasks that involve Subagents.

How do I install Dag Map in Claude Code?

Run `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill dag-map -a claude-code`. Or copy the skill folder (plugins/ccam-workflows/skills/dag-map in hoangsonww/Claude-Code-Agent-Monitor) into .claude/skills/dag-map in your project. Claude Code loads it when a task matches its description.

How do I install Dag Map in Codex?

Run `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill dag-map -a codex`. Or copy the skill folder (plugins/ccam-workflows/skills/dag-map in hoangsonww/Claude-Code-Agent-Monitor) into .agents/skills/dag-map in your project. Codex loads it when a task matches its description.

Can I use Dag Map 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 hoangsonww/Claude-Code-Agent-Monitor --skill dag-map -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dag-map, .gemini/skills/dag-map, .github/skills/dag-map and .opencode/skills/dag-map in your project.

What does Dag Map need to run?

Going by SKILL.md and its folder, Dag Map needs the command-line tools its instructions call (npm).

Does Dag Map access the network?

SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Dag Map 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 Dag Map use?

Dag Map 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 Dag Map use?

About 564 tokens (SKILL.md is roughly 2.3k 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 Dag Map?

Skills that share tags, products or a category with Dag Map: Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars), O2 Review Loop (openobserve/openobserve, 22k stars), Kimi Code Delegation (CherryHQ/cherry-studio, 52k stars) and Harness Agent Team Designer (revfactory/harness, 9.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dag Map?

hoangsonww (a GitHub user) maintains it in hoangsonww/Claude-Code-Agent-Monitor, which has 1,052 GitHub stars. The repository holds 78 skills in this directory. The repository was last updated on October 6, 2026.

Source: hoangsonww/Claude-Code-Agent-Monitor on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.