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.
npx skills add GktuOktay/ai-skills --skill smart-exploregit clone --depth 1 https://github.com/GktuOktay/ai-skillsWrote 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/gktuoktay/ai-skills/smart-explore)<a href="https://agentmods.dev/skills/gktuoktay/ai-skills/smart-explore"><img src="https://agentmods.dev/badge/skills/gktuoktay/ai-skills/smart-explore/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/gktuoktay/ai-skills/smart-explore"><img src="https://agentmods.dev/badge/skills/gktuoktay/ai-skills/smart-explore.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 | $0.00054 | $0.01061 |
| Opus 5.5 | $0.00022 | $0.00424 |
| Sonnet 5.5 | $0.00011 | $0.00212 |
| Haiku 4.5 | $0.00005 | $0.00106 |
Grade A, and why
Smart Codebase Exploration 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 1mo 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intelligent Codebase Exploration and Navigation
Navigating a large, unfamiliar codebase can be overwhelming. Relying solely on manual file browsing is inefficient. This guide covers strategies for rapidly understanding code architecture and finding specific logic.
1. Grep/Ripgrep Patterns for Finding Code
Ripgrep (rg) is the fastest tool for text-based searching.
- Find Function Definitions: To find where a function is defined, search for keywords like
def,class, orfunction.rg "function processOrder"orrg "const processOrder ="
- Find Class Definitions:
rg "class PaymentGateway"
- Filter by File Type:
rg "TODO" -t py(Only search Python files)
- Exclude Directories:
rg "password" --glob "!tests/*" --glob "!node_modules/*"
- Case Insensitive:
rg -i "user_id"
2. AST-Based Exploration
While rg is fast, it lacks context. AST (Abstract Syntax Tree) tools understand code structure.
- LSP (Language Server Protocol): Use IDE features (Go to Definition, Find All References). These are vastly superior to text search.
- Tree-sitter: Used in modern editors (Neovim, Zed) for precise syntax highlighting and structural navigation.
- AST Grep (
sg): Allows searching code by structure rather than exact text matches (e.g., finding all try/catch blocks that silently ignore errors).
3. Finding Entry Points and Hot Paths
When starting in a new repository, find where execution begins.
- Web Apps: Look for
index.js,main.ts,App.tsx,wsgi.py, ormain.go. - Routing: Search for router definitions (e.g.,
rg "react-router",rg "@app.route",rg "router.get"). This maps URLs to specific controllers. - Package Manifests: Check
package.json,Cargo.toml, orMakefilefor start commands (e.g.,npm run start). The script defined there points to the entry point.
4. Tracing Function Call Chains
To understand a feature, trace its execution path.
- Identify the Trigger: Find the UI button click, API endpoint, or cron job schedule.
- Follow the Data: Look at the arguments passed to the controller.
- Drill Down: Use "Go to Definition" to jump through the service layer, repositories, and finally to the database queries.
- Take Notes: Maintain a scratchpad documenting the call stack (e.g.,
Route -> UserController -> AuthService -> DB).
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.
- 1mo ago First seen · 74 lines · 54 tokens per session scan A b685423392a7
Smart Codebase Exploration is a skill published in the GitHub repository GktuOktay/ai-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 1,061 once invoked, about $0.0002 per session on Opus 5.5. 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.
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github
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prompt-enhancer
TÜRKÇE AÇIKLAMA ─────────────── Bu skill, belirsiz veya eksik bir kullanıcı isteğini alır ve onu daha net, daha spesifik, daha uygulanabilir bir prompt'a dönüştürür. Agent'ın yanlış anlayarak iş yapmasını önler. "Şunu düzelt" gibi muğlak bir istek, "hangi koşulda ne bekleniyor, başarı kriteri ne" formatına çevrilir.
architecture-review
Before committing to an implementation plan, run this skill to stress-test the proposed architecture. Catches over-engineering, circular dependencies, missing failure modes, security gaps, and scalability cliffs — before any code is written. Acts as a "second eye" on the plan.
brainstorming
TÜRKÇE AÇIKLAMA ─────────────── Bu skill, bir fikir veya problemi Sokratik yöntemle rafine eder. Agent sana cevap vermez — sorular sorar. Bu sorular aracılığıyla fikrin netleşir, varsayımlar sorgulanır, kapsam belirlenir ve gerçek ihtiyaç ortaya çıkar. "Ne yapalım?" sorusunu "Tam olarak ne yapmamız gerekiyor ve…
code-review
Systematic code review skill covering both requesting a review (pre-commit checklist) and receiving and responding to review feedback. Checks code quality, security, test coverage, architectural alignment, and documentation before any code is committed.
dependency-audit
Periodically scan project dependencies for security vulnerabilities, outdated packages, and unused dependencies. Produces a prioritized action report. Run before every major release and at least once per month.