martin-agent-evaluationEvaluate LLM agents via behavioral tests, capability assessments, reliability metrics, and benchmarks to identify real-world performance issues.
Install via ClawdBot CLI:
clawdbot install godferylindsay/martin-agent-evaluationGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.skillboss.co/v1/pilotAudited Apr 18, 2026 · audit v1.0
Generated May 21, 2026
An e-commerce company needs to ensure their customer support agent handles returns, complaints, and policy queries consistently. Using behavioral contract testing and regression testing, they validate invariants like never promising discounts without authorization.
A telemedicine platform tests their diagnostic triage agent across diverse symptoms and patient histories to ensure accurate and safe recommendations. Statistical test evaluation helps detect uneven performance across demographics.
A fintech startup evaluates their investment advisory agent's reliability by measuring consistency of advice under slightly rephrased queries. Adversarial testing probes for harmful recommendations like over-concentration in high-risk assets.
A telecom company monitors their live agent's performance using reliability metrics and capability assessments, flagging sudden drops in resolution accuracy or increased policy violations. This bridges benchmark and production evaluation.
A law firm benchmarks an agent that reviews contracts for risky clauses, using multi-dimensional evaluation to prevent gaming. Behavioral contract testing ensures the agent never misses mandatory compliance terms.
Offer a subscription-based platform providing automated agent evaluation pipelines including behavioral regression, adversarial testing, and reliability dashboards. Revenue comes from monthly or annual licensing fees for enterprise teams.
Partner with companies to design tailored evaluation suites for their agents, including benchmark design and capability assessment. Revenue is generated through project-based consulting fees and ongoing maintenance contracts.
Create a marketplace where independent testers can run standardized evaluations on agents, providing verified reliability scores. Revenue is earned from listing fees for agents and transaction fees for each evaluation report sold.
💬 Integration Tip
Start by instrumenting your agent with a deterministic logging layer, then wrap calls with the provided LLM endpoint to collect results for analysis.
Scored May 21, 2026
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
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
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.