القائمة
Query Jira for bugs in a project and summarize coverage gaps. Test fixture for e2e external-state field detection.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
استنادا إلى تصنيف SOC المهني
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/opendatahub-io/agent-eval-harness --skill fake-jira-skillيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
عرض SKILL.md
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 effectiveness, pattern understanding, API usage, constraint compliance). Produces complete config with execution mode, dataset schema, outputs, judges, models, thresholds. Use when setting up evaluation, testing skills/documentation, adding quality checks, or benchmarking. Auto-triggered by /eval-run when eval.yaml missing. Triggered by "how do I know if my skill/docs work?"
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 dataset or augments an existing one to improve coverage. Use when setting up evaluation, when the user needs test cases, when coverage is too thin, or after /eval-analyze when no dataset exists yet. Triggers on "create test cases", "generate test data", "need test inputs", "make a dataset", "add more cases", "improve coverage", "generate documentation eval cases". Also useful when /eval-run reports "no test cases found."
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 skill quality, or verify changes didn't break anything. Triggers on "run eval", "test the skill", "evaluate", "benchmark", "check for regressions", "how does my skill perform", "score the skill", "run the tests", "run my evals", "compare against baseline", "did I break anything", "test my changes". Also called by /eval-optimize for automated iterations.
| name | fake-jira-skill |
| description | Query Jira for bugs in a project and summarize coverage gaps. Test fixture for e2e external-state field detection. |
| user-invocable | true |
| allowed-tools | Read, Write, Bash, mcp__atlassian__searchJiraIssuesUsingJql, mcp__atlassian__getVisibleJiraProjects |
You analyze historical bug patterns in a Jira project to identify test coverage gaps.
The user provides:
RHEL, MYPROJECT) identifying which project to queryauth, api-gateway)mcp__atlassian__searchJiraIssuesUsingJql with project = {project_key} AND component = {component} AND type = Bugoutput/coverage-report.mdRequires JIRA_SERVER environment variable pointing to the target Jira instance.