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verification-discipline Skill

AI Agent SkillPythonOpen source

Use when verifying that completed work actually works. Auto-surface during /verify mode, post-implementation review, or before claiming a task is done. Teaches the discipline of testing outcomes vs implementation, the unit/integration/smoke gradient, and what "done" actually means. Published by microsoft in amplifier-bundle-skills.

What is verification-discipline Skill?

Use when verifying that completed work actually works. Auto-surface during /verify mode, post-implementation review, or before claiming a task is done. Teaches the discipline of testing outcomes vs implementation, the unit/integration/smoke gradient, and what "done" actually means. Published by microsoft in amplifier-bundle-skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
26/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Testing
  • Testing use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use verification-discipline Skill

  • Use it for testing.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/amplifier-bundle-skills
  • Skill file: skills/verification-discipline/SKILL.md

What it does

Use when verifying that completed work actually works. Auto-surface during /verify mode, post-implementation review, or before claiming a task is done. Teaches the discipline of testing outcomes vs implementation, the unit/integration/smoke gradient, and what "done" actually means.

Skill instructions

Verification Discipline The Principle Unit tests verify that code-as-written behaves as-written. Smoke and integration tests verify that the system achieves the intended outcome. Those are different questions. You need both. "All unit tests pass" is necessary. It is rarely sufficient. A finding from the field: four consecutive integration-blocking bugs, all of which passed unit tests, all of which would have been caught by a five-minute smoke test on a fresh environment. The bugs were not exotic — they were the cost of declaring "done" too early. The Four Failure Modes 1. Tests written from the implementation outward miss scenarios the code doesn't anticipate. The engineer writes code, then writes tests that exercise the code as written. The tests ask "does this code do what I wrote it to do?" They don't ask "what scenarios does the system need to handle?" 2. Mocks verify shape, not behavior. A mocked dependency returns the value you told it to return. That tells you nothing about whet

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Frequently asked questions

What is verification-discipline?

verification-discipline is a open-source AI agent skill with Copy skill directory. Use when verifying that completed work actually works. Auto-surface during /verify mode, post-implementation review, or before claiming a task is done.

Who is verification-discipline best for?

verification-discipline is best for reusing agent instructions, scripts, and references, testing workflows.

How do I install verification-discipline?

Install or run verification-discipline using Copy skill directory. Check verification-discipline for the latest setup command.

Is verification-discipline actively maintained?

verification-discipline may need a closer maintenance check before production use.

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Stars
10
Forks
9
Last commit
9 days ago
Repository age
5 months
License
MIT

Auto-fetched from GitHub.

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