Question 1

How does this skill prevent an agent from falsely claiming a task is complete?

Accepted Answer

This skill prevents 'hallucinated completion' by requiring raw command outputs, logs, and status codes. Instead of an agent simply claiming a task is done, it must provide verifiable evidence from unit tests, API responses, and browser audits.

Question 2

Do I need to configure specific testing frameworks for this skill to work?

Accepted Answer

Universal Verification is designed to detect your existing stack (like Jest, Pytest, or Playwright) and run the appropriate commands automatically. It requires the agent to have access to a terminal environment where these tools are installed and executable.

Question 3

Does this skill handle frontend-specific checks like layout shifts or accessibility?

Accepted Answer

Yes, it includes visual and accessibility audits that use browser automation to check for layout breakage, keyboard navigability, and color contrast. It ensures that UI changes meet modern standards rather than just 'looking right' to the agent.

Question 4

Which AI agents or IDE extensions are compatible with this skill?

Accepted Answer

The skill is compatible with most advanced AI agents that have file system and terminal access, such as Claude Dev, AutoGPT, or custom LangChain implementations. It functions as a supervisory layer that intercepts the 'task complete' signal until evidence is provided.

Question 5

What happens if my environment doesn't support one of the six verification layers?

Accepted Answer

If your environment lacks specific credentials or tools (e.g., a missing API key for a production-only test), the skill will flag these layers as 'unverified' in the final report rather than failing the entire process. This allows you to see exactly which parts of the code remain unproven.

Question 6

What happens if the agent doesn’t have browser or terminal access?

Accepted Answer

Those layers are marked SKIPPED / UNPROVEN and the overall status becomes PARTIAL. The skill never invents evidence. It only reports what it can actually run.

Question 7

Can this skill force verification even when I say “just ship it”?

Accepted Answer

No. If you explicitly say “skip verification” or “just claim it”, the skill steps aside. Otherwise it enforces the proof requirement.

Question 8

Does it work with any agent?

Accepted Answer

It works with any agent that supports the open SKILL.md standard and can use tools (browser, shell, network). It has no hard dependency on a specific model or platform.

Question 9

Will it slow my agent down on every task?

Accepted Answer

No. It only activates when the agent is about to claim completion, or when you explicitly ask to verify / prove / check the work. Routine coding stays fast.

Question 10

What if there are no existing tests for the new feature?

Accepted Answer

The skill requires the agent to write and run the missing tests first (partial TDD). It will not accept “it should work” without green tests covering the new behavior.

Question 11

Can it verify UI changes that only exist in a design tool (Figma, etc.)?

Accepted Answer

Only if the change is already implemented in a running page the agent can open. Pure design files without a live implementation cannot be fully verified.

Question 12

What if a layer fails — does the agent keep going?

Accepted Answer

By default it stops on the first hard failure so you can fix the issue. You can tell it to continue collecting evidence if you prefer a full report.

Question 13

Is this just another “write better tests” prompt?

Accepted Answer

No. It is a hard gate. Claims without executable evidence are rejected on the spot. The agent must show real command output, status codes, screenshots, or accessibility results.

Question 14

Can I use this in a CI pipeline or only inside chat?

Accepted Answer

It is designed for agent conversations. You can still use the same verification mindset in CI, but the skill itself runs inside the agent session.

Universal Verification