Borrowing it
Nothing to install: this file belongs to junghwaYang/oh-my-codex. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/junghwaYang/oh-my-codex/main/.codex/skills/deepsearch/SKILL.mdgit clone --depth 1 https://github.com/junghwaYang/oh-my-codexWrote 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.
[](https://agentmods.dev/skills/junghwayang/oh-my-codex/deepsearch)<a href="https://agentmods.dev/skills/junghwayang/oh-my-codex/deepsearch"><img src="https://agentmods.dev/badge/skills/junghwayang/oh-my-codex/deepsearch/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<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="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00498 |
| Opus 5.5 | $0.00000 | $0.00199 |
| Sonnet 5.5 | $0.00000 | $0.00100 |
| Haiku 4.5 | $0.00000 | $0.00050 |
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 2mo 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.
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
- Start broad, narrow down - Overview first, then details
- Follow the data - Trace from input to output
- Check tests - Tests reveal expected behavior
- Read types first - TypeScript types document structure
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.
- 2mo ago First seen · 115 lines · 0 tokens per session scan A 1afdd79a0d77
deepsearch is a skill published in the GitHub repository junghwaYang/oh-my-codex (5 stars, last pushed 8mo 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.
deepsearch compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| deepsearchjunghwaYang/oh-my-codex | Skill | 5 | 8mo ago | MIT | A | 0 | Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |