Install payload
Install payload is sparse; verify before rollout decisions.
42% (5/12)
Source-backed filter active — add entries to compare trust side by side.
Trust signals across 40 of 211 results
1 trust signal differs in this sample: Submitter
Signals differ on Submitter — add entries to compare before you install.
Rollout signal scan
Biggest gaps: metadata review, package integrity. 0 entries have 2+ required gaps.
Install payload
Install payload is sparse; verify before rollout decisions.
42% (5/12)
Adoption queue
40/211 visible results are in hold tier and need mitigation before adoption.
No required blockers for this preset.
64/100
Collect package checksum or signed artifact information.
mcp/packrift-mcp-server · trust review · confidence 83%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
skills/dotnet-agent-skills · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
skills/addy-osmani-agent-skills · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
tools/ag2-agent-framework · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
agents/agent-observability-sre-agent · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
skills/agent-skills-cross-platform-adapter-capability-pack · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
tools/agentscope · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/agentset-mcp-server · trust review · confidence 67%
Decision confidence
40/211 results are low-confidence and need review before adoption.
Address Package integrity before broader rollout.
68/100
mcp/packrift-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
skills/dotnet-agent-skills · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
skills/addy-osmani-agent-skills · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
tools/ag2-agent-framework · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
agents/agent-observability-sre-agent · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
skills/agent-skills-cross-platform-adapter-capability-pack · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
tools/agentscope · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/agentset-mcp-server · trust review
Freshness distribution
Median age 19 days; all 12 scanned entries are within 90 days.
Theme distribution
108 distinct themes with no dominant one. Most common: rag, mcp, python.
108 distinct themes across 24 scanned
Apache-2.0 Python framework for building visible, controllable, production AI agents and multi-agent services with event streaming, permission controls, workspaces, sandbox backends, middleware, MCP support, Mem0 memory, agent teams, and multi-tenant multi-session serving.
Official Agentset MCP server that lets Claude retrieve cited knowledge-base results from an Agentset namespace through the `knowledge-base-retrieve` tool, with optional tenant scoping and custom tool descriptions.
Keep project knowledge in plain Markdown while a deterministic CLI maintains folder indexes, cross-links, structure checks, and scoped map, search, and read commands for agents.
Open-source Python framework for building real-time voice and multimodal conversational agents, orchestrating speech-to-text, LLM, text-to-speech, voice activity detection, and transports as a composable pipeline with pluggable providers.
Open-source all-in-one AI framework for semantic search, LLM orchestration, and language-model workflows, built around an embeddings database that unions sparse and dense vector indexes, graph networks, and relational databases, with pipelines, workflows, agents, and web and MCP APIs.
Lightweight, modular open-source Python framework for building agentic AI pipelines from atomic, composable components (agents, tools, context providers), built on Instructor and Pydantic.
Open-source, LLM-friendly Python web crawler and scraper that turns web pages into clean, LLM-ready Markdown for RAG, agents, and data pipelines, with an async browser pool, caching, structured extraction, and adaptive deep crawling.
Modular open-source Python framework for building AI agents and LLM workflows with structures, tools, memory, drivers, and RAG engines, from Griptape.
Open-source Python framework from Prefect for structured outputs and agentic AI workflows, with tasks, specialized agents, threads, and extract/cast/classify/generate utilities.
Open-source memory layer for AI agents and assistants that extracts, stores, and retrieves user, session, and agent memories so applications can personalize and remember across interactions, with Python and TypeScript SDKs and pluggable vector, graph, and key-value stores.
Addy Osmani's production-grade Agent Skills pack for AI coding agents, with lifecycle slash commands, engineering workflow skills, review personas, quality gates, and cross-agent setup guidance for Claude Code, Cursor, Gemini CLI, Antigravity CLI, OpenCode, GitHub Copilot, and other agents.
Open-source Python AgentOS and multi-agent framework, evolved from AutoGen, for building conversable agents, group chats, swarms, human-in-the-loop workflows, tool use, RAG, code execution, and provider-backed agent systems.
