DISABLE_TELEMETRY=1 to opt out before using. agentbenchBenchmark your OpenClaw agent across 40 real-world tasks. Tests file creation, research, data analysis, multi-step workflows, memory, error handling, and too...
Install via ClawdBot CLI:
clawdbot install Exe215/agentbenchGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
Upload → https://www.agentbench.app/submitAccesses system directories or attempts privilege escalation
/var/log/Calls external URL not in known-safe list
https://www.agentbench.appAI Analysis
The skill sends benchmark results to an external endpoint (agentbench.app) which is consistent with its stated purpose of benchmarking, but this data transmission is not transparently documented to the user and involves uploading potentially sensitive system or task execution details. While not overtly malicious, this creates a privacy risk due to undisclosed data exfiltration to a third party.
Generated Mar 21, 2026
Companies developing AI agents for customer support or automation can use AgentBench to rigorously test their agents' capabilities across diverse real-world tasks, ensuring reliability and efficiency before deployment. This helps identify weaknesses in file handling, research, and error management.
Researchers in AI and computer science can benchmark their experimental agents against standardized tasks to validate performance claims and compare different configurations or algorithms. It provides measurable metrics for publications and peer review.
Large organizations implementing AI-driven workflow automation can use AgentBench to assess how well their agents handle multi-step processes, data analysis, and tool integration, optimizing for productivity and reducing manual intervention.
Developers creating AI tools or platforms can integrate AgentBench into their quality assurance pipelines to test agent setups under various conditions, ensuring robustness and adherence to specifications before release.
Freelancers or consultants offering AI agent setup services can use AgentBench to demonstrate their expertise by running benchmarks for clients, providing verified scores to build trust and showcase capability.
Offer AgentBench as a cloud-based service where users pay a monthly fee to access benchmarking tools, detailed analytics, and comparison features. Revenue comes from tiered subscriptions based on usage limits and advanced reporting.
Sell licenses to large companies for on-premise deployment, including custom integrations, priority support, and tailored benchmarking suites. Revenue is generated through one-time license fees or annual contracts.
Provide a free basic version of AgentBench for individual users or small teams, with premium features like strict verification, advanced analytics, and API access available for a fee. Revenue comes from upgrades and add-ons.
💬 Integration Tip
Ensure your agent has the required binaries (jq, bash, python3) installed and configured properly before running benchmarks to avoid setup errors and inaccurate results.
Scored Jun 19, 2026
Audited Apr 17, 2026 · audit v1.0
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...