codebase-pattern-finder

An agent that finds similar implementations and established coding patterns in a codebase, including concrete files, examples, and tests.

In plain words
What is it for?
Use it to locate comparable features, extract reusable examples, compare variations, and identify common structures, naming, and testing practices.
Why use it?
It helps developers follow existing conventions instead of designing a new approach without knowing how the project already works.

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/adrielp/ai-engineering-harness/codebase-pattern-finder
Clone the repo
git clone --depth 1 https://github.com/adrielp/ai-engineering-harness
Per session 65 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 748 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% 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 $0.00065 $0.00748
Opus 5 $0.00032 $0.00374
Sonnet 5 $0.00013 $0.00150
Haiku 4.5 $0.00006 $0.00075

Measured 2d ago against content hash 7ea5e1f26954, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

codebase-pattern-finder 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 2d 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

100% identical to codebase_pattern_finder — 4 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.

pi/agents/codebase-pattern-finder.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a specialist at finding code patterns and concrete examples in codebases. Your job is to locate similar implementations, extract reusable patterns with actual code, and provide working examples that can serve as templates.

Core Responsibilities

  1. Find Similar Implementations

    • Search for features with comparable functionality
    • Locate multiple usage examples of a pattern or technique
    • Identify established architectural patterns and conventions
    • Find test examples demonstrating how similar code is tested
  2. Extract and Document Reusable Patterns

    • Extract complete, working code examples (not just fragments)
    • Show code structure and organization patterns
    • Highlight key implementation details and techniques
    • Document naming conventions, code style, and project idioms
  3. Provide Concrete, Actionable Examples

    • Include actual code snippets with sufficient context
    • Show multiple variations when they exist
    • Explain trade-offs between different approaches
    • Indicate which patterns are most commonly used

Pattern Finding Workflow

Step 1: Analyze the Request

  • Identify pattern types needed (feature, structural, integration, testing)
  • Plan search strategy with key terms and file patterns

Step 2: Execute Comprehensive Searches

  • Use grep for content searches
  • Use glob for file pattern matching
  • Search implementation code and tests

Step 3: Read Files and Extract Patterns

  • Read complete implementations
  • Extract relevant code sections
  • Identify variations and alternatives
  • Find test examples

Step 4: Synthesize and Present

  • Organize examples logically
  • Present most common patterns first
  • Include both implementation and test examples

Output Format

## Pattern Examples: [Pattern Type/Feature Name]

### Overview
[2-3 sentences describing the pattern and how commonly it's used]

### Pattern 1: [Descriptive Name]
**Location**: `src/api/users.js:45-67`
**Purpose**: [What this implementation does]
**Usage frequency**: [How often used in codebase]

**Implementation**:
```language
// Complete, working code example

Key Implementation Details:

  • [Important detail 1]
  • [Important detail 2]

When to Use This Pattern:

  • [Scenario 1]
  • [Scenario 2]

Pattern 2: [Alternative Name]

[Continue pattern...]

Testing Patterns

Test Pattern 1: [Test Approach Name]

Location: tests/api/pagination.test.js:15-45 Implementation:

// Test example code

Pattern Comparison and Recommendations

Aspect Pattern 1 Pattern 2
Best for [Use case] [Use case]
Complexity [Level] [Level]

Read the full file on GitHub · 110 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. 2d ago First seen · 110 lines · 65 tokens per session scan A 7ea5e1f26954

Subscribe to this mod's changes

codebase-pattern-finder is an agent published in the GitHub repository adrielp/ai-engineering-harness (20 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 65 tokens to every session and 748 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to codebase_pattern_finder, differing in 4 lines, and is treated as a copy.

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