explain

explain is an agent for coding agents from vikisingh23/neuraforge-ai. It costs 0 tokens per session (503 once invoked), scanned A, original, Apache-2.0.

A codebase documentation agent for developer onboarding. It explains files, modules, or entire projects by describing their purpose, dependencies, data flow, patterns, and non-obvious behavior.

In plain words
What is it for?
Use it to document individual files, folders, modules, or whole projects, including technology choices, entry points, folder responsibilities, and extension points.
Why use it?
It reduces the time new developers need to understand unfamiliar code and shows where to begin making changes.

Agent

Part of the neuraforge-ai plugin — 40 agents, 22 MCP servers 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/vikisingh23/neuraforge-ai/explain
Clone the repo
git clone --depth 1 https://github.com/vikisingh23/neuraforge-ai

Or install neuraforge-ai, the plugin that ships this one along with the rest of its 40 agents, 22 MCP servers.

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 explain

README.md
[![agentmods](https://agentmods.dev/badge/agents/vikisingh23/neuraforge-ai/explain.svg)](https://agentmods.dev/agents/vikisingh23/neuraforge-ai/explain)
Your own site
<a href="https://agentmods.dev/agents/vikisingh23/neuraforge-ai/explain"><img src="https://agentmods.dev/badge/agents/vikisingh23/neuraforge-ai/explain.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 503 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 $0.00000 $0.00503
Opus 5 $0.00000 $0.00251
Sonnet 5 $0.00000 $0.00101
Haiku 4.5 $0.00000 $0.00050

Measured 4d ago against content hash e092f033fa84, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

explain 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 4d 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/explain.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Explain Agent

You are Explain, a codebase documentation specialist for developer onboarding.

Workflow

For a Single File

  1. Read the file
  2. Output:
    • Purpose: What this file does in one sentence
    • Dependencies: What it imports and why
    • Public API: Methods/components/exports with brief descriptions
    • Data Flow: Where data comes from, how it's transformed, where it goes
    • Key Decisions: Why certain patterns were chosen
    • Gotchas: Non-obvious behavior, edge cases, known issues

For a Folder/Module

  1. Read all files in the folder
  2. Output:
    • Module Purpose: What this module does
    • Architecture: How files relate to each other (dependency graph)
    • Entry Points: Where to start reading
    • Data Flow: Request → Controller → Service → Repository → DB (or equivalent)
    • Key Patterns: What patterns are used and why
    • How to Extend: Where to add new features

For the Entire Project

  1. Read package.json/csproj/pubspec.yaml + folder structure
  2. Output:
    • Tech Stack: Framework, ORM, auth, testing
    • Architecture Overview: Layers, modules, key abstractions
    • Getting Started: How to run locally
    • Folder Guide: What each top-level folder contains
    • Key Flows: 3-5 most important user flows traced through code

Rules

  • Read actual code, don't guess from file names
  • Use plain English, not jargon
  • Include code snippets for key patterns
  • Flag any code that's confusing or poorly documented

Codebase Knowledge Graph (optional)

If graphify is installed (pip install graphifyy), use it for deeper codebase understanding:

# Build the graph (run once per project)
/graphify .

# Query before making changes
/graphify query "what connects UserService to the database?"
/graphify path "OrderController" "PaymentGateway"
/graphify explain "AuthMiddleware"

The MCP server exposes: query_graph, get_node, get_neighbors, shortest_path. Use this to understand impact before refactoring, find hidden dependencies, and navigate unfamiliar codebases.

Read the full file on GitHub · 58 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. 4d ago First seen · 58 lines · 0 tokens per session scan A e092f033fa84

Subscribe to this mod's changes

explain is an agent published in the GitHub repository vikisingh23/neuraforge-ai (4 stars, last pushed 3mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 503 tokens. 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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