eng-rigorous-validation

SKILL.md

Rigorous Validation

Intent

  • Ship only when behavior is proven, not assumed.
  • Treat tests, QA scripts, linters, and on-chain/off-chain simulations as first-class deliverables.
  • Capture evidence so reviewers can verify quickly.

Inputs

  1. Canonical test commands (unit, integration, e2e, contract sims, UI snapshots).
  2. Acceptance criteria plus measurable signals (logs, screenshots, transaction hashes).
  3. Migrations/seed data steps required to exercise the change locally.

Workflow

  1. Design tests before coding
    • Specify failing cases and target assertions for each requirement.
    • Align on how to stub external services, wallets, or platform APIs.
  2. Automate and isolate
    • Prefer deterministic, headless test harnesses; avoid manual-only steps.
    • Seed data/fixtures close to tests to prevent global coupling.
  3. Run the full relevant matrix
    • Cover affected platforms (iOS/Android/web), runtimes, or chain environments.
    • Capture artifacts (logs, screenshots, traces) for any non-deterministic checks.
  4. Track outcomes
    • Record exact commands run and their commit hash in the PR or issue.
    • File follow-ups for flaky tests before merging.

Verification

  • All targeted tests green and documented; no TODOs or skipped suites without owner sign-off.
  • Static analysis, type-checking, formatters, and contract analyzers pass.
  • Evidence (artifacts, hashes, screenshots) attached or linked for reviewer inspection.
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