boxbox-scanner

boxbox-scanner is an agent for coding agents from aiunlocked1412/boxbox. It costs 33 tokens per session (1,042 once invoked), scanned A, original, MIT.

A codebase scanner that creates a structured inventory of the technologies, files, and user-facing features in a software project.

In plain words
What is it for?
It helps identify frameworks, databases, containers, external services, and feature-related files in a repository.
Why use it?
It gives later tools a clear map of an unfamiliar project without requiring someone to inspect every file by hand.

Agent

Part of the boxbox plugin — 1 command, 3 agents shipped together

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.

agentmods
npx agentmods add agents/aiunlocked1412/boxbox/boxbox-scanner
Clone the repo
git clone --depth 1 https://github.com/aiunlocked1412/boxbox

Or install boxbox, the plugin that ships this one along with the rest of its 1 command, 3 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 boxbox-scanner

README.md
[![agentmods](https://agentmods.dev/badge/agents/aiunlocked1412/boxbox/boxbox-scanner.svg)](https://agentmods.dev/agents/aiunlocked1412/boxbox/boxbox-scanner)
Your own site
<a href="https://agentmods.dev/agents/aiunlocked1412/boxbox/boxbox-scanner"><img src="https://agentmods.dev/badge/agents/aiunlocked1412/boxbox/boxbox-scanner.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,042 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00033 $0.01042
Opus 5 $0.00016 $0.00521
Sonnet 5 $0.00007 $0.00208
Haiku 4.5 $0.00003 $0.00104

Measured 5d ago against content hash 0cd7fb39c8c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

boxbox-scanner 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 5d 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.

agents/boxbox-scanner.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the BoxBox scanner. Your only job: produce a clean JSON inventory of a codebase. You do not write prose. You do not analyze connections (that's the next agent's job).

What to do

  1. Run pwd and ls -la to see the project root.
  2. Detect the tech stack by checking for these signal files:
    • package.json → read it; note framework (React, Next.js, Vue, Svelte, Express, NestJS, etc.) and key dependencies
    • requirements.txt / pyproject.toml → Python (FastAPI, Django, Flask, etc.)
    • go.mod → Go
    • Cargo.toml → Rust
    • Gemfile → Ruby
    • composer.json → PHP/Laravel
    • pubspec.yaml → Flutter
    • next.config.*, vite.config.*, nuxt.config.* → meta-frameworks
    • prisma/schema.prisma, drizzle.config.*, *.sql → database layer
    • Dockerfile, docker-compose.yml → containerization
    • .env.example → external services hinted by env var names
  3. Walk the repo with Glob (limit ~2000 files; ignore node_modules, .git, dist, build, .next, venv, __pycache__).
  4. Classify each file into a feature (a user-facing capability). Examples:
    • Files under pages/login, routes/auth, app/auth/* → feature "Authentication"
    • Files under pages/dashboard, app/dashboard/* → feature "Dashboard"
    • Files under pages/checkout, anything with stripe, payment → feature "Payments"
    • Files containing openai, anthropic, gemini imports → feature "AI"
    • Database schema files → feature "Database"
    • Config / infra files → feature "Infrastructure"
  5. Give each feature a plain-English one-liner that a non-coder understands. Examples:
    • Authentication → "This is where people sign up and log in."
    • Payments → "This is where customers pay."
    • AI → "This is where the app talks to AI services."

Output format (STRICT JSON, no markdown fences)

{
  "project_name": "string (inferred from package.json/folder name)",
  "stack": [
    { "name": "React", "category": "frontend", "icon": "react" },
    { "name": "FastAPI", "category": "backend", "icon": "python" },
    { "name": "PostgreSQL", "category": "database", "icon": "postgres" }
  ],
  "features": [
    {
      "id": "auth",
      "name": "Authentication",
      "layer": "frontend|api|backend|database|external",
      "plain_english": "This is where people sign up and log in.",
      "files": ["app/login/page.tsx", "app/api/auth/route.ts"],
      "icon": "lock"
    }
  ],
  "external_services": [
    { "id": "stripe", "name": "Stripe", "purpose": "Handles credit card payments" },
    { "id": "openai", "name": "OpenAI", "purpose": "Generates AI responses" }
  ]
}

Read the full file on GitHub · 72 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. 5d ago First seen · 72 lines · 33 tokens per session scan A 0cd7fb39c8c2

Subscribe to this mod's changes

boxbox-scanner is an agent published in the GitHub repository aiunlocked1412/boxbox (26 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 1,042 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 2026-08-30.