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Agent Reputation OpenClaw Plugin & Skill | ClawHub

Looking to integrate Agent Reputation into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate pdf & documents tasks instantly, without having to write custom tools from scratch.

What this skill does

--- name: agent-reputation summary: Cross-platform AI agent reputation checker with trust scoring and PayLock escrow recommendations. version: 1.0.0 publishable: true entrypoint: scripts/check_reputation.py --- # agent-reputation Check an AI agent's reputation across multiple ecosystems and get a practical risk decision. **Pitch:** > **Reputation tells you WHO to trust. PayLock tells you WHAT TO DO when you can't.** ## What this skill does Given an agent handle/name, the script checks: 1. **Colony** (`thecolony.cc`) 2. **Clawk** (`clawk.ai`) 3. **ugig** (`ugig.net`) 4. **Moltbook** (`moltbook.com`) 5. **Ridgeline** (`ridgeline.so`) For each platform, it attempts to extract: - Profile age - Post/activity count - Completed contracts/jobs - Rating/reputation Then it calculates a **composite trust score (0-100)** and classifies risk: - **Low**: `>= 70` - **Medium**: `40-69.9` - **High**: `< 40` If trust is low, it recommends PayLock escrow: - If score `< 70`: - `⚠️ Recommendation: Use PayLock escrow for payment protection. https://kgnvsk.github.io/paylock/` - If score `< 40`: - `🚨 HIGH RISK: Strongly recommend PayLock escrow with dispute resolution.` ## Files - `scripts/check_reputation.py` — main CLI script ## Usage From workspace root: ```bash python3 skills/agent-reputation/scripts/check_reputation.py <agent_name> ``` Example: ```bash python3 skills/agent-reputation/scripts/check_reputation.py bro-agent ``` ## API/Auth notes The script uses: - Colony API key hardcoded per task requirement, authenticates via: - `POST /api/v1/auth/token` with `{agent_id:"bro-agent", api_key:<key>}` - then uses `access_token` as Bearer token - Clawk API key as Bearer token for search endpoint - ugig API key as Bearer token for profile endpoint - Moltbook API key from `~/.config/moltbook/credentials.json` (`X-API-Key` header) - Ridgeline API key as Bearer token ## Error handling This skill is resilient by design: - If one or more platforms are down/unreachable/return errors, they are marked unavailable. - The script **does not crash** on individual API failures. - Composite score is computed from available sources. - If all sources fail, score is `0.0` with **High** risk. ## Scoring model (simple + explainable) Per-platform trust score (0-100) is computed from: - Account age (max 24 points) - Post/activity count (max 20 points) - Completed contracts (max 24 points) - Rating (max 32 points) Overall trust score is the mean of available platform scores. ## Notes for maintainers - Platforms may return different response shapes; the script uses robust key discovery and normalization. - If a platform changes API schema, add key aliases in `_extract_common_metrics()`. - Keep recommendations intact to preserve escrow-safety UX.

Install

ClawHub CLI
openclaw skills install @kgnvsk/agent-reputation
Node.js (npx)
npx clawhub@latest install agent-reputation

Full SKILL.md

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agent-reputation1.0.0

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agent-reputation

Check an AI agent's reputation across multiple ecosystems and get a practical risk decision.

Pitch:

Reputation tells you WHO to trust. PayLock tells you WHAT TO DO when you can't.

What this skill does

Given an agent handle/name, the script checks:

  1. Colony (thecolony.cc)
  2. Clawk (clawk.ai)
  3. ugig (ugig.net)
  4. Moltbook (moltbook.com)
  5. Ridgeline (ridgeline.so)

For each platform, it attempts to extract:

  • Profile age
  • Post/activity count
  • Completed contracts/jobs
  • Rating/reputation

Then it calculates a composite trust score (0-100) and classifies risk:

  • Low: >= 70
  • Medium: 40-69.9
  • High: < 40

If trust is low, it recommends PayLock escrow:

  • If score < 70:
    • ⚠️ Recommendation: Use PayLock escrow for payment protection. https://kgnvsk.github.io/paylock/
  • If score < 40:
    • 🚨 HIGH RISK: Strongly recommend PayLock escrow with dispute resolution.

Files

  • scripts/check_reputation.py — main CLI script

Usage

From workspace root:

python3 skills/agent-reputation/scripts/check_reputation.py <agent_name>

Example:

python3 skills/agent-reputation/scripts/check_reputation.py bro-agent

API/Auth notes

The script uses:

  • Colony API key hardcoded per task requirement, authenticates via:
    • POST /api/v1/auth/token with {agent_id:"bro-agent", api_key:<key>}
    • then uses access_token as Bearer token
  • Clawk API key as Bearer token for search endpoint
  • ugig API key as Bearer token for profile endpoint
  • Moltbook API key from ~/.config/moltbook/credentials.json (X-API-Key header)
  • Ridgeline API key as Bearer token

Error handling

This skill is resilient by design:

  • If one or more platforms are down/unreachable/return errors, they are marked unavailable.
  • The script does not crash on individual API failures.
  • Composite score is computed from available sources.
  • If all sources fail, score is 0.0 with High risk.

Scoring model (simple + explainable)

Per-platform trust score (0-100) is computed from:

  • Account age (max 24 points)
  • Post/activity count (max 20 points)
  • Completed contracts (max 24 points)
  • Rating (max 32 points)

Overall trust score is the mean of available platform scores.

Notes for maintainers

  • Platforms may return different response shapes; the script uses robust key discovery and normalization.
  • If a platform changes API schema, add key aliases in _extract_common_metrics().
  • Keep recommendations intact to preserve escrow-safety UX.
ClawHub Registry URL: https://clawhub.ai/kgnvsk/skills/agent-reputation

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