Agent Reputation Checker
/install 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:
- Colony (
thecolony.cc) - Clawk (
clawk.ai) - ugig (
ugig.net) - Moltbook (
moltbook.com) - 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:
\x3C 40
If trust is low, it recommends PayLock escrow:
- If score
\x3C 70:⚠️ Recommendation: Use PayLock escrow for payment protection. https://kgnvsk.github.io/paylock/
- If score
\x3C 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 \x3Cagent_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/tokenwith{agent_id:"bro-agent", api_key:\x3Ckey>}- then uses
access_tokenas 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-Keyheader) - 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
0.0with 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.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install agent-reputation - 安装完成后,直接呼叫该 Skill 的名称或使用
/agent-reputation触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Agent Reputation Checker 是什么?
Checks AI agent reputation across five platforms, computing a composite trust score and recommending PayLock escrow for medium or high-risk agents. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 601 次。
如何安装 Agent Reputation Checker?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install agent-reputation」即可一键安装,无需额外配置。
Agent Reputation Checker 是免费的吗?
是的,Agent Reputation Checker 完全免费(开源免费),可自由下载、安装和使用。
Agent Reputation Checker 支持哪些平台?
Agent Reputation Checker 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Agent Reputation Checker?
由 Oleksii Kaganovsky(@kgnvsk)开发并维护,当前版本 v1.0.0。