smithery.ai

analyzing-test-effectiveness

Use to audit test quality with SRE scrutiny - identifies weak tests, missing cases, and creates task docs for improvements

First seen Apr 21, 2026

Installation

$ npx skills add https://smithery.ai

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More details

Agent compatibility

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,375 B
  • docs SUMMARY.md 266 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

<skilloverview> High coverage is not the goal. Tests must catch real failures and justify their maintenance cost. </skilloverview>

<rigiditylevel> MEDIUM FREEDOM - Follow the audit flow strictly, but adapt the exact categories and examples to the codebase. </rigiditylevel>

<quick_reference>

  1. Inventory the tests
  2. Classify them as strong, weak, or misleading
  3. Identify missing edge cases
  4. Create or update a task directory for test-quality improvements

</quick_reference>

<whentouse>

  • Coverage looks good but bugs still escape
  • A test suite feels noisy or low-signal
  • You want a quality-improvement backlog for tests

</whentouse>

<the_process>

1. Audit the suite

Look for:

  • tautological tests
  • mock-heavy tests that prove little
  • weak assertions
  • missing edge cases

2. Explain each finding

For every weak area, say what real bug it would or would not catch.

3. Turn findings into tracked work

Create or update a task directory that captures:

  • which tests to remove
  • which tests to strengthen
  • which missing scenarios to add

4. Refine before execution

Use sre-task-refinement to harden the improvement plan before implementation. </the_process>