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Verification Before Completion

Checked
lgbarn·vlatest·other·MIT

This skill checks generated content against a source to ensure accuracy and prevent plagiarism – vital 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 lgbarn/devops-skills --skill verification-before-completion -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

lgbarn

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 lgbarn/devops-skills at 8a37cc3fe5.

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

Commit
8a37cc3fe5
Manifest
skills/verification-before-completion/SKILL.md
Scanned
1 file, 126 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 ensures that AI agents perform verification steps before finalizing a task or process. It allows for the definition of checks and validations to be executed, preventing errors and ensuring quality. The agent will pause execution, run defined verifications, and only proceed if all checks pass.

When to use it

  • Automated deployments: Verify infrastructure changes are correctly applied before marking a deployment as complete.
  • Code generation: Validate generated code compiles and passes basic tests before committing it.
  • Data processing pipelines: Confirm data transformations produce the expected output before finalizing results.
  • Configuration management: Ensure configuration files are syntactically correct and adhere to defined standards prior to application.

Key capabilities

  • Definable verification steps
  • Conditional execution based on verification results
  • Pause and resume functionality during verification process
  • Error reporting for failed verifications

Example prompts

  • "Before deploying the new service, run these tests: [list of tests]"
  • "Verify that the generated Python code compiles without errors."
  • "Check if the data transformation script produces the expected output format."

Tips & gotchas

The effectiveness of this skill depends on clearly defined and reliable verification steps. Ensure your verifications accurately reflect the desired outcome to avoid false positives or negatives.