altimate

altimate is a command for coding agents from AltimateAI/altimate-claude-plugin. It costs 33 tokens per session (919 once invoked), scanned A, original, MIT.

A command that sends data-engineering tasks to altimate-code, a specialist command-line agent for databases and analytics code. It covers work involving data warehouses, SQL, dbt, data relationships, and query costs.

In plain words
What is it for?
Renaming, creating, refactoring, or debugging dbt and SQL; checking data lineage, warehouse schemas, privacy-related fields, costs, and query performance across databases.
Why use it?
It routes each task to a suitable specialist and checks whether the altimate-code program is installed before use. It also asks for a specific error when a debugging request is too vague.

Command

Part of the altimate-code plugin — 2 skills, 2 commands, 1 hook shipped together

Install

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.

agentmods
npx agentmods add commands/altimateai/altimate-claude-plugin/altimate
Clone the repo
git clone --depth 1 https://github.com/AltimateAI/altimate-claude-plugin

Or install altimate-code, the plugin that ships this one along with the rest of its 2 skills, 2 commands, 1 hook.

Wrote 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.

agentmods badge for altimate

README.md
[![agentmods](https://agentmods.dev/badge/commands/altimateai/altimate-claude-plugin/altimate.svg)](https://agentmods.dev/commands/altimateai/altimate-claude-plugin/altimate)
Your own site
<a href="https://agentmods.dev/commands/altimateai/altimate-claude-plugin/altimate"><img src="https://agentmods.dev/badge/commands/altimateai/altimate-claude-plugin/altimate.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 919 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00033 $0.00919
Opus 5 $0.00016 $0.00460
Sonnet 5 $0.00007 $0.00184
Haiku 4.5 $0.00003 $0.00092

Measured 4d ago against content hash c42afba40d08, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

altimate 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 4d 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.

plugins/altimate-code/commands/altimate.md · 69 lines

What it actually says

The user explicitly invoked /altimate to delegate this task to altimate-code. You MUST run the task via the altimate-code CLI — do NOT attempt the work with native Bash/Edit/Write tools.

Workflow (follow in order, no skipping):

  1. Verify altimate-code is installed:

    command -v altimate-code
    

    If it returns nothing, stop and tell the user:

    altimate-code is not installed. Install with npm install -g altimate-code (Node 20+), then run altimate-code once to configure your provider/warehouse auth, then re-run /altimate <task>.

  2. Pick the agent persona based on the user's task shape. Start cheap and escalate on failure — fast-edit handles most dbt/SQL work at 10–20× lower cost than builder.

    Task shape Use --agent
    Any dbt / SQL task (rename, refactor, create, debug, structural) fast-edit (default)
    Aggregation correctness on multi-table joins analyst if fast-edit fails the user's verification
    Warehouse-state work (lineage, cost, parity, schema diff, PII, FinOps) builder
    Vague debug ("X is broken") Stop — ask the user for the specific error before delegating.

    Decision rule: start with fast-edit. Only use analyst / builder when the cheap path fails for a documented reason.

  3. Run altimate-code with the chosen agent. Pass $ARGUMENTS through a here-doc into a variable so the shell never command-substitutes anything the user typed, and write the result to a private mktemp file (not a shared /tmp/altimate-result.md — concurrent invocations clobber each other and a world-readable fixed path leaks warehouse rows or PII):

    TASK="$(cat <<'ALTIMATE_TASK'
    $ARGUMENTS
    ALTIMATE_TASK
    )"
    umask 077
    OUTPUT_FILE="$(mktemp -t altimate-result.XXXXXX.md)"
    altimate-code run "$TASK" \
      --agent <fast-edit|analyst|builder> \
      --yolo \
      --output "$OUTPUT_FILE" \
      --dir "$(pwd)"
    

    If this is a follow-up task in the same project (the user invoked /altimate already in this conversation about the same dbt project / warehouse / data context), add --continue to resume the warm session — cache is hot, follow-on cost is materially lower:

    TASK="$(cat <<'ALTIMATE_TASK'
    $ARGUMENTS
    ALTIMATE_TASK
    )"
    umask 077
    OUTPUT_FILE="$(mktemp -t altimate-result.XXXXXX.md)"
    altimate-code run "$TASK" \
      --agent <fast-edit|analyst|builder> \
      --yolo --output "$OUTPUT_FILE" --dir "$(pwd)" \
      --continue
    

    Skip --continue if the user switched projects, switched debugging threads, or this is the first /altimate invocation in the conversation.

  4. Surface the result verbatim: read "$OUTPUT_FILE" and present its contents to the user without re-summarising, re-formatting, or commenting. altimate-code has already produced the answer. Delete "$OUTPUT_FILE" after presenting so warehouse rows, lineage, or PII findings don't linger on disk.

  5. On any altimate-code error (Unauthorized, Token limit reached, No provider configured, warehouse credentials wrong, process timeout) — surface the error message to the user along with the fix from the skill body's failure-modes table. Do NOT fall back to native tools. The user invoked /altimate specifically to use altimate-code; falling back would defeat the purpose.

Task to delegate: $ARGUMENTS

Changes

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.

  1. 4d ago First seen · 69 lines · 33 tokens per session scan A c42afba40d08

Subscribe to this mod's changes

altimate is a command published in the GitHub repository AltimateAI/altimate-claude-plugin (4 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 919 once invoked, about $0.0002 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.