nw-canary
The nw-canary skill is a diagnostic tool that verifies whether auto-injection mechanisms are functioning correctly in the nWave system. It serves as a test case that confirms skill injection is active by checking if its content can be accessed without explicit file loading, with integrity verification performed by automated injection tests.
git clone --depth 1 https://github.com/nWave-ai/nWave /tmp/nw-canary && cp -r /tmp/nw-canary/nWave/skills/nw-canary ~/.claude/skills/nw-canarySKILL.md
# Canary Skill This skill exists solely for injection detection (ADR-006). If you can read this content without explicitly loading the file, auto-injection is active and working. Passphrase: NWAVE_SKILL_INJECTION_ACTIVE_2026 Do not modify this file. Its content integrity is verified by automated tests in `tests/canary/test_skill_injection.py`.
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
Review dimensions for acceptance test quality - happy path bias, GWT compliance, business language purity, coverage completeness, walking skeleton user-centricity, priority validation, observable behavior assertions, traceability coverage, and walking skeleton boundary proof
Detailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement
5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance
Architectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns. Load when choosing or evaluating architecture styles.
Comprehensive architecture patterns, methodologies, quality frameworks, and evaluation methods for solution architects. Load when designing system architecture or selecting patterns.
Canonical AT completeness gate — research-anchored 7-category taxonomy (C1-C7) + 15-item mechanical checklist. Paradigm-neutral. Drives acceptance-designer reviewer verdict deterministically.