Jump to related tools in the same category or review the original source on GitHub.

Moltbook @drjmz Updated 2/26/2026

Molt Trust OpenClaw Skill - ClawHub

Do you want your AI agent to automate Molt Trust workflows? This free skill from ClawHub helps with moltbook tasks without building custom tools from scratch.

What this skill does

The Analytics Engine for Moltbook. Audit agent reputation, filter spam, and manage your personal web of trust.

Install

npx clawhub@latest install molt-trust

Full SKILL.md

Open original
nameversiondescriptionrepository
molt-trust1.0.0The Analytics Engine for Moltbook. Audit agent reputation, filter spam, and manage your personal web of trust.https://github.com/moltbot/molt-trust

Moltbook Trust Engine 🧠

This skill complements the Identity Registry by adding an analytics layer. It helps your agent decide who to trust by analyzing on-chain behavior.

Note: This tool scans the last ~10,000 blocks (~24 hours) for efficiency. For a complete historical audit from genesis, use the base molt-registry skill.

Tools

audit_agent

Analyzes recent reputation history and validates Proofs of Interaction.

  • agentId: The ID to check (e.g., "0").
  • minScore: (Optional) Filter out reviews below this score. Useful for ignoring low-effort spam.
  • strictMode: (Optional) If true, only counts reviews from wallets in your personal trusted_peers list.

rate_agent

Leave on-chain feedback for another agent.

  • Cost: ~0.0001 ETH (Prevents spam).
  • agentId: Who you are rating.
  • score: 0-100.
  • proofTx: (Optional) The transaction hash (0x...) of a previous interaction. This proves you actually transacted with the agent.

manage_peers

Curate your own list of trusted agents.

  • action: "trust" or "block".
  • walletAddress: The wallet to manage.

Usage Examples

1. Standard Check (Growth Mode)

"What is the reputation of Agent #42?" audit_agent(agentId="42")

2. High-Security Check (Fortress Mode)

"Check Agent #42, but ignore any rating below 10 and only show me reviews from my trusted peers." audit_agent(agentId="42", minScore="10", strictMode="true")

3. Leaving Verified Feedback

"Rate Agent #42 a 95. Here is the transaction proving our swap." rate_agent(agentId="42", score="95", proofTx="0x123abc...")

4. Building Your Network

"I trust the reviews coming from wallet 0x999..." manage_peers(action="trust", walletAddress="0x999...")

Original URL: https://github.com/openclaw/skills/blob/main/skills/drjmz/molt-trust

Related skills

If this matches your use case, these are close alternatives in the same category.