Local-first AI application for private chat, document RAG, workspace agents, MCP-compatible tools, model routing, memories, scheduled tasks, multimodal workflows, multi-user Docker deployments, and self-hosted agent automation.
MCP server and Agent Skill from better-auth for searching, recommending, retrieving, batching, and syncing Iconify-powered SVG icons from 200,000+ icons across 150+ collections.
MIT-licensed CDP browser-control harness from Browser Use that lets Claude Code, Codex, and other coding agents connect to a real or cloud Chrome browser, use screenshots and coordinate clicks, edit task-specific helpers, and optionally learn reusable domain skills for web automation workflows.
Independent community library of 754 cybersecurity Agent Skills mapped to MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, and NIST AI RMF for defensive security analysis, incident response, forensics, cloud security, SOC operations, and governed red-team workflows.
MIT-licensed Agent Skills collection for context engineering, harness engineering, multi-agent architectures, filesystem context, memory systems, tool design, evaluation, hosted agents, and production agent operating loops for Claude Code, Cursor, Codex, and Open Plugins-compatible agent tools.
MIT-licensed infrastructure for computer-use agents: background desktop drivers, MCP server support, Python SDKs, local/cloud sandboxes, macOS, Windows, Linux, Android, Cua Bench, GUI automation skills, and Lume virtualization for agents that see, click, type, and verify real desktops.
Official Dart team Agent Skills for AI coding agents working on Dart unit tests, CLI apps, coverage, runtime errors, mocks, package conflicts, static analysis, Native Assets, FFI, ffigen, and pattern matching.
ByteDance long-horizon super-agent harness for research, coding, creation, subagents, skills, memory, sandboxes, MCP server support, messaging channels, LangGraph workflows, and Docker or local development.
Production-ready LLM app and agentic workflow platform with visual workflows, RAG pipelines, agent capabilities, model management, observability, prompt IDE, APIs, Dify Cloud, and self-hosted Docker Compose deployment.
Official Expo AI agent skills for building, deploying, upgrading, observing, and debugging Expo and React Native apps with Expo Router, EAS, native modules, App Clips, Tailwind, native UI, and EAS Update insights.
Visual low-code builder for AI agents, RAG apps, chatbots, agentic workflows, multi-agent systems, LangChain-based components, API-serving flows, and self-hosted deployments through npm, Docker, and cloud platforms.
Official Flutter team Agent Skills for AI coding agents building Flutter apps, fixing layout issues, adding widget and integration tests, creating widget previews, applying layered architecture, routing, localization, JSON serialization, and HTTP workflows.
Google Agents CLI skill suite for coding agents that build, scaffold, evaluate, deploy, publish, and observe ADK agents on Gemini Enterprise Agent Platform, Agent Runtime, Cloud Run, GKE, and Google Cloud.
Google Agent Skills catalog for AI agents working with Google Cloud, Gemini Enterprise Agent Platform, Gemini APIs, Skill Registry, Cloud Run, BigQuery, Firebase, GKE, Cloud SQL, AlloyDB, gcloud, auth, onboarding, and Well-Architected Framework guidance.
Agent Skills and plugin packs for Google Stitch design workflows, including code-to-design, design generation, design-system extraction, React and React Native conversion, shadcn/ui guidance, Remotion walkthroughs, and prompt enhancement.
Apache-2.0 `gws` command-line tool for Google Workspace APIs with structured JSON output, dynamic Discovery API commands, npm and release installers, Gemini CLI extension metadata, and 100+ bundled Agent Skills.
Official GreenSock GSAP AI Skills for coding agents that need correct GSAP tweens, timelines, ScrollTrigger, React cleanup, plugins, utilities, framework lifecycle guidance, and animation performance patterns.
Nous Research AI agent with terminal UI, messaging gateway, skills, memory, MCP integration, scheduled automations, subagents, terminal backends, OpenClaw migration, model switching, and persistent cross-session workflows.