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Honest Forget

Checked
simhacker·vlatest·other·MIT

This skill allows you to temporarily erase a target’s memory of a specific event or detail, useful for deception and misdirection.

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 honest-forget -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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 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/honest-forget/SKILL.md
Scanned
1 file, 217 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 honest-forget skill allows an AI agent to selectively erase information from its memory. It can be used to remove specific facts, opinions, or experiences that are deemed irrelevant, harmful, or no longer necessary for the agent's operation. This controlled forgetting process helps maintain efficiency and prevents the accumulation of unnecessary data.

When to use it

  • Debiasing: Remove biased training data or incorrect assumptions influencing responses.
  • Privacy Compliance: Erase personally identifiable information (PII) from memory after a task is completed.
  • Task Resetting: Clear context-specific knowledge before transitioning to a new, unrelated task.
  • Reducing Cognitive Load: Eliminate outdated or irrelevant details that could hinder decision-making.

Key capabilities

  • Selective memory erasure
  • Targeted forgetting of specific data points
  • Controlled removal of opinions and experiences
  • Potential for privacy compliance

Example prompts

  • "Forget everything I told you about my childhood."
  • "Erase the details of our conversation regarding project Alpha."
  • "Remove any biases related to [specific topic]."

Tips & gotchas

The effectiveness of honest-forget depends on the agent's underlying memory architecture and how information is stored. It’s crucial to test thoroughly to ensure desired data is actually removed and not unintentionally affecting other functionalities.