Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add RelationalAI/rai-agent-skills --skill rai-setupgit clone --depth 1 https://github.com/RelationalAI/rai-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/relationalai/rai-agent-skills/rai-setup)<a href="https://agentmods.dev/skills/relationalai/rai-agent-skills/rai-setup"><img src="https://agentmods.dev/badge/skills/relationalai/rai-agent-skills/rai-setup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/relationalai/rai-agent-skills/rai-setup"><img src="https://agentmods.dev/badge/skills/relationalai/rai-agent-skills/rai-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00078 | $0.02882 |
| Opus 5 | $0.00039 | $0.01441 |
| Sonnet 5 | $0.00016 | $0.00576 |
| Haiku 4.5 | $0.00008 | $0.00288 |
Grade A, and why
rai-setup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RelationalAI Setup & Configuration
Covers the relationalai Python package (aka PyRel), which enables PyRel programs and ships the rai CLI.
Summary
What: End-to-end RelationalAI setup and configuration — installing the Python package, connecting to Snowflake, validating the environment, running a starter program, and tuning all configuration surfaces (auth, model, reasoners, engines, execution).
When to use:
- First-time setup: install
relationalai, connect to Snowflake, run a starter program - Running RAI locally on DuckDB for development, prototyping, or demos (no Snowflake)
- Creating or editing
raiconfig.yaml - Choosing or troubleshooting an authentication method
- Tuning reasoner engines, sizes, solver settings
- Troubleshooting connection or config errors
When NOT to use:
- Writing PyRel models or queries — see
rai-pyrel - Designing ontology structure — see
rai-ontology - Solver execution and diagnostics — see
rai-prescriptive-results - Discovering what questions an existing model can answer — see
rai-discovery
Overview: For a returning user tweaking config, start from Quick Reference below and the Reference files trigger table — load only the reference matching the task. For a first-time user, drop into First-Time Setup Workflow and walk them through install → connect → validate → starter → next steps. Always finish a connection change by running rai connect — never hand the user a config and assume it works.
Prerequisites
Requires Python 3.10+ and relationalai>=1.20.1.
Some guidance carries inline Requires relationalai ... notes flagging capabilities that need a version above this baseline; when following those blocks, install at least the version they name.
The RelationalAI Native App for Snowflake must be installed in your account by an administrator — request access here; see the Native App docs. (Not required for local DuckDB development — see Local Development with DuckDB below.)
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 201 lines · 78 tokens per session scan A f610f3746399
rai-setup is a skill published in the GitHub repository RelationalAI/rai-agent-skills (4 stars, last pushed 2d ago), licensed Apache-2.0. It adds 78 tokens to every session and 2,882 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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