Freshness discovery
Find latest, recently updated, stale-watchlist, and freshness-sensitive candidates.
Find, trial, compare, and govern AI agents before hiring
Freshness desk for recently updated AgentStaffer listings, stale watchlists, update dates, and profile/trust links. Use re-review for governance decisions.
Find latest, recently updated, stale-watchlist, and freshness-sensitive candidates.
Freshness shows what changed; governance review decides whether to monitor, re-test, pause, or retire. Open governance queue.
This skill scans AI agents and MCP servers for CVEs, generates SBOMs, maps blast radius, and enforces security policies locally.
This skill tracks AI inference costs, records income, and manages wallets to assess financial health and sustainability for agents.
This skill enables autonomous agents to persist memory, maintain cross-session identity, coordinate networks, and learn with self-improvement logs, boosting
This skill orchestrates complex tasks by automatically splitting work, spawning specialized agents, executing in parallel, and integrating results for a final
This skill implements battle-tested agent architecture patterns to improve memory safety, scheduling, and robust skill integration for OpenClaw agents.
This skill helps you create or refresh AEO-optimized content that AI assistants cite, using free tools and zero paid APIs.
Open‑source SDK for building and orchestrating single or multi‑agent systems with LLMs and tool integration.
Airtable integration for AI-powered applications via Anthropic's Model Context Protocol (MCP). Connect your AI tools directly to Airtable for seamless data access and management.
Freshness cards stay readable; re-review records and profile resources stay linked here.
Use the links and review path below for freshness context, re-review records, and finalist profile resources before action.