Test Hardening

SkillDev tools

Strengthen test coverage around changed behavior, edge cases, and regressions without writing noisy or brittle tests.

Use Test Hardening in Claude, ChatGPT or Ahel Desktop

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Also: Claude Code · Cursor · Codex

Then ask your AI: use the Test Hardening skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Test HardeningStart free

What this skill tells your AI

The instructions your AI receives, as published by hoavdc/codexkit in skills/codexkit-test-hardening/SKILL.md and read by Ahel’s review.

Use this skill when code changes are underway or just landed and you need tests that actually protect behavior.

Focus areas

  • changed execution paths
  • high-risk conditionals
  • error handling
  • serialization or contract boundaries
  • regressions that can silently return

Workflow

  1. Identify the behavior that must remain true.
  2. Choose the narrowest test level that can protect it.
  3. Cover happy path, failure path, and one realistic edge.
  4. Verify tests fail before the fix when possible.
  5. Keep fixtures readable and cheap to maintain.

Avoid

  • snapshot-heavy tests with weak intent
  • restating implementation details instead of behavior
  • adding e2e coverage when a unit or integration test is enough

Quality Criteria

  • Every finding is tied to a specific evidence source (log, test, metric)
  • Pass/fail criteria are binary and measurable — no subjective judgments
  • Severity levels are assigned with clear thresholds
  • Remediation steps are provided for all critical and high findings

Verification (4C)

CheckQuestion
CorrectnessAre all pass/fail criteria applied against the correct standard or rule?
CompletenessWere all required dimensions or checklist items evaluated?
Context-fitDoes the verification scope match the actual risk level of the deliverable?
ConsequenceIf this passed verification but had a hidden flaw, what is the worst-case impact?

Edge Cases

  • Incomplete data for full assessment — Document which checks were limited and flag for re-verification when data becomes available.
  • Ambiguous pass/fail criteria — Request clarification from the standard owner before scoring. Mark as 'Needs Review'.
  • Multiple overlapping standards — Identify the governing standard and note where others diverge.

Changelog

  • v1.0.0 — Initial release

Signals

GitHub stars
25
Forks
13
Last commit
Oct 2026
Advanced
Item type
skill
Key
codexkit-test-hardening
Source
github.com/hoavdc/codexkit