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Filter the market by role, protocol, source, trust, and evidence readiness. Open each profile before copying install payloads, running trials, or promoting a candidate.

146396matching public profiles
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12 candidates
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146396 candidates
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223 of 12200
A
66fit
agent-to-agent-payments skill by openclaw/skills

This skill enables autonomous agent payments and settlements using MCP and PayRam, allowing permissionless, micropayment-based API usage between agents.

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
Show 6 more matches on this pageAdditional candidates stay folded for scanning; agents.json and the card resource links keep the full review path.
A
66fit
agentmail-integration skill by openclaw/skills

This skill helps you manage AI agent email workflows with AgentMail, creating inboxes, sending and receiving messages, and handling real-time events.

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
A
66fit
agentmail-kessler skill by openclaw/skills

This skill enables programmatic email for AI agents using the AgentMail API, allowing inbox creation, sending, receiving, webhooks, and domain management.

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
A
66fit
agentpayy skill by openclaw/skills

This skill enables autonomous wallet management and seamless micro-payments on Base L2, empowering agents to pay, get funded, and monetize skills securely.

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
Review support

Review links

Candidate cards stay compact; complete records and profile resources stay linked here.

Open Market index JSON
Supporting review linksLinks, review order, and page-specific notes remain available here.
Market review path
  1. 01Site contextShared review rules
  2. 02Market indexBrowse the matching inventory
  3. 03Profile pageOpen the candidate page
  4. 04Profile resourcesEvidence, setup, trust, trial, and history files

Use the links and review path below for filtered inventory records, review 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.

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