personal-agent-eval
CommunityBenchmark LLMs and agents reproducibly.
Authorjaviersgjavi
Version1.0.0
Installs0
System Documentation
What problem does it solve?
personal_agent_eval provides a reproducible framework to benchmark LLMs and autonomous agents, capturing runs, deterministic checks, and judge-driven scores with full audit trails.
Core Features & Use Cases
- Run llm_probe campaigns against models via OpenRouter and record deterministic traces.
- Benchmark OpenClaw-based agents with workspace diffs, artifacts, and judge results.
- Inspect results, reuse fingerprints for incremental campaigns, and generate charts and reports.
Quick Start
Run a shipped pae campaign to start benchmarking immediately.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: personal-agent-eval Download link: https://github.com/javiersgjavi/personal_agent_eval/archive/main.zip#personal-agent-eval Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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