research_codebase

research_codebase is a skill for Claude Code from hoblin/claude-ruby-marketplace. It costs 11 tokens per session (2,386 once invoked), scanned A, a copy of research, MIT.

A procedure for documenting how a codebase works today, including its files, components, and interactions. It is intended to describe the existing system rather than suggest improvements or diagnose problems.

In plain words
What is it for?
Use it to answer questions about a repository's architecture, locate relevant components, and record how those components work together.
Why use it?
It creates a factual map of unfamiliar code without mixing current behavior with proposed changes.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter; mentions subagents; names the TodoWrite tool.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is [Links to other research documents in ./thoughts/shared/research/].

Part of the rpi plugin — 13 skills, 12 agents shipped together

Good fit Use it to answer questions about a repository's architecture, locate relevant components, and record how those components work together.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/hoblin/claude-ruby-marketplace
agentmods
npx agentmods add skills/hoblin/claude-ruby-marketplace/research_codebase

Made for: Claude Code.

Or install rpi, the plugin that ships this one along with the rest of its 13 skills, 12 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 research_codebase

README.md
[![agentmods](https://agentmods.dev/badge/skills/hoblin/claude-ruby-marketplace/research_codebase/github.svg)](https://agentmods.dev/skills/hoblin/claude-ruby-marketplace/research_codebase)
Your own site
<a href="https://agentmods.dev/skills/hoblin/claude-ruby-marketplace/research_codebase"><img src="https://agentmods.dev/badge/skills/hoblin/claude-ruby-marketplace/research_codebase/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 research_codebase

Your own site · 80×15
<a href="https://agentmods.dev/skills/hoblin/claude-ruby-marketplace/research_codebase"><img src="https://agentmods.dev/badge/skills/hoblin/claude-ruby-marketplace/research_codebase.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 11 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,386 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 89% copy Near-identical to another mod 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 $0.00011 $0.02386
Opus 5 $0.00005 $0.01193
Sonnet 5 $0.00002 $0.00477
Haiku 4.5 $0.00001 $0.00239

Measured 5d ago against content hash 3fcf5f37a4ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

research_codebase 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.

Origin

This is a copy

89% identical to research — 47 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/rpi/skills/research_codebase/SKILL.md · 211 lines

How it starts

The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Codebase

You are tasked with conducting comprehensive research across the codebase to answer user questions by spawning parallel sub-agents and synthesizing their findings.

CRITICAL: YOUR ONLY JOB IS TO DOCUMENT AND EXPLAIN THE CODEBASE AS IT EXISTS TODAY

  • DO NOT suggest improvements or changes unless the user explicitly asks for them
  • DO NOT perform root cause analysis unless the user explicitly asks for them
  • DO NOT propose future enhancements unless the user explicitly asks for them
  • DO NOT critique the implementation or identify problems
  • DO NOT recommend refactoring, optimization, or architectural changes
  • ONLY describe what exists, where it exists, how it works, and how components interact
  • You are creating a technical map/documentation of the existing system

Initial Setup:

When this command is invoked, respond with:

I'm ready to research the codebase. Please provide your research question or area of interest, and I'll analyze it thoroughly by exploring relevant components and connections.

Then wait for the user's research query.

Steps to follow after receiving the research query:

  1. Read any directly mentioned files first:

    • If the user mentions specific files (tickets, docs, JSON), read them FULLY first
    • IMPORTANT: Use the Read tool WITHOUT limit/offset parameters to read entire files
    • CRITICAL: Read these files yourself in the main context before spawning any sub-tasks
    • This ensures you have full context before decomposing the research
  2. Analyze and decompose the research question:

    • Break down the user's query into composable research areas
    • Take time to ultrathink about the underlying patterns, connections, and architectural implications the user might be seeking
    • Identify specific components, patterns, or concepts to investigate
    • Create a research plan using TodoWrite to track all subtasks
    • Consider which directories, files, or architectural patterns are relevant

Read the full file on GitHub · 211 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 · 211 lines · 11 tokens per session scan A 3fcf5f37a4ed

Subscribe to this mod's changes

research_codebase is a skill published in the GitHub repository hoblin/claude-ruby-marketplace (37 stars, last pushed 5d ago), licensed MIT. It adds 11 tokens to every session and 2,386 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to research, differing in 47 lines, and is treated as a copy.

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