Skip to content
TrustedSkillsbeta
Back to all skills

Verification

Listed
rustydotwtf·vlatest·other·MIT

This Verification skill checks claims against reliable sources, ensuring accuracy and reducing misinformation – a crucial tool for critical thinking.

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 whetstoneresearch/doppler-skills --skill verification -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

rustydotwtf

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 failed 2 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 4 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.etherscan.io, foundry.paradigm.xyz, prod.indexer.doppler.lol, test.indexer.doppler.lol.

    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.

    Hosts contacted

    foundry.paradigm.xyzundeclaredapi.etherscan.ioundeclaredprod.indexer.doppler.lolundeclaredtest.indexer.doppler.lolundeclared

    What it found (3 of 10)

    • skills/verification/references/CAST.md:9contacts foundry.paradigm.xyz
      curl -L https://foundry.paradigm.xyz | bash
    • skills/verification/references/EXPLORERS.md:46contacts api.etherscan.io
      curl "https://api.etherscan.io/api\
    • skills/verification/references/EXPLORERS.md:53contacts api.etherscan.io
      curl "https://api.etherscan.io/api\

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 1 place.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • skills/verification/references/CAST.md:9remote script piped into a shell
      curl -L https://foundry.paradigm.xyz | bash

  • 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 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.

  • Pinned to a commit: passed

    Scanned rustydotwtf/doppler-skills at 4f654fea1f.

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

Commit
4f654fea1f
Manifest
skills/verification/SKILL.md
Scanned
5 files, 1,575 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 provides a mechanism to verify information against external sources. It can check facts, validate claims, and confirm details presented in text or other data. The agent uses this capability to ensure accuracy and reliability of its outputs, reducing the risk of propagating misinformation.

When to use it

  • Fact-checking research: Before presenting findings from online research, verify key statistics and dates.
  • Validating user input: Confirm details provided by a user before acting upon them (e.g., verifying an address).
  • Confirming email addresses or phone numbers: Ensure the validity of contact information during registration processes.
  • Cross-referencing claims in reports: When generating summaries, verify important assertions against original documents.

Key capabilities

  • Fact checking
  • Claim validation
  • Data confirmation
  • External source verification

Example prompts

  • "Verify the population of Tokyo."
  • "Is it true that the Earth is flat?"
  • "Check if this email address, '[email protected]', is valid."

Tips & gotchas

The accuracy of the verification depends on the availability and reliability of external data sources. Results should always be critically evaluated; this skill provides a check but doesn't guarantee absolute truth.