datarobot-agent-assist-simulate skillB
datarobot-agent-assist-simulate is agent-read markdown (skill) from datarobot-oss/datarobot-agent-skills: 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..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# 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: `<skill_scripts_dir>` 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 `<python>`. Require 3.11+: ```bash <python> -c "import sys; assert sys.version_info >= (3, 11)" <python> -c "import pydantic, yaml" 2>/dev/null || <python> -m pip install pydantic pyyaml ``` **OpenCode:** ```bash dr opencode upgrade && export PATH="$PATH:$HOME/.opencode/bin" ``` **Auth:** ```bash dr auth check dr dotenv update ``` 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. …
Read the whole file at its exact version.
How to install
mdr add datarobot-oss/datarobot-agent-skills/datarobot-agent-assist-simulate@git:20260805.1ef1aa0mdr add datarobot-oss/datarobot-agent-skills/datarobot-agent-assist-simulate@sha256:608d094b94545f30Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_keohfllhnybjtlvx)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260805.1ef1aa0 latest | 2026-08-05 | 1ef1aa0 | 17,766 B | B | view · diff |
| git:20260805.5e46b59 | 2026-08-05 | 5e46b59 | 17,343 B | B | view · diff |
| git:20260805.d66bab9 | 2026-08-05 | d66bab9 | 17,316 B | B | view · diff |
| git:20260805.f605359 | 2026-08-05 | f605359 | 17,342 B | B | view · diff |
| git:20260805.3cc5046 | 2026-08-05 | 3cc5046 | 17,127 B | B | view |
Audit of the latest version
- fail: No link to a raw IP address (matched: http://127.0.0.1:4096)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (17766 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No script tag
Source
datarobot-oss/datarobot-agent-skills · 27 stars · license Apache-2.0 · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_keohfllhnybjtlvx GET https://markdownregistry.com/api/v1/resolve?ref=datarobot-oss/datarobot-agent-skills/datarobot-agent-assist-simulate GET https://markdownregistry.com/api/v1/blob/608d094b94545f30cd36eb81c47f9f3cc6faa0915ce3d208702a608179277c1c
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.