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 commands/altimateai/altimate-claude-plugin/altimategit clone --depth 1 https://github.com/AltimateAI/altimate-claude-pluginWrote 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/commands/altimateai/altimate-claude-plugin/altimate)<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>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 | $0.00033 | $0.00919 |
| Opus 5 | $0.00016 | $0.00460 |
| Sonnet 5 | $0.00007 | $0.00184 |
| Haiku 4.5 | $0.00003 | $0.00092 |
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.
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):
-
Verify altimate-code is installed:
command -v altimate-codeIf it returns nothing, stop and tell the user:
altimate-code is not installed. Install with
npm install -g altimate-code(Node 20+), then runaltimate-codeonce to configure your provider/warehouse auth, then re-run/altimate <task>. -
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 --agentAny dbt / SQL task (rename, refactor, create, debug, structural) fast-edit(default)Aggregation correctness on multi-table joins analystif fast-edit fails the user's verificationWarehouse-state work (lineage, cost, parity, schema diff, PII, FinOps) builderVague debug ("X is broken") Stop — ask the user for the specific error before delegating. Decision rule: start with
fast-edit. Only useanalyst/builderwhen the cheap path fails for a documented reason. -
Run altimate-code with the chosen agent. Pass
$ARGUMENTSthrough a here-doc into a variable so the shell never command-substitutes anything the user typed, and write the result to a privatemktempfile (not a shared/tmp/altimate-result.md— concurrent invocations clobber each other and a world-readable fixed path leaks warehouse rows or PII):TASK="$(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 "$(pwd)"If this is a follow-up task in the same project (the user invoked
/altimatealready in this conversation about the same dbt project / warehouse / data context), add--continueto resume the warm session — cache is hot, follow-on cost is materially lower:TASK="$(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 "$(pwd)" \ --continueSkip
--continueif the user switched projects, switched debugging threads, or this is the first/altimateinvocation in the conversation. -
Surface the result verbatim: read
"$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. -
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/altimatespecifically to use altimate-code; falling back would defeat the purpose.
Task to delegate: $ARGUMENTS
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.
- 4d ago First seen · 69 lines · 33 tokens per session scan A c42afba40d08
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.
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monitor-ci
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config
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database-setup
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ingest
Manually add knowledge to the Weaviate store.