deepsearch

deepsearch is a skill for Claude Code, Codex from junghwaYang/oh-my-codex. It costs 0 tokens per session (498 once invoked), scanned A, original, MIT.

A guide for exploring and understanding unfamiliar codebases in depth. It supports tracing data flow, mapping dependencies, and finding implementations through structural, meaning-based, and pattern searches.

In plain words
What is it for?
Use it for onboarding, locating related code, tracing calls from inputs to outputs, and investigating duplication, unused exports, or circular dependencies.
Why use it?
It reduces the time needed to learn where code lives, how parts connect, and where a particular behavior is handled.

Skill for Claude CodeCodex

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 skills/junghwayang/oh-my-codex/deepsearch
Any agent
npx skills add junghwaYang/oh-my-codex --skill deepsearch
Clone the repo
git clone --depth 1 https://github.com/junghwaYang/oh-my-codex

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for deepsearch

README.md
[![agentmods](https://agentmods.dev/badge/skills/junghwayang/oh-my-codex/deepsearch.svg)](https://agentmods.dev/skills/junghwayang/oh-my-codex/deepsearch)
Your own site
<a href="https://agentmods.dev/skills/junghwayang/oh-my-codex/deepsearch"><img src="https://agentmods.dev/badge/skills/junghwayang/oh-my-codex/deepsearch.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 498 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 $0.00000 $0.00498
Opus 5 $0.00000 $0.00249
Sonnet 5 $0.00000 $0.00100
Haiku 4.5 $0.00000 $0.00050

Measured 5d ago against content hash 1afdd79a0d77, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deepsearch 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 5d 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.

.codex/skills/deepsearch/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deepsearch Skill

Deep codebase exploration and understanding.

When to Use

  • Understanding unfamiliar codebases
  • Finding specific implementations
  • Tracing data flow
  • Mapping dependencies
  • Onboarding to projects

When NOT to Use

  • When you already know the location
  • Simple file lookups

Search Capabilities

Structural Search

Find all:
- Components that use a specific hook
- Functions that call an API
- Classes that implement an interface
- Files that import a module

Semantic Search

Find code that:
- Handles authentication
- Processes payments
- Validates user input
- Manages state

Pattern Search

Find patterns:
- N+1 query potential
- Unused exports
- Circular dependencies
- Code duplication

Exploration Strategies

Top-Down

Entry point → Main modules → Sub-modules → Details

Bottom-Up

Specific function → Callers → Higher-level usage

Data Flow

Input → Transformations → Output

Dependency Graph

Module → Imports → Transitive dependencies

Output Format

## Codebase Analysis: {scope}

### Structure Overview

src/ ├── components/ # React components ├── hooks/ # Custom hooks ├── services/ # API services ├── utils/ # Utilities └── types/ # TypeScript types


### Key Files
| File | Purpose | Dependencies |
|------|---------|--------------|
| auth.ts | Authentication | api, storage |
| api.ts | HTTP client | axios |

### Data Flow
User Input → Validation → API Call → State Update → UI Render

### Findings
1. {finding 1}
2. {finding 2}

### Recommendations
- {recommendation}

Usage

deepsearch: how does authentication work in this codebase

deepsearch: find all places that handle payment processing

deepsearch: map the data flow for user registration

Tips

  1. Start broad, narrow down - Overview first, then details
  2. Follow the data - Trace from input to output
  3. Check tests - Tests reveal expected behavior
  4. Read types first - TypeScript types document structure

Read the full file on GitHub · 115 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. 5d ago First seen · 115 lines · 0 tokens per session scan A 1afdd79a0d77

Subscribe to this mod's changes

deepsearch is a skill published in the GitHub repository junghwaYang/oh-my-codex (5 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 498 tokens. 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens