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 agentmods add skills/altimateai/data-engineering-skills/altimate-codenpx skills add AltimateAI/data-engineering-skills --skill altimate-codegit clone --depth 1 https://github.com/AltimateAI/data-engineering-skillsWhat 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 | $0.00184 | $0.01309 |
| Opus 5 | $0.00092 | $0.00655 |
| Sonnet 5 | $0.00037 | $0.00262 |
| Haiku 4.5 | $0.00018 | $0.00131 |
Grade A, and why
altimate-code 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 2d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
altimate-code
altimate-code is a CLI AI agent that ships with native data engineering tools. This skill delegates work to it via its non-interactive run mode and presents the result back to the user.
Prerequisite Check — ALWAYS DO THIS FIRST
Before invoking altimate-code, verify it is installed and on PATH:
command -v altimate-code
If the command returns nothing (exit code 1), STOP and tell the user this exact message — do not proceed:
altimate-code is not installed. Install it with:
npm install -g altimate-codeRequires Node.js 20+. Docs: https://docs.altimate.sh · Source: https://github.com/AltimateAI/altimate-code · npm: https://www.npmjs.com/package/altimate-code
After installing, run
altimate-codeonce to configure it — this launches the TUI where you set up your LLM provider auth and warehouse connections. Then re-run your request and I'll delegate it.
Do not attempt to install altimate-code on the user's behalf — they may want a specific version, a different package manager (e.g. pnpm/yarn global), or to opt out entirely. Surface the command and let them decide.
If command -v fails but the user says it is installed, suggest checking npm bin -g is on PATH, or running npm config get prefix to find the global install location.
How to Invoke
altimate-code run is non-interactive — it takes a message, executes the task, prints the final result to stdout, and exits.
Minimal invocation:
altimate-code run "<task description>" --yolo
Recommended invocation — captures the final response to a file and runs in the right directory:
altimate-code run "<task description>" \
--yolo \
--output /tmp/altimate-result.md \
--dir "$(pwd)"
Then read /tmp/altimate-result.md and pass it straight back to the user.
Key flags
| Flag | When to use |
|---|---|
--yolo |
Required for non-interactive — auto-approves tool calls. Without this it hangs on the first permission prompt. |
--output <path> |
Write the final assistant response to a file. Use .md or .txt. |
--dir <path> |
Run the agent in a specific directory (e.g. a dbt project root). Defaults to cwd. |
--model provider/model |
Override the model. Useful for fast/cheap exploration. |
--format json |
Emit raw JSON events instead of formatted output. Use only when post-processing programmatically. |
--continue / --session <id> |
Continue a previous altimate-code session. |
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.
- 2d ago First seen · 108 lines · 0 tokens per session scan A 609fefe579ea
altimate-code is a skill published in the GitHub repository AltimateAI/data-engineering-skills (122 stars, last pushed 1mo ago), licensed MIT. It adds 184 tokens to every session and 1,309 once invoked, about $0.0009 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 2026-08-30.
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