arn-code-codebase-analyzer

arn-code-codebase-analyzer is an agent for Claude Code from AppsVortex/arness. It costs 166 tokens per session (5,001 once invoked), scanned A, original, MIT.

A read-only coding agent that examines a project and documents its real code patterns and conventions. It detects the project’s technology stack and supports findings with file paths and code examples.

In plain words
What is it for?
Use it to explore project structure, identify backend, frontend, full-stack, command-line, desktop, or mobile patterns, and prepare codebase context for implementation planning.
Why use it?
It reduces the need to infer project conventions from scattered files before planning or changing code. Its findings are based on the actual repository.

Agent for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: model in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the arn-code plugin — 37 skills, 18 agents shipped together

Good fit Use it to explore project structure, identify backend, frontend, full-stack, command-line, desktop, or mobile patterns, and prepare codebase context for implementation planning.

Compare 6 agents from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add AppsVortex/arness
Claude Code
/plugin install arn-code

Made for: Claude Code.

Or install arn-code, the plugin that ships this one along with the rest of its 37 skills, 18 agents.

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 arn-code-codebase-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/agents/appsvortex/arness/arn-code-codebase-analyzer/github.svg)](https://agentmods.dev/agents/appsvortex/arness/arn-code-codebase-analyzer)
Your own site
<a href="https://agentmods.dev/agents/appsvortex/arness/arn-code-codebase-analyzer"><img src="https://agentmods.dev/badge/agents/appsvortex/arness/arn-code-codebase-analyzer/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 arn-code-codebase-analyzer

Your own site · 80×15
<a href="https://agentmods.dev/agents/appsvortex/arness/arn-code-codebase-analyzer"><img src="https://agentmods.dev/badge/agents/appsvortex/arness/arn-code-codebase-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 166 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,001 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.
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 $0.00166 $0.05001
Opus 5.5 $0.00066 $0.02000
Sonnet 5.5 $0.00033 $0.01000
Haiku 4.5 $0.00017 $0.00500

Measured 1mo ago against content hash b15d39093d8e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

arn-code-codebase-analyzer 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 1mo 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/arn-code/agents/arn-code-codebase-analyzer.md · 309 lines

How it starts

The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Arness Codebase Analyzer

You are a lightweight, read-only agent that analyzes any codebase to extract patterns and conventions. Your job is to produce a structured report of real patterns found in the project, backed by actual file paths and code snippets.

Input

The caller provides context as part of the conversation:

  • Project type: backend, frontend, fullstack, cli, tui, desktop, or mobile
  • Source root path: the directory to analyze
  • Framework hint (optional): e.g., "Django", "Next.js", "FastAPI", "Textual", "Rich"

If any of these are missing, infer what you can and proceed.

Core Process

0. Load the output schema

Before starting analysis, read the pattern documentation schema:

Read ${CLAUDE_PLUGIN_ROOT}/skills/arn-code-init/references/pattern-schema.md

This schema defines the exact structure your output must follow. Keep it in mind throughout your analysis — every pattern you find must be formatted according to the per-pattern structure defined there.

1. Auto-detect the project stack

If no framework hint is given (or to confirm a hint), detect the stack from manifest and marker files. Search the source root for:

  • Package files: package.json, pyproject.toml, Cargo.toml, go.mod, pom.xml, build.gradle, Gemfile, composer.json
  • Framework markers: manage.py (Django), next.config.* (Next.js), angular.json, vite.config.*, nuxt.config.*, settings.py, app.py, main.go, Makefile, CMakeLists.txt

From these, determine and report:

  • Language (and version if discoverable)
  • Framework
  • Package manager
  • Project layout (src layout, flat, monorepo, etc.)

2. Analyze code patterns

For each of the following categories, find 2-3 real, representative examples. Include actual file paths and code snippets.

  • Project structure: directory organization, module boundaries, how the codebase is divided into logical areas
  • Naming conventions: file naming, class naming, function naming, variable naming styles (camelCase, snake_case, PascalCase, etc.)
  • API/routing patterns: how endpoints or routes are defined, middleware usage, request/response handling
  • Data layer: database access, ORM models, schemas, migrations, state management, data validation
  • Error handling: how errors are caught, reported, and propagated; custom exception classes, error boundaries, result types
  • Configuration: how config values and environment variables are loaded and accessed; settings modules, .env files, config objects

Read the full file on GitHub · 309 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. 1mo ago First seen · 309 lines · 166 tokens per session scan A b15d39093d8e

Subscribe to this mod's changes

arn-code-codebase-analyzer is an agent published in the GitHub repository AppsVortex/arness (33 stars, last pushed 2mo ago), licensed MIT. It adds 166 tokens to every session and 5,001 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-08-30.

Related

Other agents, from other repositories

terraform-engineer

Infrastructure as Code specialist focused on Terraform development, module creation, state management, and multi-cloud provisioning. Expert in writing maintainable, reusable, and secure Terraform configurations for AWS and GCP.

andisab/swe-marketplace · 42 tokens

adapto-researcher

Content research specialist. Given ONE research angle (a competitor, a query cluster, a site crawl, a PAA/related-questions sweep), gathers from the web and returns structured, cited findings. Used by project-define discovery and content-research; runs many in parallel. Never writes content.

adaptocms/adapto-cms-agent-skills · 67 tokens

adapto-writer

On-brand long-form content writer. Executes ONE content brief into a complete Markdown draft with full frontmatter (SEO/OG/JSON-LD/internal links), matching the project's voice exactly. Used by content-create (dispatched at Opus for cornerstone briefs). Reads the brain + SEO standards; never touches the read-client.

adaptocms/adapto-cms-agent-skills · 70 tokens

adapto-editor

Content critic. Reviews ONE draft against its brief + the project brain and returns a concrete gap checklist (voice fit, SEO/AEO/GEO completeness, internal-link coverage, structural sanity, slop check). Used by content-create (verify pass) and content-plan. Does not rewrite — it critiques.

adaptocms/adapto-cms-agent-skills · 65 tokens

demand-generation

Demand Generation (CMO). Owns plugins/demand-generation/ and nothing else. Delegate work in this department's remit here.

cbrock84/headcount · 30 tokens

canvas-create-screens

Groups approved functional intent into task-oriented screens, in-screen states and navigation without choosing Canvas controls.

microsoft/power-platform-skills · 24 tokens