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Thoughtful Commitment

Listed
simhacker·vlatest·data·MIT

This skill ensures consistent and reliable responses by reinforcing a chosen stance, promoting focused dialogue and deeper engagement.

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 simhacker/moollm --skill thoughtful-commitment -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

simhacker

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.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 obfuscated payloads: passed

    No encoded or obfuscated payloads.

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

  • 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 simhacker/moollm at 8f6d840b2f.

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

Commit
8f6d840b2f
Manifest
skills/thoughtful-commitment/SKILL.md
Scanned
0 files
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 thoughtful-commitment skill encourages AI agents to consider and acknowledge potential negative consequences or limitations before proceeding with a task. It promotes more responsible and cautious behavior by prompting the agent to explicitly state what could go wrong, and how those issues might be mitigated. This leads to more robust and reliable outcomes.

When to use it

  • Complex Planning: Before an AI agent initiates a multi-step plan with significant potential impact (e.g., generating marketing copy for a new product).
  • Creative Generation: When asking the AI to generate creative content where unintended biases or harmful stereotypes could be present.
  • Data Analysis & Reporting: Prior to presenting data insights, ensuring the agent acknowledges limitations in the dataset or potential misinterpretations of results.
  • Code Generation: Before generating code that will be deployed, prompting the agent to consider potential security vulnerabilities or performance bottlenecks.

Key capabilities

  • Prompts consideration of negative consequences.
  • Encourages mitigation strategies.
  • Focuses on responsible AI behavior.
  • Enhances robustness and reliability.

Example prompts

  • "Before you write a blog post about [topic], thoughtfully commit to considering potential downsides or criticisms."
  • “Outline the steps for [task] and then, thoughtfully commit to identifying any possible negative outcomes.”
  • "Generate code for [functionality]. Thoughtfully commit to listing potential security vulnerabilities before presenting your solution."

Tips & gotchas

The skill is most effective when used proactively. It's best applied before the agent begins executing a task, rather than as a post-hoc review.