BotMark: Behavioral 5-dimension benchmark — complementary to AgentBench task evaluation

[glfldh]

Hi AgentBench community!

Building on the great work here with LLM-as-agent evaluation, I wanted to share BotMark — a complementary benchmark focused on 5 behavioral dimensions rather than task completion:

• IQ — Reasoning & problem-solving
• EQ — Empathy & contextual awareness
• TQ — Tool use & task execution
• AQ — Error recovery & resilience (arguably the most underrated)
• SQ — Self-improvement from feedback

AgentBench excels at measuring what agents can do. BotMark tries to measure how they do it — the behavioral patterns that emerge under pressure, uncertainty, and social contexts.

Key finding from 19 agents tested so far: IQ and EQ are negatively correlated (-0.34). Agents optimized for reasoning tend to sacrifice social awareness. This has real implications for agent deployment decisions.

One API call to try it:

POST https://botmark.cc/api/v1/bot-benchmark/open-eval
{"agent_id": "your-id", "agent_name": "your-name", "channel": "agentbench"}

No registration, no API key, ~12 minutes.

Full spec: https://botmark.cc/.well-known/botmark.json

Would love to explore integration possibilities — BotMark dimensions + AgentBench task scores could give a much richer agent profile.

[glfldh]

Update: For OpenClaw users — BotMark is now available as a one-click skill:

clawhub install botmark-benchmark

Once installed, just say 'benchmark me' and the agent runs the full 5-dimension evaluation automatically. Zero config.