data-flow

data-flow is a skill for Claude Code from athola/claude-night-market. It costs 27 tokens per session (745 once invoked), scanned A, original, MIT.

A code-analysis guide that creates Mermaid sequence diagrams showing how data moves between components. It can trace requests, API calls, and transformations from one part of a system to another.

In plain words
What is it for?
Use it to document request flows, API call chains, and data-processing pipelines.
Why use it?
It makes the path and transformation of data easier to understand than reading scattered code.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the cartograph plugin — 7 skills, 1 command shipped together

Good fit Use it to document request flows, API call chains, and data-processing pipelines.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/athola/claude-night-market/data-flow
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 athola/claude-night-market --skill data-flow
Clone the repo
git clone --depth 1 https://github.com/athola/claude-night-market

Made for: Claude Code.

Or install cartograph, the plugin that ships this one along with the rest of its 7 skills, 1 command.

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 data-flow

README.md
[![agentmods](https://agentmods.dev/badge/skills/athola/claude-night-market/data-flow/github.svg)](https://agentmods.dev/skills/athola/claude-night-market/data-flow)
Your own site
<a href="https://agentmods.dev/skills/athola/claude-night-market/data-flow"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/data-flow/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.

agentmods 80×15 button for data-flow

Your own site · 80×15
<a href="https://agentmods.dev/skills/athola/claude-night-market/data-flow"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/data-flow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 745 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.00745
Opus 5 $0.00014 $0.00373
Sonnet 5 $0.00005 $0.00149
Haiku 4.5 $0.00003 $0.00075

Measured 6d ago against content hash dea19a351678, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

data-flow 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.

plugins/cartograph/skills/data-flow/SKILL.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Data Flow Diagram

Generate a Mermaid sequence diagram showing how data moves between components in a codebase.

When To Use

  • Tracing how a request flows through the system
  • Understanding data transformation pipelines
  • Documenting API call chains
  • Answering "what happens when X is called?"

When NOT To Use

  • Static call structure (use cartograph:call-chain)
  • Process steps and state transitions (use cartograph:workflow-diagram)

Workflow

Step 1: Explore the Codebase

Dispatch the codebase explorer agent:

Agent(cartograph:codebase-explorer)
Prompt: Explore [scope] and return a structural model.
Focus on function calls, data transformations, and
inter-module communication for a data flow diagram.

Step 2: Generate Mermaid Syntax

Transform the structural model into a Mermaid sequence diagram.

Rules for data flow diagrams:

  • Use sequenceDiagram for request/response flows
  • Participants are modules or components (not functions)
  • Arrows show data direction: ->> for calls, -->> for returns
  • Use activate/deactivate for long-running operations
  • Add Note over for data transformations
  • Limit to 8-10 participants maximum
  • Use alt/else for conditional flows
  • Handle circular calls by showing them once with a note

Example output:

sequenceDiagram
    participant User
    participant Command as /commit
    participant Sanctum as sanctum.commit
    participant Leyline as leyline.git_platform
    participant Git

    User->>Command: /commit
    Command->>Sanctum: generate_message()
    Sanctum->>Leyline: get_staged_changes()
    Leyline->>Git: git diff --cached
    Git-->>Leyline: diff output
    Leyline-->>Sanctum: structured changes
    Note over Sanctum: Classify change type
    Sanctum-->>Command: commit message
    Command->>Git: git commit -m "..."

Step 3: Render via MCP

Call the Mermaid Chart MCP to render:

mcp__claude_ai_Mermaid_Chart__validate_and_render_mermaid_diagram
  prompt: "Data flow diagram of [scope/feature]"
  mermaidCode: [generated syntax]
  diagramType: "sequenceDiagram"
  clientName: "claude-code"

Read the full file on GitHub · 106 lines

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 · 106 lines · 27 tokens per session scan A dea19a351678

Subscribe to this mod's changes

data-flow is a skill published in the GitHub repository athola/claude-night-market (337 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 745 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 2026-09-03.

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