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Checkin

Checked
asiaostrich·vlatest·other

This "Checkin" skill automates appointment confirmations & reminders, streamlining scheduling and reducing no-shows for improved efficiency.

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 asiaostrich/universal-dev-standards --skill checkin -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

asiaostrich

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 asiaostrich/universal-dev-standards at 2c7106b0d4.

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

Commit
2c7106b0d4
Manifest
skills/checkin-assistant/SKILL.md
Scanned
6 files, 1,360 lines
Copies in repo
3 — all of them scanned
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 checkin skill provides a simple mechanism to register and track events or status updates. It allows an AI agent to record actions taken, changes in state, or other relevant information. This can be useful for auditing, debugging, or providing feedback on the agent's performance.

When to use it

  • Tracking progress: Use checkin to mark milestones in a complex task, such as "File created," or "Database updated."
  • Reporting status: An agent can report its current state using checkin, like "Waiting for user input" or "Processing data."
  • Logging events: Record significant actions taken by the agent, such as “API call initiated” or “Error encountered.”
  • Debugging workflows: Use checkins to create a log of steps taken during a process.

Key capabilities

  • Registers events/status updates
  • Tracks actions taken
  • Records changes in state
  • Provides feedback on agent performance

Example prompts

  • "Checkin: Task completed successfully."
  • "Record event: User logged out."
  • "Status update: Waiting for API response."

Tips & gotchas

The checkin skill is designed to be lightweight and straightforward. There are no specific prerequisites, but integrating the check-in data into a larger logging or monitoring system will require additional configuration.