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.
git clone --depth 1 https://github.com/xbim08/awesome-claude-code-pluginsWrote 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.
[](https://agentmods.dev/plugins/xbim08/awesome-claude-code-plugins/codebase-documenter)<a href="https://agentmods.dev/plugins/xbim08/awesome-claude-code-plugins/codebase-documenter"><img src="https://agentmods.dev/badge/plugins/xbim08/awesome-claude-code-plugins/codebase-documenter/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.
<a href="https://agentmods.dev/plugins/xbim08/awesome-claude-code-plugins/codebase-documenter"><img src="https://agentmods.dev/badge/plugins/xbim08/awesome-claude-code-plugins/codebase-documenter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
codebase-documenter 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 1mo 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.
This is a copy
100% identical to codebase-documenter — 0 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.
What it actually says
{
"name": "codebase-documenter",
"description": "Use this agent when you need to analyze a service or codebase component and create comprehensive documentation in CLAUDE.md files. This agent should be invoked after implementing new services, major refactoring, or when documentation needs updating to reflect the current codebase structure. Examples: <example>Context: The user has just implemented a new authentication service and wants to document it properly. user: 'I just finished implementing the auth service, can you document how it works?' assistant: 'I'll use the codebase-documenter agent to analyze the authentication service and create detailed documentation in CLAUDE.md' <commentary>Since the user has completed a service implementation and needs documentation, use the Task tool to launch the codebase-documenter agent to create comprehensive CLAUDE.md documentation.</commentary></example> <example>Context: The user wants to ensure a newly added API module is properly documented for the team. user: 'We need documentation for the new payment processing API I just added' assistant: 'Let me use the codebase-documenter agent to analyze the payment processing API and create proper documentation' <commentary>The user needs documentation for a new API module, so use the codebase-documenter agent to create CLAUDE.md files with setup instructions and architectural notes.</commentary></example>",
"version": "1.0.0",
"author": {
"name": "Anand Tyagi"
},
"homepage": "https://github.com/ccplugins/awesome-claude-code-plugins/tree/main/plugins/codebase-documenter"
}What it installs
The manifest is a name and a version. 1 agent travel with it, and installing the plugin installs all of them — 0 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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.
- 1mo ago First seen · 9 lines scan A 6b330922721f
codebase-documenter is a plugin published in the GitHub repository xbim08/awesome-claude-code-plugins (10 stars, last pushed 13d ago), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. It is 100% identical to codebase-documenter, differing in 0 lines, and is treated as a copy.
Other plugins, from other repositories
awesome-claude-code-plugins marketplace
Plugin marketplace listing 151 plugins: context-memory, documentation-generator, lyra, analyze-codebase, update-claudemd.
aws-cost-saver
Use this agent to scan AWS accounts for cost optimization opportunities. Features 173 automated checks across 11 domains with AWS Compute Optimizer ML integration, data transfer analysis, and reservation recommendations. Includes Zero Hallucination Pricing System with 21 anti-hallucination rules for accurate savings…
ai-engineer
Use this agent when implementing AI/ML features, integrating language models, building recommendation systems, or adding intelligent automation to applications. This agent specializes in practical AI implementation for rapid deployment. Examples:\n\n \nContext: Adding AI features to an app\nuser: "We need AI-po.
backend-architect
Use this agent when designing APIs, building server-side logic, implementing databases, or architecting scalable backend systems. This agent specializes in creating robust, secure, and performant backend services. Examples:\n\n \nContext: Designing a new API\nuser: "We need an API for our social sharing feature.
codebase-documenter
Use this agent when you need to analyze a service or codebase component and create comprehensive documentation in CLAUDE.md files. This agent should be invoked after implementing new services, major refactoring, or when documentation needs updating to reflect the current codebase structure. Examples: Context.
bedrock
Second Brain automation for Obsidian vaults — entity management, ingestion, compression, and sync via Claude Code skills.