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Repl Scratchpad

Unverified
knot0-com·v1.0.0·agents·MIT

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Repository

Install on your platform

Showing OpenClaw.

  1. 1

    Run this in your terminal

    terminal
    $ openclaw skills install repl-scratchpad

What we know about this skill

Publisher

knot0-com

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No obfuscated payloads: failed

    Contains 1 obfuscated or encoded payload pattern.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

    What it found

    • scripts/setup.sh:29exec(compile(...)) of assembled source
      exec(compile(f.read(), code_file, 'exec'), globals())

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned knot0-com/repl-scratchpad at ad8b469e27.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
ad8b469e27
Manifest
SKILL.md
Scanned
6 files, 600 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The REPL Scratchpad provides a persistent Python REPL environment for coding agents, allowing variables and data to survive across multiple turns of conversation. This prevents context window overflow by ensuring only the output from print() statements are sent back to the main conversation, while raw data and intermediate results remain within the scratchpad's memory. The system executes code written by the agent in a tmux-backed Python REPL session.

When to use it

  • Analyzing large datasets: When an agent needs to process many files (e.g., 142) or API responses, preventing context clutter.
  • Complex calculations: For tasks involving multiple steps and intermediate variables that don't need to be visible in the main conversation.
  • Iterative development: When refining code logic across several turns without repeatedly re-querying data sources.
  • Summarization of file contents: To generate concise summaries from a large number of files, as demonstrated by the example provided.

Key capabilities

  • Persistent Python REPL environment
  • Variables survive across conversation turns
  • Only print() output enters context
  • Tmux-backed session management
  • Supports Claude Code, OpenAI Codex, Gemini CLI, Cursor, GitHub Copilot, OpenCode, and other Agent Skills compatible tools.

Example prompts

  • "Analyze the TypeScript files in this directory and print a summary of file counts per directory."
  • "Process these API responses and calculate the average response time; then print the result."
  • "Write Python code to glob all .ts files, group them by directory, and print a sorted list of directories with their file counts."

Tips & gotchas

  • Requires tmux and python3 (version 3.8 or higher) to be installed. Most Linux/macOS systems and WSL on Windows have these pre-installed.
  • The scratchpad prevents raw data from entering the main context, which can make debugging more challenging if you need to inspect intermediate values.