Skills by risk · page 242
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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Cite this page
ModelsAtlas. “Highest-trust agent skills”. Retrieved 30 Oct 2026. https://modelsatlas.com/skills/trusted/page/242
higgsfield-ai/skills
Create high-click-through YouTube thumbnails and vertical video covers through the Higgsfield CLI. Builds a truthful information-gap concept, preserves up to three referenced identities, supports logos and controlled…
uni-stack/uniwind
Uniwind — Tailwind CSS v4 styling for React Native. Use when adding, building, or debugging components in a React Native project that uses Uniwind classNames. Covers setup, Metro config, global.css, theming, className…
uni-stack/uniwind
Migrate a React Native project from NativeWind to Uniwind. Use when the user wants to replace NativeWind with Uniwind, upgrade from NativeWind, switch to Uniwind, or mentions NativeWind-to-Uniwind migration. Handles…
openkursar/hello-halo
7×24 Desktop AI Agent for Everyone. Visual AI assistant with remote access, file management, and built-in AI browser.
openkursar/hello-halo
Must be invoked when the user asks to commit code, submit code, or any similar request.
openkursar/hello-halo
Must be invoked when the user asks to commit review.
openkursar/hello-halo
Called only when actively triggered by the user..
openkursar/hello-halo
important!!! Must read and follow before writing or editing any code, and equally before planning, designing, or discussing architecture for this codebase (module placement, directory layout, IPC channels, theme, i18n)…
fynnfluegge/agtx
Execute an approved implementation plan. Implement the changes, then write a summary to .agtx/execute.md and stop.
fynnfluegge/agtx
Plan a task implementation. Analyze the codebase, create a detailed plan, write it to .agtx/plan.md, then stop and wait for user approval before making any changes.
fynnfluegge/agtx
Explore the codebase to understand a task before planning. Write findings to .agtx/research.md and stop. This is a read-only exploration — do not modify any files.
fynnfluegge/agtx
Self-review completed work. Check for correctness, edge cases, and code quality. Write review to .agtx/review.md and stop.
fynnfluegge/agtx
Enter brainstorm mode to explore a feature or enhancement idea. Stays in discussion mode only — no planning, no implementation. Use /agtx:sweep when ready to push outcomes to the board.
fynnfluegge/agtx
Sweep this conversation into agtx tasks and push them to the kanban board. Use when the user wants to capture, decompose, or hand off conversation results to the agtx board.
github/gh-stack
Manages stacked PRs and splits multi-part work into reviewable branches with gh-stack. Use for stack creation, viewing, edits, push, submit, sync, rebase, merge, or checkout; when asked to split or isolate work for…
vercel-labs/openreview
Upgrade Next.js to the latest version following official migration guides and codemods
vercel-labs/openreview
Next.js 16 Cache Components - PPR, use cache directive, cacheLife, cacheTag, updateTag
vercel-labs/openreview
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
avdlee/swift-concurrency-agent-skill
Diagnose Swift Concurrency issues, refactor callback-based code to async/await, and guide Swift 6 migration when working with tasks, actors, @MainActor, Sendable, data races, thread safety, or concurrency-related…
hamelsmu/evals-skills
Build a custom browser-based annotation interface tailored to your data for reviewing LLM traces and collecting structured feedback. Use when you need to build an annotation tool, review traces, or collect human labels.
hamelsmu/evals-skills
Help the user systematically identify and categorize failure modes in an LLM pipeline by reading traces. Use when starting a new eval project, after significant pipeline changes (new features, model switches, prompt…
hamelsmu/evals-skills
Audit an LLM eval pipeline and surface problems: missing error analysis, unvalidated judges, vanity metrics, etc. Use when inheriting an eval system, when unsure whether evals are trustworthy, or as a starting point…
hamelsmu/evals-skills
Guides evaluation of RAG pipeline retrieval and generation quality. Use when evaluating a retrieval-augmented generation system, measuring retrieval quality, assessing generation faithfulness or relevance, generating…
hamelsmu/evals-skills
Create diverse synthetic test inputs for LLM pipeline evaluation using dimension-based tuple generation. Use when bootstrapping an eval dataset, when real user data is sparse, or when stress-testing specific failure…