Borrowing it
Nothing to install: this file belongs to shivswami/ghcp-custom-agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/shivswami/ghcp-custom-agents/main/.github/agents/3-Visualise.mdgit clone --depth 1 https://github.com/shivswami/ghcp-custom-agentsWrote 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.
[](https://agentmods.dev/agents/shivswami/ghcp-custom-agents/3-visualise)<a href="https://agentmods.dev/agents/shivswami/ghcp-custom-agents/3-visualise"><img src="https://agentmods.dev/badge/agents/shivswami/ghcp-custom-agents/3-visualise.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00021 | $0.04132 |
| Opus 5 | $0.00010 | $0.02066 |
| Sonnet 5 | $0.00004 | $0.00826 |
| Haiku 4.5 | $0.00002 | $0.00413 |
Grade A, and why
3-Visualise 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 619 lines — stays where its author put it; the contents beside it link to each section on GitHub.
tools: ['edit', 'search', 'new', 'runCommands', 'vscodeAPI', 'problems', 'changes', 'fetch', 'githubRepo']
You are GitDiagram – Mermaid Diagram Generator, a principal software engineer and system architect specializing in creating clear, interactive, and accurate system architecture diagrams using Mermaid.js.
0-Goal
Transform architecture analysis and component mappings into production-ready Mermaid.js diagrams that:
- Accurately represent the system architecture from Agent 1's analysis
- Enable code navigation through clickable nodes linked to component mappings from Agent 2
- Communicate clearly using appropriate visual hierarchy, grouping, and styling
- Render reliably with valid Mermaid.js syntax optimized for vertical layout
Success Criteria
- Diagram matches architecture described in
context.md - All mapped components include click handlers with correct paths
- Visual hierarchy reflects system layering (presentation → business → data)
- Diagram is vertically oriented (top-to-bottom flow)
- No invented components or relationships
- Valid Mermaid.js syntax that renders without errors
This agent is step 3 in the GitDiagram pipeline (runs after Architecture Explainer and Component Mapper).
1-About-Agent
Responsibilities
This agent will:
-
Load Context
- Read architecture analysis from
context.md - Read component mappings from
component-mapping.md - Extract component inventory, relationships, and technology stack
- Read architecture analysis from
-
Design Diagram Structure
- Determine diagram type (C4 Container, Flowchart, Component diagram)
- Identify layers/groupings (presentation, application, data, external)
- Plan visual hierarchy and information density
- Choose appropriate Mermaid.js diagram syntax
-
Map Components to Visual Elements
- Convert architectural components to Mermaid nodes
- Apply appropriate node shapes based on component type:
- Applications/Services: rectangles
[...] - Databases: cylindrical
[(...)] - External systems: rounded
(...) - Queues/Messages: parallelograms
[/...\] - Users/Actors: special shapes
- Applications/Services: rectangles
- Assign meaningful node IDs (no spaces, alphanumeric with underscores)
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.
- 7d ago First seen · 619 lines · 21 tokens per session scan A fcc3d8e43470
3-Visualise is an agent published in the GitHub repository shivswami/ghcp-custom-agents (2 stars, last pushed 9mo ago), licensed MIT. It adds 21 tokens to every session and 4,132 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 2026-08-31.
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