datarobot-agent-llm-selection skillC
datarobot-agent-llm-selection is agent-read markdown (skill) from datarobot-oss/datarobot-agent-skills: Use when the user wants to configure LLM integration for a DataRobot agent application. This skill helps to change LLM model, switch between the LLM integrations the project supports (LLM Gateway, a DataRobot-deployed LLM, an external provider, an LLM Blueprint, and any others its config declares), or set up provider credentials. The skill reads the project's .datarobot/cli/llm.yml for the real options, interviews the user, then runs sync_llm_env.py with the chosen values as CLI args to merge in.
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
# DataRobot LLM gateway configuration Configure LLM integration **without hand-editing `.env`**. The skill drives `sync_llm_env.py` with the user's answers as CLI arguments. ## Resolve script path once per session `<skill_scripts_dir>` = the `scripts/` subdirectory of the directory containing this `SKILL.md`. ```shell ls <skill_scripts_dir>/sync_llm_env.py ``` ## Hard rules 1. **Never** ask the user to paste API keys or `DATAROBOT_API_TOKEN` in chat 2. **Never** read, copy, echo, or pass `DATAROBOT_API_TOKEN` yourself. The token lives in `$XDG_CONFIG_HOME/datarobot/drconfig.yaml` (default `~/.config/datarobot/drconfig.yaml`), populated by `dr auth login`, and the `dr` CLI reads it internally. Do not run `cat drconfig.yaml`, `cat .env`, `env | grep TOKEN`, `echo $DATAROBOT_API_TOKEN`, `curl -H "Authorization: Bearer $..."`, or any equivalent one-liner 3. **Never** pass secrets as CLI args to `sync_llm_env.py` or write them to tracked files 4. **Never** set provider credentials for an integration whose config section doesn't declare them. Let `sync_llm_env.py` decide — it reads the section from the project's config …
Read the whole file at its exact version.
How to install
mdr add datarobot-oss/datarobot-agent-skills/datarobot-agent-llm-selection@git:20260827.173ef3cmdr add datarobot-oss/datarobot-agent-skills/datarobot-agent-llm-selection@sha256:b5444ba253544552Pin 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_wfec46xf3fetayqa)
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Versions
Audit of the latest version
- fail: No prompt-injection phrasing (matched: Do not tell the user)
- fail: No instruction to read or print local credentials (matched: cat .env)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (14457 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 curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- 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_wfec46xf3fetayqa GET https://markdownregistry.com/api/v1/resolve?ref=datarobot-oss/datarobot-agent-skills/datarobot-agent-llm-selection GET https://markdownregistry.com/api/v1/blob/b5444ba253544552e9b93ecfd990540b78b2e1f3b3f25113116c972001d216eb
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.