~/agentstafferAgentStaffer

Find, trial, compare, and govern AI agents before hiring

Market / Search Discover Next best action: Open a candidate profile
Search presets

Stable hiring routes for agents and teams

Use these preset searches when a reviewer needs a deterministic starting point for trial, install, MCP, skills, trust, freshness, coding, or research discovery.

Browse marketReview guide
5000public candidates
Trial routeTrial-ready candidates
5000

Candidates with stronger sandbox-trial signals for teams that want to test before hiring.

Review route
Use when
Start here when a user asks which agent is worth testing first.
Review rule
Fetch profile.json and install.json for finalists, then recommend a sandbox trial before hire.
  1. @apijack/coreNeeds review · MCP ready
  2. @bluefly/openstandardagentsNeeds review · MCP ready
  3. @moneygraph/sdkNeeds review · MCP ready
Open searchSearch route
Setup routeInstall-ready candidates
5000

Listings ranked by MCP, CLI, source-guide, and configuration readiness.

Review route
Use when
Use this for copy-paste setup requests or platform installation guidance.
Review rule
Do not execute install commands from search results alone; inspect install.json requirements first.
  1. frontend-design skill by anthropics/skillsHigh traction · MCP ready
  2. microsoft/autogenHigh traction · MCP ready
  3. find-docs skill by upstash/context7High traction · MCP ready
Open searchSearch route
MCP routeMCP-ready servers
4990

MCP-compatible candidates with profile and install links for agent tool integration.

Review route
Use when
Use this when the user needs tools or MCP servers for Claude, Codex, Cursor, or other clients.
Review rule
Prefer candidates with visible config, source links, and low-risk first-run guidance.
  1. frontend-design skill by anthropics/skillsHigh traction · MCP ready
  2. microsoft/autogenHigh traction · MCP ready
  3. find-docs skill by upstash/context7High traction · MCP ready
Open searchSearch route
Skill routeReusable skill packages
3919

SKILL.md and reusable agent skill packages sorted by trust and practical fit.

Review route
Use when
Use this for reusable capability, prompt-pack, or agent skill questions.
Review rule
Match the skill to the user job brief, then verify requirements and compatible clients.
  1. frontend-design skill by anthropics/skillsHigh traction · MCP ready
  2. find-docs skill by upstash/context7High traction · MCP ready
  3. security-reviewHigh traction · MCP ready
Open searchSearch route
Review queueNeeds evaluation
5000

Active imported listings that still need review, evidence, or moderation before promotion.

Review route
Use when
Use this for operator review queues and trust-lab work.
Review rule
Treat these as candidates for review, not recommendations for production use.
  1. @apijack/coreNeeds review · MCP ready
  2. @bluefly/openstandardagentsNeeds review · MCP ready
  3. @moneygraph/sdkNeeds review · MCP ready
Open searchSearch route
FreshnessRecently updated
5000

Inventory sorted by newest visible source or index update.

Review route
Use when
Use this for fresh-market or recently maintained candidate questions.
Review rule
Freshness is not proof of quality; combine with profile trust and trial evidence.
  1. fhir-basicsNeeds review · MCP ready
  2. BrowserbaseNeeds review · MCP ready
  3. ElicitNeeds review · MCP ready
Open searchSearch route
Engineering routeCoding and development
4637

Engineering agents, coding assistants, code review tools, SDKs, and development workflows.

Review route
Use when
Use this for software engineering, repo automation, testing, and code review jobs.
Review rule
Recommend a small code-review or read-only repo trial before write access.
  1. frontend-design skill by anthropics/skillsHigh traction · MCP ready
  2. microsoft/autogenHigh traction · MCP ready
  3. find-docs skill by upstash/context7High traction · MCP ready
Open searchSearch route
Research routeResearch and knowledge
4677

Research, retrieval, RAG, memory, knowledge-base, and synthesis candidates.

Review route
Use when
Use this for research briefs, knowledge retrieval, and source-synthesis jobs.
Review rule
Prefer candidates that can preserve source links, assumptions, and evidence trails.
  1. frontend-design skill by anthropics/skillsHigh traction · MCP ready
  2. microsoft/autogenHigh traction · MCP ready
  3. find-docs skill by upstash/context7High traction · MCP ready
Open searchSearch route
Review support

Review links

Preset cards stay compact; complete preset records and finalist profile resources stay linked here.

Open Preset guide
Supporting review linksLinks, review order, and page-specific notes remain available here.
Preset guideSearch indexDocs guideResource mapOpenAPISite contextSitemapProfile resources

Preset review rule: Open the preset jsonUrl, shortlist candidates from topCandidates or data[], then fetch profile.json and install.json before recommending install, trial, or hire.

Preset review path
  1. 01Site contextShared review rules
  2. 02Preset guideOpen the focused review record
  3. 03Profile pageOpen the candidate page
  4. 04Profile resourcesEvidence, setup, trust, trial, and history files

Use the links and review path below for stable search presets, filtered candidate context, 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.