~/agentstafferAgentStaffer
Find, trial, compare, and govern AI agents before hiring
Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
Research & Knowledge
Agents for research, retrieval, memory, knowledge bases, RAG, GraphRAG, and long-context synthesis.
4677total
4677filtered
278page
390pages
Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Collect and synthesize source-backed research.
- Build reusable knowledge assets.
- Preserve citations and assumptions for review.
Recommended trials and bundles
playbooks / skill
jz-agent-guardrails skill by openclaw/skills
This skill enforces project-wide guardrails for AI agents with hooks, secret scanning, and deployment checks to prevent bypasses.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
aiagentslist / tool
k8s-mcp-server
This program connects your text assistant directly to your Kubernetes environment. You can check running applications, read container logs, track memory usage, update software, and restart services by simply typing everyday requests into your chat window.
MCPCLISDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
kakiyo skill by openclaw/skills
This skill helps you manage LinkedIn outreach campaigns and AI agents through Kakiyo MCP server, enabling campaign creation, prospect management, and analytics.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
kb skill by hellowind777/helloagents
This skill manages and synchronizes knowledge base across plan/wiki/history, ensuring consistency after code changes and audits updates automatically.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
keychat skill by openclaw/skills
This skill helps you install and configure Keychat for OpenClaw agents, enabling end-to-end encrypted messaging via Signal Protocol.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
Kg MCP Server
Lightweight knowledge graph Browse Kg MCP Server for Claude, Cursor, VS Code, and other AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
kimi-agent-policy skill by openclaw/skills
This skill enforces structured tool-use discipline for OpenClaw agents, auditing behavior, and managing step limits to improve reliability and safety.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
kj-parallel-agents skill by openclaw/skills
This skill dispatches multiple subagents to handle independent tasks in parallel, maximizing throughput when tasks have no shared state or sequential
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review support
Open Category guide
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
Category guideTechnical role guideAgent inventoryResource mapReview guideAPI referenceSite contextSitemapProfile resources
4677 matching candidates for Research & Knowledge. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, 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.