datarobot-agent-assist-simulate
Use when the user wants to adversarially test, evaluate, or harden an implemented AI agent before deployment; mentions swarm simulation, attack testing, persistence testing, evaluation criteria, or eval_report.md.
Install
With your agent
Install OMGSkills skill "datarobot-oss/datarobot-agent-skills:skills/datarobot-agent-assist/agent-assist-simulate" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/datarobot-oss/datarobot-agent-skills /tmp/datarobot-agent-skills && ln -s /tmp/datarobot-agent-skills/skills/datarobot-agent-assist/agent-assist-simulate ~/.claude/skills/datarobot-agent-assist-simulateFrom README
Agent Assist — Simulate Adversarially test and harden an implemented agent before deployment. Runs three simulation tracks (attack, behavior, persistence), then patches and retests failing scenarios across multiple rounds until all pass or the fixing limit is reached. --- Script Path Resolution Resolve once per session: is the scripts/ subdirectory next to this SKILL.md. Confirm it exists. Use the resolved absolute path everywhere. Python: prefer .venv/bin/python3 if a .venv/ exists; otherwise python3. Store as . Require 3.11+: The last line locates the shared datarobot-skills-utils package (a repo checkout or an installed copy) and installs it from PyPI when neither is present. OpenCode: Auth: If any check fails, surface the error and stop. Swarm directory: All intermediate files (scenario inputs/outputs, run results, convergence state) are written to .datarobot/swarm/ under the project root and deleted at the end of Step 5.
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