explore

explore is a command for coding agents from ramdhavepreetam/NervaPack. It costs 0 tokens per session (760 once invoked), scanned A, original, MIT.

A focused relationship explorer for a file, class, or function. It creates an HTML diagram of nearby graph nodes, where the hop count controls how many relationship steps are included.

In plain words
What is it for?
Use it to inspect a module’s connections, trace nearby dependencies, search the resulting diagram, or find paths between related nodes.
Why use it?
It helps you understand one part of a codebase without the clutter of the full graph.

Command

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 commands/ramdhavepreetam/nervapack/explore
Clone the repo
git clone --depth 1 https://github.com/ramdhavepreetam/NervaPack

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 explore

README.md
[![agentmods](https://agentmods.dev/badge/commands/ramdhavepreetam/nervapack/explore.svg)](https://agentmods.dev/commands/ramdhavepreetam/nervapack/explore)
Your own site
<a href="https://agentmods.dev/commands/ramdhavepreetam/nervapack/explore"><img src="https://agentmods.dev/badge/commands/ramdhavepreetam/nervapack/explore.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 760 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 $0.00760
Opus 5 $0.00000 $0.00380
Sonnet 5 $0.00000 $0.00152
Haiku 4.5 $0.00000 $0.00076

Measured 3d ago against content hash 3a398da65d00, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

explore 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 3d 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.

docs/user-guide/commands/explore.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

nervapack explore

Extract and visualize the N-hop neighbourhood of a specific file, class, or function.


Synopsis

nervapack explore TARGET [OPTIONS]

Description

explore is visualize scoped to a single entity. You give it a file path, class name, or function name and it:

  1. Finds all graph nodes that match the target string (by file path, node name, or node ID).
  2. Runs a multi-source BFS to N hops from those seed nodes.
  3. Generates an enhanced HTML visualization of just that subgraph — with search and path finder enabled.

Use explore when you want to understand one module's relationships without the noise of the full graph.


Arguments and Options

Argument / Option Default Description
TARGET (required) File path, class name, function name, or partial string to match
--hops N / -h N 2 Number of BFS hops from the matched nodes
--output PATH .nervapack/explore_{target}.html Where to save the HTML file
--no-browser off Generate without opening the browser

Examples

Explore a class by name

nervapack explore GraphBuilder --hops 2

Explore a file

nervapack explore src/graph/builder.py --hops 1

Partial name match (all nodes containing "store")

nervapack explore store --hops 1

Save to a custom path

nervapack explore AuthMiddleware --output ~/graphs/auth.html

Output

Exploring neighborhood of 'GraphBuilder' (hops=2)...
Found 3 matching nodes:
  - class:src/nervapack/graph/builder.py:GraphBuilder
  - function:src/nervapack/graph/builder.py:build_from_entities
  - function:src/nervapack/graph/builder.py:save_graph

Extracting 2-hop neighborhood...
Subgraph: 47 nodes, 83 edges

Visualization saved: .nervapack/explore_GraphBuilder.html
Opened in browser.

Use cases

Goal Command
Understand a class before refactoring nervapack explore MyClass --hops 2
Check who calls a function nervapack explore my_function --hops 1
See what a file imports and exports nervapack explore src/foo.py --hops 1
Onboard to a module quickly nervapack explore src/auth/ --hops 2
Pre-review impact check nervapack explore ChangedClass --hops 2

Read the full file on GitHub · 108 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. 3d ago First seen · 108 lines · 0 tokens per session scan A 3a398da65d00

Subscribe to this mod's changes

explore is a command published in the GitHub repository ramdhavepreetam/NervaPack (1 stars, last pushed 9d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 760 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.