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Shell Prompt

Listed
julianobarbosa·vlatest·ai-ml·MIT

Executes shell commands within a prompt, streamlining automation and system interaction for developers and users needing direct command-line access.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add julianobarbosa/claude-code-skills --skill shell-prompt -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

julianobarbosa

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 3 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 undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: starship.rs.

    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.

    Hosts contacted

    starship.rsundeclared

    What it found

    • skills/shell-prompt/references/starship-config.md:34contacts starship.rs
      curl -sS https://starship.rs/install.sh | sh
    • skills/shell-prompt/references/starship-config.md:37contacts starship.rs
      curl -sS https://starship.rs/install.sh | sh -s -- --bin-dir ~/.local/bin

  • No credential access: failed

    Touches credential material in 1 place.

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

    What it found

    • skills/shell-prompt/references/troubleshooting.md:419SSH private keys or config
      # ~/.ssh/config

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 2 places.

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

    What it found

    • skills/shell-prompt/references/starship-config.md:34remote script piped into a shell
      curl -sS https://starship.rs/install.sh | sh
    • skills/shell-prompt/references/starship-config.md:37remote script piped into a shell
      curl -sS https://starship.rs/install.sh | sh -s -- --bin-dir ~/.local/bin

  • 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 obfuscated payloads: passed

    No encoded or obfuscated payloads.

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

  • Pinned to a commit: passed

    Scanned julianobarbosa/claude-code-skills at 57f5fe8c0d.

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

Commit
57f5fe8c0d
Manifest
skills/shell-prompt/SKILL.md
Scanned
7 files, 2,539 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

shell-prompt

What it does

This skill enables AI agents to interact directly with your terminal environment, allowing them to execute commands and manage system tasks autonomously. It bridges the gap between natural language requests and low-level shell operations for efficient workflow automation.

When to use it

  • Automating repetitive file system operations like searching, moving, or deleting files across directories.
  • Running complex data processing pipelines or scripts without manual intervention.
  • Installing software packages or updating dependencies via package managers (e.g., npm, pip, apt).
  • Debugging issues by executing diagnostic commands and interpreting real-time output logs.

Key capabilities

  • Executes arbitrary shell commands in the user's current environment.
  • Supports interactive terminal sessions for multi-step tasks.
  • Captures and returns command output directly to the agent context.
  • Handles errors and provides feedback on command success or failure.

Example prompts

  • "Run a recursive search for all .log files larger than 10MB in /var/log."
  • "Install the latest version of Node.js using your system's package manager."
  • "Execute docker-compose up -d and show me the output if any services fail to start."

Tips & gotchas

Ensure your terminal environment has necessary permissions and tools installed before relying on this skill for administrative tasks. Always review command outputs carefully, as agents may execute destructive operations like rm -rf without explicit confirmation unless configured otherwise.