Augment Code — read-process
TOOLRead output from a terminal. If `wait=true` and the process has not yet completed, waits for the terminal to complete up to `max_wait_seconds` seconds before returning its output. If `wait=false` or the process has already completed, returns immediately with the current output.
View on GitHubOverview
Augment Code — read-process is a free tool on OpenRuna. Read output from a terminal. If `wait=true` and the process has not yet completed, waits for the terminal to complete up to `max_wait_seconds` seconds before returning its output.
What this tool does
Looking for a dependable tool? "Augment Code — read-process" gives you a tested starting point instead of a blank prompt box. Read output from a terminal. If `wait=true` and the process has not yet completed, waits for the terminal to complete up to `max_wait_seconds` seconds before returning its output. If `wait=false` or the process has already completed, returns immediately with the current output. On OpenRuna it sits inside a connected graph of related tools, tools, and datasets, so branching into adjacent resources is one click away. Paste it straight into a chat, drop it into a system prompt, or store it as a reusable skill.
Use cases
- Fork it as a baseline and layer in your own project context, constraints, and examples.
- Keep it in a shared library as the canonical version of this tool for your organisation.
- Use "Augment Code — read-process" when you need a repeatable tool for professional work without rewriting instructions every time.
- Hand "Augment Code — read-process" to a new teammate so their tool output matches your team's quality bar from day one.
Example output
Ask the model to apply "Augment Code — read-process" 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. Expect 2–3 iterations to dial in tone and depth for your context.
Tips by platform
Claude
Claude works best when you paste this tool up front and ask it to outline its plan before writing. Use the artifact panel to refine structured output turn by turn.
ChatGPT
ChatGPT responds well when you paste this tool and immediately give one concrete example of your input. Use a reasoning-capable model for multi-step work.
Cursor
Add this tool to your Cursor rules and invoke it from Agent mode for repeatable results. Link back to its OpenRuna page in the rule so the source stays discoverable.
Frequently asked questions
- What is "Augment Code — read-process"?
- It is a tool listed on OpenRuna — Read output from a terminal. If `wait=true` and the process has not yet completed, waits for the terminal to complete up to `max_wait_seconds` seconds before returning its output. If `wait=false` or the process has already completed, returns immediately with the current output. You can copy and adapt it for ChatGPT, Claude, Cursor, or any other AI assistant.
- Is "Augment Code — read-process" 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 — read-process" 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 — read-process"?
- 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.
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