AgentEvals.dev Benchmark Framework Model Card
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AgentEvals.dev Benchmark Framework Model Card
| Field | Value |
|---|---|
| Repository | agentevals-dev/agentevals |
| Category | Benchmark and Evaluation Framework for Agent Systems |
| Stars / forks snapshot | 98 / 6 |
| Language | Python |
| License | Apache-2.0 |
| Raw capture | raw-github/agentevals-dev_agentevals.md |
| Updated by | hourly public metadata update, 2026-06-02 07:54 +0800 |
1. Role in Self Evolve
agentevals-dev/agentevals provides an Apache-licensed benchmark framework for evaluating agent behavior and quality changes. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
standardize evaluation tasks for autonomous agents -> execute benchmark suites across versions and prompts -> compare outcomes using shared scoring protocols -> keep performance claims auditable across continuous updates
3. Evidence Path
web-observed GitHub page showed 98 stars, 6 forks, 90 commits, Apache-2.0 license, and benchmark/evaluation positioning. Shell GitHub API access remained blocked by DNS and local gh auth was invalid, so this card treats the snapshot as web-observed rather than API-verified.
4. Teaching Use
Use this card to explain Benchmark and Evaluation Framework for Agent Systems: it shows how harness/runtime/benchmark layers convert agent behavior into reproducible and auditable engineering workflows.
5. Limits
The repository was not cloned in this iteration; no benchmark run, plugin install, workflow execution, or agent loop experiment was executed. Counts and claims are visible public-page/search signals unless independently revalidated later.