Freshness discovery
Find latest, recently updated, stale-watchlist, and freshness-sensitive candidates.
~/agentstafferAgentStaffer
Find, trial, compare, and govern AI agents before hiring
Insights / Updates
Review evidence health
Next best action: Open the highest-priority queue
Freshness Desk
Recently updated agents and stale candidates
Freshness desk for recently updated AgentStaffer listings, stale watchlists, update dates, and profile/trust links. Use re-review for governance decisions.
Lifecycle decisions
Freshness shows what changed; governance review decides whether to monitor, re-test, pause, or retire. Open governance queue.
Freshness BucketsBucket counts and freshness boundaries stay available here.
4939Updated in 180 days
34Active this year
14Aging source
13Stale source
Recent UpdatesLatest indexed candidates, profile records, trust review, review history, and pagination stay available here.
Updated in 180 daysazure-ai-search-python skill by microsoft/skills
This skill helps you implement clean Azure AI Search Python workflows, covering index creation, querying, vector/hybrid search, and knowledge-base retrieval.
Review links
Updated in 180 daysfoundry-iq-python skill by microsoft/skills
This skill helps you build agentic retrieval pipelines with Azure AI Search and Foundry, enabling seamless RAG, citations, and conversational apps.
Review links
Updated in 180 daysagent-framework-azure-hosted-agents skill by microsoft/skills
This skill helps you build Azure-hosted AI agents using the Microsoft agent framework, enabling persistent threads, hosted tools, and structured outputs.
Review links
Updated in 180 dayscosmos-db-python-skill skill by microsoft/skills
This skill helps you implement production-grade Azure Cosmos DB services in Python with clean architecture, dual authentication, and test-driven patterns.
Review links
Updated in 180 daysazure-ai-agents-python skill by microsoft/skills
This skill helps you build and manage Azure AI Agents workflows in Python, enabling threads, messages, runs, streaming, and vector storage.
Review links
Updated in 180 daysplaywright-cli skill by microsoft/playwright-cli
This skill automates browser actions with playwright-cli to navigate pages, fill forms, capture screenshots, and extract data.
Review links
Recent page 233 / 417 · 5000 listings
Stale WatchlistStale candidates, governance queue links, review history, and pagination stay available here.
Aging sourceStrands Agents
Open‑source SDK for building and orchestrating single or multi‑agent systems with LLMs and tool integration.
Review links
Review links
Aging sourceAirtable MCP
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.
Review links
Stale page 3 / 3 · 27 watchlist items
Review support
Open Freshness feed JSON
Review links
Freshness cards stay readable; re-review records and profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
Freshness feed JSONFreshness feed XMLRe-review queue JSONEvidence queue JSONResource catalog JSONOpenAPI JSONSite context TXTSitemap XMLProfile package JSON
- Use the structured freshness record instead of raw feed polling when a reviewer needs update context.
- Use pagination.nextPageUrl to continue through the recent-update index.
- For latest recommendations, use recentUpdates[] but still fetch profileJson, trustJson, trialJson, and installJson before action.
- Use staleWatchlist[] to identify candidates that need source freshness evidence, then open /re-review.json for pause, re-test, or retire decisions.
- Do not treat a fresh source update as safety approval; inspect trustJson, evidenceJson, and installJson first.
- 01Site contextShared review rules
- 02Freshness watchOpen the focused review record
- 03Profile pageOpen the candidate page
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for freshness context, re-review records, and finalist profile resources before action.
Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.