Skip to content
TrustedSkillsbeta
Back to all skills

Checklist Generator

Checked
oimiragieo·vlatest·productivity

This tool automatically creates checklists based on your input, streamlining tasks and ensuring nothing is missed for improved organization.

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 oimiragieo/agent-studio --skill checklist-generator -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

oimiragieo

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 oimiragieo/agent-studio at 64b580eab2.

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

Commit
64b580eab2
Manifest
.claude/skills/checklist-generator/SKILL.md
Scanned
10 files, 645 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

This skill automatically generates quality checklists to ensure thorough validation before task completion. It combines established IEEE 1028 standards (making up 80-90% of the checklist items) with project-specific context identified by the AI agent (contributing 10-20%). The result is a systematic approach to quality assurance, tailored to the specifics of your project.

When to use it

  • Before completing implementation tasks
  • During code review processes
  • In the QA validation phase
  • As part of pre-commit verification steps
  • Before marking tasks as complete

Key capabilities

  • IEEE 1028 Base: Includes standard quality review items covering Code Quality, Testing, Security, Performance, Documentation, Error Handling. Examples include checking for code duplication, ensuring test coverage ≥ 80%, and verifying input validation.
  • Contextual Enhancement: Analyzes project files to identify frameworks (React, Vue, Angular), languages (TypeScript, Python), patterns (REST API), and infrastructure (Docker) to add relevant, AI-generated checklist items.
  • Systematic Validation: Provides a comprehensive quality coverage approach by combining universal standards with project-specific considerations.

Example prompts

  • "Generate a quality checklist for this React TypeScript project."
  • "Create a checklist based on IEEE 1028 standards for code review."
  • “Give me a quality checklist before I mark this task complete.”

Tips & gotchas

  • The skill relies on analyzing project files to understand the context. Ensure these files are accessible to the AI agent.
  • The generated checklists will be primarily based on IEEE 1028 standards, with approximately 10-20% of items tailored to the specific project context.