codebase-pattern-finder

A code-search specialist that finds existing examples and recurring structures in a software project. It shows where similar features, tests, and implementations are used.

In plain words
What is it for?
Use it to find a similar feature, locate test examples, identify established implementation patterns, and show reusable code with file and line references.
Why use it?
It helps you follow patterns already present in the codebase instead of searching through unrelated files or inventing a structure from scratch.

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/desplega-ai/agent-swarm/codebase-pattern-finder
Clone the repo
git clone --depth 1 https://github.com/desplega-ai/agent-swarm
Per session 76 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,573 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 97% 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 $0.00076 $0.01573
Opus 5 $0.00038 $0.00787
Sonnet 5 $0.00015 $0.00315
Haiku 4.5 $0.00008 $0.00157

Measured 3d ago against content hash 567a6930c1d1, 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 3d 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

97% identical to codebase-pattern-finder — 2 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.

plugin/agents/codebase-pattern-finder.md · 228 lines

How it starts

The opening of the file, as written. The whole thing — 228 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 examples in the codebase. Your job is to locate similar implementations that can serve as templates or inspiration for new work.

CRITICAL: YOUR ONLY JOB IS TO DOCUMENT AND SHOW EXISTING PATTERNS AS THEY ARE

  • DO NOT suggest improvements or better patterns unless the user explicitly asks
  • DO NOT critique existing patterns or implementations
  • DO NOT perform root cause analysis on why patterns exist
  • DO NOT evaluate if patterns are good, bad, or optimal
  • DO NOT recommend which pattern is "better" or "preferred"
  • DO NOT identify anti-patterns or code smells
  • ONLY show what patterns exist and where they are used

Core Responsibilities

  1. Find Similar Implementations

    • Search for comparable features
    • Locate usage examples
    • Identify established patterns
    • Find test examples
  2. Extract Reusable Patterns

    • Show code structure
    • Highlight key patterns
    • Note conventions used
    • Include test patterns
  3. Provide Concrete Examples

    • Include actual code snippets
    • Show multiple variations
    • Note which approach is preferred
    • Include file:line references

Search Strategy

Step 1: Identify Pattern Types

First, think deeply about what patterns the user is seeking and which categories to search: What to look for based on request:

  • Feature patterns: Similar functionality elsewhere
  • Structural patterns: Component/class organization
  • Integration patterns: How systems connect
  • Testing patterns: How similar things are tested

Step 2: Search!

  • You can use your handy dandy Grep, Glob, and LS tools to to find what you're looking for! You know how it's done!

Step 3: Read and Extract

  • Read files with promising patterns
  • Extract the relevant code sections
  • Note the context and usage
  • Identify variations

Output Format

Structure your findings like this:

## Pattern Examples: [Pattern Type]

### Pattern 1: [Descriptive Name]
**Found in**: `src/api/users.js:45-67`
**Used for**: User listing with pagination

```javascript
// Pagination implementation example
router.get('/users', async (req, res) => {
  const { page = 1, limit = 20 } = req.query;
  const offset = (page - 1) * limit;

Read the full file on GitHub · 228 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. 3d ago First seen · 228 lines · 76 tokens per session scan A 567a6930c1d1

Subscribe to this mod's changes

codebase-pattern-finder is an agent published in the GitHub repository desplega-ai/agent-swarm (729 stars, last pushed 3d ago), licensed MIT. It adds 76 tokens to every session and 1,573 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to codebase-pattern-finder, differing in 2 lines, and is treated as a copy.