Skills by risk · page 380
Highest-trust agent skills
9,826 skills rated SAFE with grade A or B, best score first. All are grade B today: grade A needs a sandboxed run we do not do for skills yet. Ties are broken by stars, so a repository with many skills can fill a page.
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ModelsAtlas. “Highest-trust agent skills”. Retrieved 30 Oct 2026. https://modelsatlas.com/skills/trusted/page/380
nWave-ai/nWave
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,…
nWave-ai/nWave
Detailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement
nWave-ai/nWave
5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance
nWave-ai/nWave
Architectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns. Load when choosing or evaluating architecture styles.
nWave-ai/nWave
Comprehensive architecture patterns, methodologies, quality frameworks, and evaluation methods for solution architects. Load when designing system architecture or selecting patterns.
nWave-ai/nWave
Domain-specific authoritative source databases, search strategies by topic category, and source freshness rules
nWave-ai/nWave
BDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentation
nWave-ai/nWave
BDD requirements discovery methodology - Example Mapping, Three Amigos, conversational patterns, Given-When-Then translation, and collaborative specification
nWave-ai/nWave
Structured divergent thinking techniques — HMW framing, SCAMPER, Crazy 8s mechanics, and option diversity guarantees. Enforces strict separation of generation and evaluation phases.
nWave-ai/nWave
nWave concierge — ask any question about methodology, project state, commands, migration, or troubleshooting. Read-only, contextual answers.
nWave-ai/nWave
All /nw-* commands — what they do, when to use them, which agent they invoke. For the buddy agent to help users pick the right command.
nWave-ai/nWave
How the nWave buddy agent reads a project to answer questions — detection, order of inspection, and citation discipline.
nWave-ai/nWave
Single Source of Truth detection — where truth lives in an nWave repo and how to avoid contradicting it.
nWave-ai/nWave
Wave methodology knowledge for the buddy agent — what each wave does, its inputs and outputs, and how to route questions.
nWave-ai/nWave
Bug fix workflow: root cause analysis → user review → regression test + fix via TDD
nWave-ai/nWave
Canary skill for auto-injection detection
nWave-ai/nWave
CI/CD pipeline design methodology, deployment strategies, GitHub Actions patterns, and branch/release strategies. Load when designing pipelines or deployment workflows.
nWave-ai/nWave
Cross-agent collaboration protocols, workflow handoff patterns, and commit message formats for TDD/Mikado/refactoring workflows
nWave-ai/nWave
Documentation collapse anti-patterns - detection rules, bad examples, and remediation strategies for type-mixing violations
nWave-ai/nWave
Best practices for command definition files - size targets, declarative template, anti-patterns, and canonical examples based on research evidence
nWave-ai/nWave
Step-by-step workflow for converting bloated command files to lean declarative definitions
nWave-ai/nWave
Detects current wave progress for a feature and resumes at the next step. Scans docs/feature/ for artifacts.
nWave-ai/nWave
Data architecture patterns (warehouse, lake, lakehouse, mesh), ETL/ELT pipelines, streaming architectures, scaling strategies, and schema design patterns
nWave-ai/nWave
Database comparison catalogs, RDBMS vs NoSQL selection criteria, CAP/ACID/BASE theory, OLTP vs OLAP, and technology-specific characteristics