EvalScope

Translates natural language requests into evalscope CLI commands. Core capabilities: (1) Model accuracy evaluation (eval) — runs 156+ benchmarks (Math, Codin...

This skill appears to do what it says (build evalscope CLI commands). Before installing or running commands: (1) Verify the evalscope package/source you will install (use a virtualenv or container) and prefer an official PyPI or GitHub release; (2) Be cautious when providing API keys or endpoint URLs—only supply credentials you trust and avoid posting keys to remote/untrusted services; (3) When running perf tests, ensure endpoints are intended targets (benchmarks can generate heavy traffic); (4) Use mock_llm or sandbox modes if you want to test without contacting external models; (5) Review outputs/ reports before sharing and do not expose sensitive logs. If you want a deeper review, provide the evalscope PyPI project URL or the package code so it can be inspected.

Type: OpenClaw Skill Name: skill-evalscope Version: 1.0.1 The skill bundle provides a legitimate integration for the EvalScope LLM evaluation framework, allowing an agent to perform model benchmarking, performance stress testing, and result visualization via the `evalscope` CLI. While the skill involves high-risk capabilities such as executing shell commands, installing Python packages, and handling API keys, these actions are transparently documented and strictly aligned with the tool's stated purpose. No evidence of data exfiltration, malicious obfuscation, or harmful prompt injection was found across the documentation or command references (SKILL.md, eval-reference.md, perf-reference.md).