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Test Value Auditor

Judges slow, flaky, redundant or brittle tests by the real failure they protect, and trims feedback cost to the smallest verification that covers the risk.

Dev & CodingAdvanced★ 93,130⑂ 6,343AI score 8/10Last updated: Nov 3, 2026

What it does

  • Evaluates tests by the risk they actually protect, treating coverage percentages and green runs as evidence rather than goals.
  • Scopes the work first: read-only audits of existing tests, implementation/pre-commit review limited to the changed behavior, or failure diagnosis (product regression vs. obsolete assertion vs. environment vs. flake).
  • Forces three questions for every added or changed test: which concrete mistake it catches, whether a valid refactor would also fail it, and which existing check already covers it.
  • Supplies an evidence → decision table for adding, reusing, consolidating, retiring or keeping tests.
  • Checks discriminating power (reproduce the original bug, fault injection, fixture isolation) and verifies which tests actually executed, including filters and skips.
  • Guards protections around data loss, permission/trust boundaries, compatibility promises, accessibility and resource leaks from being quietly deleted, skipped or snapshot-refreshed.

Who it's for

  • Teams whose suites have grown slow and flaky and whose CI time is expensive.
  • Developers who let an AI write both the implementation and the tests and worry both share the same wrong assumption.
  • Leads and reviewers who want a consistent rubric for "is this test worth keeping?".

Example uses

  1. "CI takes 18 minutes — audit the most expensive tests": a read-only pass that classifies candidates as changed, retained or awaiting evidence.
  2. Bug-fix PR: reproduce the original failure with the new regression test, confirm it passes after the fix, and state the gap when reproduction isn't possible.
  3. Constantly-breaking snapshot test: assert outcome properties or justified tolerances instead of refreshing the snapshot, so regressions stay visible.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/tt-a1i/archify/HEAD/.agents/skills/test-value/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on AI Skill Mart.
Copy the .agents/skills/test-value folder from the GitHub repo tt-a1i/archify into my ~/.claude/skills/test-value/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/tt-a1i/archify.git /tmp/archify && mkdir -p ~/.claude/skills && cp -r /tmp/archify/.agents/skills/test-value ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal.
  2. Clone the repository: git clone https://github.com/tt-a1i/archify.git /tmp/archify
  3. Create the skills folder: mkdir -p ~/.claude/skills
  4. Copy the skill with its references: cp -r /tmp/archify/.agents/skills/test-value ~/.claude/skills/
  5. Verify with ls ~/.claude/skills/test-value — you should see SKILL.md and a references/ directory.
  6. Restart Claude Code and try a prompt like "audit the slow and flaky tests in this repo".
  7. (Recommended) The skill permits editing itself; if you don't want that, add a project instruction forbidding modifications to skill files.
View source on GitHub ↗License: Apache-2.0