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orq-ai/orq

v2.5.1MIT

Agent skills for building, deploying, evaluating, and monitoring LLM pipelines on the orq.ai platform.

orq-simulate-agent

Run multi-turn agent simulations using evaluatorq's first-class simulation primitives (simulate(), generate_and_simulate(), wrap_simulation_agent()). Drive an agent under test with a simulated user LLM, scored by a built-in JudgeAgent that decides per turn whether the goal was achieved or rules broken. Use when generating realistic multi-turn data for experiments, stress-testing conversational agents, or producing seed transcripts for dataset curation. Do NOT use when you have enough real production conversations (use orq-analyze-trace-failures). Do NOT use for adversarial red-teaming sweeps (use evaluatorq's built-in red_team() directly, see resources/redteam-mode.md).

Read SKILL.md at the source

Pinned to revision 9634e1d956e4, so it is the text this page describes rather than whatever the author pushed since.

Pre-approved tools experimental

Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.

  • Bash(curl:*)
  • Read
  • Write
  • Edit
  • Grep
  • Glob
  • WebFetch
  • Task
  • AskUserQuestion
  • mcp__orq-workspace__search_entities

Files

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