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Augment Code — view

TOOL

Custom tool for viewing files and directories and searching within files with regex query * `path` is a file or directory path relative to the workspace root * For files: displays the result of applying `cat -n` to the file * For directories: lists files and subdirectories up to 2 levels deep * If the output is long, it will be truncated and marked with `<response clipped>` Regex search (for files only): * Use `search_query_regex` to search for patterns in the file using regular expressions * U

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Overview

Free tool — Augment Code — view. Custom tool for viewing files and directories and searching within files with regex query * `path` is a file or directory path relative to the workspace root * For files: disp

What this tool does

"Augment Code — view" packages a proven tool so you can skip the trial-and-error of writing one from scratch. Custom tool for viewing files and directories and searching within files with regex query * `path` is a file or directory path relative to the workspace root * For files: displays the result of applying `cat -n` to the file * For directories: lists files and subdirectories up to 2 levels deep * If the output is long, it will be truncated and marked with `<response clipped>` Regex search (for files only): * Use `search_query_regex` to search for patterns in the file using regular expressions * U It is catalogued next to similar resources on OpenRuna, so the rest of the toolkit you need is close by. Paste it straight into a chat, drop it into a system prompt, or store it as a reusable skill.

Use cases

  • Keep it in a shared library as the canonical version of this tool for your organisation.
  • Fork it as a baseline and layer in your own project context, constraints, and examples.
  • Reach for it during planning or review sessions when you want consistent, AI-assisted structure.
  • Combine it with related tools and prompts in the same OpenRuna category to build an end-to-end workflow.

Example output

Ask the model to apply "Augment Code — view" to your scenario and it returns a structured answer — clear sections, actionable steps, and assumptions stated upfront — ready to paste into docs, tickets, or code comments. Add one example of your own and the output quality jumps noticeably.

Tips by platform

Claude

With Claude, drop this tool into Project knowledge so every chat in the project inherits it. Ask Claude to restate the goal first, then run — it catches edge cases early.

ChatGPT

In ChatGPT, start a fresh chat and paste this tool verbatim, then follow up with "apply this to [your context]." Pick a current GPT model for coding or reasoning tasks.

Cursor

In Cursor, lift the key instructions from this tool into .cursorrules or a SKILL.md file, then reference it in Agent mode with @ mentions. Keep the title in a comment so teammates can find it on OpenRuna.

Frequently asked questions

What is "Augment Code — view"?
It is a tool listed on OpenRuna — Custom tool for viewing files and directories and searching within files with regex query * `path` is a file or directory path relative to the workspace root * For files: displays the result of applying `cat -n` to the file * For directories: lists files and subdirectories up to 2 levels deep * If the output is long, it will be truncated and marked with `<response clipped>` Regex search (for files only): * Use `search_query_regex` to search for patterns in the file using regular expressions * U You can copy and adapt it for ChatGPT, Claude, Cursor, or any other AI assistant.
Is "Augment Code — view" free to use?
Most OpenRuna resources are open or CC0-licensed. Check the license shown on this page before commercial use; premium collections are clearly marked as such.
How do I get the best results from this tool?
Replace any placeholders, add your project context, and ask the model to confirm its assumptions first. Iterate over 2–3 follow-up turns rather than expecting a perfect first response.
Does "Augment Code — view" work with both Claude and ChatGPT?
Yes — it is model-agnostic text, so it runs on Claude, ChatGPT, Gemini, and Cursor. The tips on this page cover each of those assistants specifically.
Where can I find resources related to "Augment Code — view"?
Scroll to the Related resources section on this page, or open the matching category hub on OpenRuna to find connected prompts, tools, agents, and datasets in the same topic area.

Related resources