Skip to content
TrustedSkillsbeta
Back to all skills

Verification Loop

Checked
affaan-m·vlatest·other·MIT

This Verification Loop skill automatically checks generated content against a source, ensuring accuracy and reducing errors for reliable outputs.

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 affaan-m/ecc --skill verification-loop -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

affaan-m

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 affaan-m/everything-claude-code at d3b8a3e908.

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

Commit
d3b8a3e908
Manifest
skills/verification-loop/SKILL.md
Scanned
4 files, 346 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 verification-loop skill enables AI agents to systematically validate the accuracy of their outputs through iterative checks. It ensures that responses are consistent, factually correct, and aligned with user expectations by looping back to verify results against predefined criteria or external sources.

When to use it

  • When generating complex or sensitive content where accuracy is critical (e.g., legal advice, medical information).
  • During data analysis tasks to confirm the reliability of conclusions drawn from datasets.
  • In customer service scenarios to ensure responses are consistent with company policies and user needs.
  • Before publishing content to verify that it meets quality standards and avoids misinformation.

Key capabilities

  • Iterative validation process for AI-generated outputs
  • Integration with external data sources for fact-checking
  • Customizable verification criteria based on user input
  • Looping back to refine or correct responses as needed

Example prompts

  • "Verify the accuracy of this financial report using up-to-date market data."
  • "Check if this medical advice aligns with current clinical guidelines and provide corrections if necessary."
  • "Ensure that the response to the user’s question is consistent with our company's policies."

Tips & gotchas

  • Ensure external verification sources are reliable and accessible for accurate checks.
  • Be mindful of potential delays caused by iterative validation, especially in time-sensitive tasks.