byagentscope-ai· 190 skills
Benchmark LLM reference recommendation capabilities by verifying every cited paper against Crossref, PubMed, arXiv, and DBLP. Measures hallucination rate, per-field accuracy (title/author/year/DOI), discipline breakdown, and year constraint compliance. Supports tool-augmented (ReAct + web search) mode. Use when the user asks to evaluate, benchmark, or compare models on academic reference hallucination, literature recommendation quality, or citation accuracy.
$npx -y skills add agentscope-ai/openjudge --skill ref-hallucination-arenaInstalls into the current project.
Run `npx skills use "https://github.com/agentscope-ai/openjudge" --skill "agentscope-ai/openjudge/ref-hallucination-arena"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/agentscope-ai/openjudge" that are relevant to the current task. Run `npx skills add "https://github.com/agentscope-ai/openjudge"` and select the relevant skills, then follow their instructions.