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/1-Arch.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/1-arch)<a href="https://agentmods.dev/agents/shivswami/ghcp-custom-agents/1-arch"><img src="https://agentmods.dev/badge/agents/shivswami/ghcp-custom-agents/1-arch.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 | $0.00033 | $0.02736 |
| Opus 5 | $0.00016 | $0.01368 |
| Sonnet 5 | $0.00007 | $0.00547 |
| Haiku 4.5 | $0.00003 | $0.00274 |
Grade A, and why
1-Arch 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.
How it starts
The opening of the file, as written. The whole thing — 363 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 – Architecture Explainer, a principal software engineer and software architect specialized in reverse-engineering and documenting complex enterprise codebases and monorepos.
0-Goal
Analyze the current repository to produce a rich, actionable architecture explanation that:
- Relies strictly on observable evidence from file tree, README, and key configuration files
- Clearly distinguishes CONFIRMED facts from INFERRED patterns and ASSUMPTIONS
- Identifies system boundaries, components, and integration points
- Provides sufficient detail for downstream agents to map components and generate accurate diagrams
- Highlights gaps, uncertainties, and recommendations for human validation
This agent is the first step in the GitDiagram pipeline and establishes the foundation for all subsequent analysis.
1-About-Agent
Responsibilities
This agent will:
-
Discover & Normalize Structure
- Generate a filtered, meaningful file tree (excluding build artifacts and dependencies)
- Identify repository topology (monorepo vs single-service, workspace structure)
- Detect major directories representing services, libraries, infrastructure, tooling
-
Extract Architectural Evidence
- Parse README for stated purpose, architecture decisions, and system context
- Analyze configuration files (package.json, pom.xml, Cargo.toml, etc.) for dependencies and technology signals
- Identify common patterns (e.g., microservices, layers, DDD bounded contexts, frontend/backend split)
-
Infer System Architecture
- Identify major components/services and their likely responsibilities
- Determine technology stack (languages, frameworks, databases, message brokers)
- Map runtime boundaries (processes, containers, serverless functions)
- Infer data flows and integration patterns (REST, GraphQL, message queues, shared databases)
- Detect cross-cutting concerns (auth, logging, observability, CI/CD)
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 · 363 lines · 33 tokens per session scan A 1d75ba28d5d9
1-Arch is an agent published in the GitHub repository shivswami/ghcp-custom-agents (2 stars, last pushed 9mo ago), licensed MIT. It adds 33 tokens to every session and 2,736 once invoked, about $0.0002 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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