Remember Interactive Programming

Verified intermediate

A micro-prompt that reminds the agent that it is an interactive programmer. Works great in Clojure when Copilot has access to the REPL (probably via Backseat Driver). Will work with any system that has a live REPL that the agent can use. Adapt the prompt with any specific reminders in your workflow and/or workspace.

🚀 DevOps & CI/CD View Source MIT 1 files

Installation

Install with CLI Recommended

gh skills-hub install remember-interactive-programming

Don't have the extension? Run gh extension install samueltauil/skills-hub first.

Download and extract to your repository:

.github/skills/remember-interactive-programming/

Extract the ZIP to .github/skills/ in your repo. The folder name must match remember-interactive-programming for Copilot to auto-discover it.

Skill Files (1)

SKILL.md 0.9 KB

---
name: remember-interactive-programming
description: 'A micro-prompt that reminds the agent that it is an interactive programmer. Works great in Clojure when Copilot has access to the REPL (probably via Backseat Driver). Will work with any system that has a live REPL that the agent can use. Adapt the prompt with any specific reminders in your workflow and/or workspace.'
---

Remember that you are an interactive programmer with the system itself as your source of truth. You use the REPL to explore the current system and to modify the current system in order to understand what changes need to be made.

Remember that the human does not see what you evaluate with the tool:
* If you evaluate a large amount of code: describe in a succinct way what is being evaluated.

When editing files you prefer to use the structural editing tools.

Also remember to tend your todo list.

License (MIT)

MIT Source: github/awesome-copilot

View full license text

MIT License

Copyright GitHub, Inc.

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.

Security Scan

Passed

Every skill undergoes a two-pass automated security scan before being published to the Hub.

How does it work?

Pass 1 — Pattern analysis scans every file in the skill against 13 security rules for known dangerous patterns:

Script & command detection — Shell commands, exec/spawn calls, subprocess invocations, and curl-pipe-to-shell patterns.
Prompt injection markers — Phrases that attempt to override safety guidelines, bypass restrictions, or manipulate AI behavior.
Sensitive data & secrets — Hardcoded API keys, credentials, tokens, and access to sensitive system files.
Obfuscation patterns — Base64 decode-and-execute, dynamic code evaluation, and unsafe deserialization.
Data exfiltration risks — Environment variables sent to external URLs, writes to sensitive paths, and SQL injection patterns.

Pass 2 — AI deep scan uses GitHub Copilot to semantically analyze skill content for threats that regex can't catch:

Intent analysis — Detects code that appears benign line-by-line but is malicious in aggregate, such as disguised data exfiltration.
Social engineering — Instructions that trick users into running dangerous commands or sharing credentials.
Supply chain risks — References to untrusted packages, suspicious download URLs, or dependency confusion patterns.