A diagram of a multi-agent session's delegation tree, showing which agents started other agents, how deep the tree became, and how widely work was split.

Visualizing parent-child agent relationships, checking delegation depth and fan-out, and finding orphaned agents.

It makes the structure of a complex agent run easier to inspect than a flat event log.

dag-map — Skill for Claude Code and Codex by hoangsonww

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.

Any agent

npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill dag-map

Clone the repo

git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor

Made for: Claude Code, Codex.

Or install ccam-workflows, the plugin that ships this one along with the rest of its 5 skills, 2 commands, 1 agent.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/hoangsonww/claude-code-agent-monitor/dag-map/github.svg)](https://agentmods.dev/skills/hoangsonww/claude-code-agent-monitor/dag-map)

Your own site

<a href="https://agentmods.dev/skills/hoangsonww/claude-code-agent-monitor/dag-map"><img src="https://agentmods.dev/badge/skills/hoangsonww/claude-code-agent-monitor/dag-map/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/hoangsonww/claude-code-agent-monitor/dag-map"><img src="https://agentmods.dev/badge/skills/hoangsonww/claude-code-agent-monitor/dag-map.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 561 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00065	$0.00561
Opus 5	$0.00032	$0.00280
Sonnet 5	$0.00013	$0.00112
Haiku 4.5	$0.00006	$0.00056

Measured 8d ago against content hash 9211952cdcb8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

dag-map 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 8d 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.

plugins/ccam-workflows/skills/dag-map/SKILL.md · 58 lines

What it actually says

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

Endpoint	Returns
`GET /api/workflows/{sessionId}`	The `orchestration` dataset: DAG nodes (agent id, type, model, status, depth) and parent→child edges
`GET /api/agents`	Raw 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

Depth	Agents at depth	Children spawned	Avg 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.

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

agents/openai.yaml 253 B

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.

8d ago First seen · 58 lines · 65 tokens per session scan A 9211952cdcb8

Subscribe to this mod's changes

dag-map is a skill published in the GitHub repository hoangsonww/Claude-Code-Agent-Monitor (989 stars, last pushed 3d ago), licensed MIT. It adds 65 tokens to every session and 561 once invoked, about $0.0003 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 2026-09-03.

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