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Checkpoint

Checked
corygabrielsen·vlatest·other

The Checkpoint skill pauses execution to evaluate conditions, ensuring critical steps are met before proceeding – vital for robust automation.

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 corygabrielsen/skills --skill checkpoint -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

corygabrielsen

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 corygabrielsen/skills at f6fe7547d6.

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

Scanned
1 file, 94 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 corygabrielsen-checkpoint skill allows an AI agent to pause its current task and save its progress. It can then resume from that saved state later, ensuring work isn't lost due to interruptions or errors. This functionality is particularly useful for long or complex tasks where frequent saving is beneficial.

When to use it

  • Long-form writing: Save drafts of articles, stories, or reports periodically to avoid losing significant progress.
  • Complex coding projects: Checkpoint code at various stages to enable easy rollback if errors are introduced.
  • Data analysis pipelines: Preserve intermediate results in data processing workflows for debugging and reproducibility.
  • Multi-step research tasks: Save findings and analyses after each step of a larger investigation.

Key capabilities

  • Save current state
  • Resume from saved state
  • Automatic progress preservation

Example prompts

  • "Checkpoint my current writing draft."
  • "Save the state of this code before I make changes."
  • "Pause and save my progress in analyzing this dataset."

Tips & gotchas

The skill's effectiveness depends on the agent’s ability to accurately represent its internal state. Ensure the agent has a clear understanding of what constitutes "progress" for the task at hand.