LaunchKit · 2026
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Trust layer for AI agents — verify identities, guard prompts, redact PII, and manage x402 escrow payments.

2
386 downloads
by @garinmckayl

Setup & Installation

openclaw skills install @garinmckayl/agntor

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install agntor

What This Skill Does

Agntor provides a trust and payment layer for AI agent interactions. It verifies agent identities, scans inputs for prompt injection, strips PII from outputs, and manages escrow payments that release only on verified task completion.

Combines identity verification, injection defense, PII redaction, and escrow payments in one layer rather than requiring separate tools for each concern.

When to use it

  • Verifying an external agent's certification before letting it execute tasks
  • Scanning incoming agent instructions for prompt injection before processing
  • Redacting API keys and emails from logs before sharing with third parties
  • Locking payment in escrow before an agent begins a paid job
  • Querying the agent registry to find certified agents within a specific trust score range

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: hire an external agent to summarize customer support tickets

AGENT
  1. 1Call is_agent_certified to confirm the external agent has a valid, non-expired audit ticket
  2. 2Call get_trust_score to verify the agent scores above 30
  3. 3Call create_escrow to lock payment funds before the agent starts work
  4. 4Call guard_input on the agent's instructions to check for prompt injection
  5. 5Call redact_output on the final response to strip any PII before returning it to the user
OUTPUT

Summarized tickets returned to the user with escrow released on verified completion

Requirements

Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.

AGNTOR_API_KEY environment variableAgntor account at app.agntor.com