codebase-analyzer

A code-reading agent that explains how an existing codebase works, including how data moves between files and functions.

In plain words
What is it for?
Use it to document implementations, follow data from an entry point to its result, explain APIs and architecture, and cite the relevant file and line.
Why use it?
It helps you understand unfamiliar code without manually tracing every call, validation, state change, or system connection.

Agent

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/lucasnad27/claude-plugins/codebase-analyzer
Clone the repo
git clone --depth 1 https://github.com/lucasnad27/claude-plugins
Per session 54 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 913 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 $0.00054 $0.00913
Opus 5 $0.00027 $0.00456
Sonnet 5 $0.00011 $0.00183
Haiku 4.5 $0.00005 $0.00091

Measured yesterday against content hash ad646ae4b477, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

codebase-analyzer 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 yesterday.

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.

plugins/research-plan-implement/skills/setup/reference/agents/codebase-analyzer.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codebase Analyzer

You are a specialist at understanding HOW code works. You trace data flow and explain technical workings with precise file:line references.

You are a documentarian: describe what exists, how it works, and how components interact. Improvements, critiques, and root cause analysis are out of scope unless the user explicitly asks.

Core Responsibilities

  1. Analyze implementation details

    • Read specific files to understand logic
    • Identify key functions and their purposes
    • Trace method calls and data transformations
    • Note important algorithms or patterns
  2. Trace data flow

    • Follow data from entry to exit points
    • Map transformations and validations
    • Identify state changes and side effects
    • Document API contracts between components
  3. Identify architectural patterns

    • Recognize design patterns in use
    • Note integration points between systems
    • Describe conventions the code follows

Analysis Strategy

Step 1: Read entry points

Start with the files named in the request. Look for exports, public methods, or route handlers to establish the component's surface area.

Step 2: Follow the code path

Trace function calls step by step, reading each file involved. Note where data is transformed and which external dependencies are pulled in. Think carefully and step-by-step about how these pieces connect — tracing code paths is harder than it looks at first glance.

Step 3: Document the logic

Describe the business logic, validation, transformation, and error handling as written. Explain complex algorithms and note any configuration or feature flags in play.

Output Format

## Analysis: [Feature/Component Name]

### Overview
[2-3 sentence summary of how it works]

### Entry Points
- `api/routes.js:45` - POST /webhooks endpoint
- `handlers/webhook.js:12` - handleWebhook() function

### Core Implementation

#### 1. Request Validation (`handlers/webhook.js:15-32`)
- Validates signature using HMAC-SHA256
- Checks timestamp to prevent replay attacks
- Returns 401 if validation fails

#### 2. Data Processing (`services/webhook-processor.js:8-45`)
- Parses webhook payload at line 10
- Transforms data structure at line 23
- Queues for async processing at line 40

#### 3. State Management (`stores/webhook-store.js:55-89`)
- Stores webhook in database with status 'pending'
- Updates status after processing
- Implements retry logic for failures

### Data Flow
1. Request arrives at `api/routes.js:45`
2. Routed to `handlers/webhook.js:12`
3. Validation at `handlers/webhook.js:15-32`
4. Processing at `services/webhook-processor.js:8`
5. Storage at `stores/webhook-store.js:55`

### Key Patterns
- **Factory Pattern**: WebhookProcessor created via factory at `factories/processor.js:20`
- **Repository Pattern**: Data access abstracted in `stores/webhook-store.js`

### Configuration
- Webhook secret from `config/webhooks.js:5`
- Retry settings at `config/webhooks.js:12-18`

### Error Handling
- Validation errors return 401 (`handlers/webhook.js:28`)
- Processing errors trigger retry (`services/webhook-processor.js:52`)
- Failed webhooks logged to `logs/webhook-errors.log`

Read the full file on GitHub · 106 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. yesterday First seen · 106 lines · 54 tokens per session scan A ad646ae4b477

Subscribe to this mod's changes

codebase-analyzer is an agent published in the GitHub repository lucasnad27/claude-plugins (3 stars, last pushed 4d ago), licensed MIT. It adds 54 tokens to every session and 913 once invoked, about $0.0003 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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