Skills by risk · page 382
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/382
nWave-ai/nWave
Critique dimensions, severity framework, verdict decision matrix, and review output format for documentation assessment reviews
nWave-ai/nWave
Use when a DELIVER roadmap already exists and you need to dispatch exactly one identified step through its TDD cycle. Use nw-roadmap to create the plan, nw-deliver for the whole wave, and nw-continue to resume at the…
nWave-ai/nWave
Fast-forwards through remaining waves end-to-end without stopping for review between waves.
nWave-ai/nWave
Archives a completed feature to docs/evolution/, migrates lasting artifacts to permanent directories, and cleans up the temporary workspace. Use after all implementation steps pass and mutation testing completes.
nWave-ai/nWave
Toyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniques
nWave-ai/nWave
Creates new specialized agents using the 5-phase workflow (ANALYZE > DESIGN > CREATE > VALIDATE > REFINE). Use when building a new AI agent or validating an existing agent specification.
nWave-ai/nWave
TLA+ and PlusCal for specifying distributed system invariants. Decision heuristics for when formal verification adds value, key patterns, state explosion management, and alternatives comparison.
nWave-ai/nWave
Algebra-driven API design with monoids, semigroups, and interpreters via algebraic equations
nWave-ai/nWave
Clojure language-specific patterns, data-first modeling, REPL-driven development, and spec
nWave-ai/nWave
Domain modeling with algebraic data types, smart constructors, and type-level error handling
nWave-ai/nWave
F# language-specific patterns, Railway-Oriented Programming, and Computation Expressions
nWave-ai/nWave
Haskell language-specific patterns, GADTs, type classes, and effect systems
nWave-ai/nWave
Hexagonal architecture patterns with pure core and side-effect shell for functional codebases
nWave-ai/nWave
Kotlin language-specific patterns with Arrow, Raise DSL, and coroutine-based effects
nWave-ai/nWave
Core functional programming thinking patterns and type system foundations, language-agnostic
nWave-ai/nWave
Scala 3 language-specific patterns with ZIO, Cats Effect, and opaque types
nWave-ai/nWave
Naming conventions, API ergonomics, and usability patterns for functional code
nWave-ai/nWave
5-layer agent output validation, I/O contract specification, vertical slice development, and test doubles policy with per-layer examples
nWave-ai/nWave
Git change frequency hotspot analysis — find the most-changed files in your codebase
nWave-ai/nWave
Infrastructure as Code patterns (Terraform, Kubernetes), observability design (SLOs, metrics, alerting, dashboards), and pipeline security stages. Load when designing infrastructure, observability, or security scanning.
nWave-ai/nWave
Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design
nWave-ai/nWave
Evidence collection methods, problem categorization, analysis techniques, and solution design patterns
nWave-ai/nWave
JTBD methodology for extracting real jobs behind feature requests — job statements, abstraction layers, first-principles extraction, ODI outcome statements, and opportunity scoring
nWave-ai/nWave
Translating JTBD analysis to BDD scenarios - job story to Given-When-Then patterns, forces-based test discovery, job-map-based test discovery, and property-shaped criteria