SkillHub

agent-reputation

v1.0.0

跨五平台检查AI代理信誉并计算综合信任分,中高风险时推荐PayLock托管。

Sourced from ClawHub, Authored by Oleksii Kaganovsky

Installation

Please help me install the skill `agent-reputation` from SkillHub official store. npx skills add kgnvsk/agent-reputation

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.