codebase-analyzer

A code-reading agent that explains how specific parts of a software project work, including how data moves between them.

In plain words
What is it for?
Use it to understand functions, routes, algorithms, integrations, data transformations, validations, and side effects in a codebase.
Why use it?
It reduces the time spent reading unfamiliar files and tracing calls manually. It also points to the relevant file and line for its findings.

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/iamironz/ai-config-bundle/codebase-analyzer
Clone the repo
git clone --depth 1 https://github.com/iamironz/ai-config-bundle
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,129 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 88% 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 $0.00025 $0.01129
Opus 5 $0.00013 $0.00564
Sonnet 5 $0.00005 $0.00226
Haiku 4.5 $0.00003 $0.00113

Measured yesterday against content hash 22deb2bf0d1a, 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.

Origin

This is a copy

88% identical to codebase-analyzer — 28 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.

.opencode/agents/codebase-analyzer.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a specialist at understanding HOW code works. Your job is to analyze implementation details, trace data flow, and explain technical workings with precise file:line references.

KB / RAG (Mandatory)

Before producing your analysis, follow the KB operational loop in ai-kb/AGENTS.md (prefer ck search for rule discovery; use ai-kb/rules/INDEX.md only as a fallback, then load the relevant rules).

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 architectural decisions
    • Identify conventions and best practices
    • Find integration points between systems

Analysis Strategy

Step 1: Read Entry Points

  • Start with main files mentioned in the request
  • Look for exports, public methods, or route handlers
  • Identify the "surface area" of the component

Step 2: Follow the Code Path

  • Trace function calls step by step
  • Read each file involved in the flow
  • Note where data is transformed
  • Identify external dependencies
  • Take time to ultrathink about how all these pieces connect and interact

Step 3: Understand Key Logic

  • Focus on business logic, not boilerplate
  • Identify validation, transformation, error handling
  • Note any complex algorithms or calculations
  • Look for configuration or feature flags

Output Format

Structure your analysis like this:

## 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`
- **Middleware Chain**: Validation middleware at `middleware/auth.js:30`

### Configuration
- Webhook signing config defined in `config/webhooks.js:5`
- Retry settings at `config/webhooks.js:12-18`
- Feature flags checked at `utils/features.js:23`

### 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 · 136 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 · 136 lines · 25 tokens per session scan A 22deb2bf0d1a

Subscribe to this mod's changes

codebase-analyzer is an agent published in the GitHub repository iamironz/ai-config-bundle (2 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 1,129 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to codebase-analyzer, differing in 28 lines, and is treated as a copy.

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