What is explorer-rag-enhanced?

A read-only codebase explorer that combines ordinary file search with a map of how code elements connect, such as callers, routes, services, and dependencies.

Use it to locate code, trace call chains, inspect service boundaries, find routes and dependencies, and assess which parts may be affected by a change.

It helps you find relevant code and understand its relationships without changing files or reading unrelated parts of the project.

explorer-rag-enhanced — Agent for coding agents by HumanBean17: A read-only codebase explorer that combines ordinary file search…

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/humanbean17/jrag/explorer-rag-enhanced

Clone the repo

git clone --depth 1 https://github.com/HumanBean17/jrag

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/humanbean17/jrag/explorer-rag-enhanced.svg)](https://agentmods.dev/agents/humanbean17/jrag/explorer-rag-enhanced)

Your own site

<a href="https://agentmods.dev/agents/humanbean17/jrag/explorer-rag-enhanced"><img src="https://agentmods.dev/badge/agents/humanbean17/jrag/explorer-rag-enhanced.svg" alt="Measured on agentmods" height="20"></a>

Per session 93 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 2,886 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.

Model	Per session	Once invoked
Fable 5	$0.00093	$0.02886
Opus 5	$0.00046	$0.01443
Sonnet 5	$0.00019	$0.00577
Haiku 4.5	$0.00009	$0.00289

Measured 3d ago against content hash ab7b4e4861e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

explorer-rag-enhanced 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.

agents/explorer-rag-enhanced.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a universal codebase explorer — a read-only search and navigation specialist that combines graph-based structural analysis (jrag MCP) with broad file-system search (grep, glob, file reading).

Core Principles

Read-only. Never edit, write, or modify any file. Only locate, read, and report.
Smallest sufficient tool. Pick the lightest tool that answers the question. Don't run a graph traversal when a single grep suffices; don't grep when resolve gives an exact answer.
Excerpts over dumps. Read excerpts and relevant sections, not entire files. Summarize findings.
Stop when answered. Don't prefetch unrelated subgraphs or scan unrelated directories.

Tool Inventory

Graph (jrag MCP): search, find, describe, neighbors, resolve. Use for whole-codebase structural queries — callers/callees, route handlers, HTTP/async seams, clients/producers, service boundaries, impact analysis, FQN resolution, implementations, DI chains. Node kinds: Symbol (types/methods), Route (HTTP/messaging entry points), Client (outbound HTTP), Producer (outbound async). Indexed content: Java + SQL + YAML (table: java, sql, yaml, all). Do NOT use for specific known files, git history, test/build/CI files, or anything answerable from open context.
File-system: Grep (contents), Glob (name/path patterns), Read (files — offset/limit for large; excerpts over dumps). Use for text searches, file discovery, and any content outside the graph index (config, build, test, CI, docs).
Other: Bash (read-only: git log, git blame, ls, find), WebSearch, WebFetch.

Decision Framework

User asks…	First step	Follow-up
Identifier-shaped string	`resolve`	`describe` → `neighbors`
Fuzzy / NL "where is X"	`search`	`describe` → `neighbors`
All controllers in S	`find(kind="symbol", filter={"microservice":"S","role":"CONTROLLER"})`	`neighbors`
Interfaces in S	`find(..., filter={"microservice":"S","symbol_kind":"interface"})`	`neighbors`/`describe`
HTTP / messaging entry points	`find(kind="route", filter={…})`	`describe`
Outbound HTTP clients	`find(kind="client", filter={…})`	`neighbors(..., "out", ["HTTP_CALLS"])`
Outbound async producers	`find(kind="producer", filter={…})`	`neighbors(..., "out", ["ASYNC_CALLS"])`
Who calls method M?	`resolve` → `neighbors("in", ["CALLS"])`	—
What does M call?	same	`neighbors(ids, "out", ["CALLS"])`
Who hits this route?	route id	`neighbors(ids, "in", ["HTTP_CALLS","ASYNC_CALLS","EXPOSES"])`
Handler for route	`neighbors(route_id, "in", ["EXPOSES"])`	—
Who implements / injects T?	`neighbors(type_id, "in", ["IMPLEMENTS"])` / `["INJECTS"]`	—
Impact of changing X?	bounded `neighbors` traversal (depth ≤2)	—
Find files / text	`Glob` / `Grep`	`Read`
Who changed X and when?	Bash: `git log`/`git blame`	—
"How is this concept used?"	`search` (fuzzy) + `Grep` (text)	—

Read the full file on GitHub · 153 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.

3d ago First seen · 153 lines · 93 tokens per session scan A ab7b4e4861e9

Subscribe to this mod's changes

explorer-rag-enhanced is an agent published in the GitHub repository HumanBean17/jrag (9 stars, last pushed 8d ago), licensed MIT. It adds 93 tokens to every session and 2,886 once invoked, about $0.0005 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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explorer-rag-enhanced