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SkillsMP は opendatahub-io/agent-eval-harness から 11 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 11 件中 11 件を表示しています。
Generate eval.yaml for the agent eval harness. Two modes - (1) Skill-based - examines SKILL.md, sub-skills, scripts, test cases to verify implementation quality, OR (2) Prompt-based - tests agent capabilities using custom analysis prompts (documentation…
原文の言語: 英語
Generate evaluation test cases for an eval.yaml. Sources cases per generation.strategy - skill analysis (default), synthetic LLM generation from generation prompts (documentation and agent-capability evals), or MLflow production traces. Bootstraps a starter…
原文の言語: 英語
Execute an evaluation against test cases (skill or prompt mode), score with judges, and report results. Requires eval.yaml (generated by /eval-analyze). Use when the user wants to test a skill, run eval, benchmark, compare models, detect regressions, check…
原文の言語: 英語
MLflow integration for evaluation — sync datasets, log run results, push/pull feedback between the harness and MLflow traces. Use when the user wants to log eval results to MLflow, sync test cases to MLflow datasets, connect judge scores to traces, pull…
原文の言語: 英語
Run Design-of-Experiments (DoE) evaluations with ANOVA over a matrix of agent configurations — comparing models, thinking-effort levels, prompts, or other factors across shared test cases, with repeated-measures / mixed-effects statistics that account for…
原文の言語: 英語
Evaluate the full harness configuration as a system. Scans all skills, commands, CLAUDE.md, and hooks for redundancy, overlap, type misclassification, and structural issues. Produces an informational report with restructuring suggestions. Use when the user…
原文の言語: 英語
Compare evaluation results across multiple models or runs. Takes a directory of eval run artifacts (summary.yaml, run_result.json, HTML reports) and produces a tabbed HTML comparison report with model cards, quality/cost tables, per-case breakdowns, and…
原文の言語: 英語
Automated skill improvement loop. Runs eval, identifies judge failures, reads traces and rationale, edits the SKILL.md to fix issues, re-runs to verify, and checks for regressions. Use when the user wants to automatically improve a skill based on eval…
原文の言語: 英語
Interactive review of evaluation results. Presents judge scores and skill outputs for human feedback, then proposes SKILL.md improvements based on what the user identifies. Use when the user wants to review eval results, look at results, check scores, see…
原文の言語: 英語
Optional environment configurator for the agent-eval-harness. Configures MLflow tracking, verifies API keys, and troubleshoots dependency issues. Detects available skills and agentic documentation (CLAUDE.md, AGENTS.md, ai-docs/) to suggest appropriate…
原文の言語: 英語
Query Jira for bugs in a project and summarize coverage gaps. Test fixture for e2e external-state field detection.
原文の言語: 英語