affaan-m/ECC

ito-compute

Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, and run explicitly gated node qualification through the separately installed canonical CLI. Use when a user asks to find H100/H200 capacity, request a fixed compute rate, check Itô compute status, or validate GPU nodes.

83CollectingNetwork accessRuns scripts
See how to use itView GitHub source
npx skills add https://github.com/affaan-m/ECC --skill "skills/ito-compute"
Automated source guide

Source checked Jul 28, 2026·Refresh due Oct 26, 2026

Reorganized from the pinned upstream SKILL.md

Turn ito-compute's source instructions into a guide you can follow

According to the pinned SKILL.md from affaan-m/ECC: Use the canonical Itô compute CLI or MCP server. ECC does not implement a parallel client, browser handoff, local simulation, reservation, workload runner, or inference server.

npx skills add https://github.com/affaan-m/ECC --skill "skills/ito-compute"
Check the pinned source

Best fit

  • Use when a user asks to find H100/H200 capacity, request a fixed compute rate, check Itô compute status, or validate GPU nodes.
  • Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, and run explicitly gated node qualification through the separately installed canonical CLI. Use when a user asks to find H100/H200 capacity, request a fixed compute rate, check Itô compute status, or validate GPU nodes.

Bring this context

  • A concrete task that matches the documented purpose of ito-compute.
  • The files, examples, or context the task depends on.
  • Your constraints, target environment, and definition of done.

Expected outputs

  • A result that follows the pinned ito-compute instructions.
  • A concise record of assumptions, inputs used, and unresolved questions.
  • A final check against the source workflow and relevant permission signals.

Key source sections

Read ito-compute through these 5 source sections

Sections are extracted automatically from the pinned SKILL.md and link back to the source.

01

CLI workflow

1. Run ecc ito auth before the first operation. 2. Before ecc ito find, obtain explicit buyer authority to submit an RFQ. - Require gpu, count, whole days, max-rate, nodes, gpus-per-node, storage-tb, start-window, form-factor, contract-type, fabric, region, and the split-fill de…

SKILL.md · CLI workflow
Run ecc ito auth before the first operation.Before ecc ito find, obtain explicit buyer authority to submit an RFQ.Require gpu, count, whole days, max-rate, nodes,
02

MCP workflow

Build the canonical package, then configure the stdio server with an absolute path:

SKILL.md · MCP workflow
itoauthitofinditostatus
03

Install the canonical local package

ito-compute-cli is currently unpublished. Build it from its canonical repository instead of using npx, npm exec, or an unverified package:

SKILL.md · Install the canonical local package
ito-compute-cli is currently unpublished. Build it from its canonical repository instead of using npx, npm exec, or an unverified package:Set ECCITOCLIEXECUTABLE to the explicit absolute built entry:ECC never discovers this credential-bearing client through PATH. Inject ITOAPIKEY through 1Password or the launching process environment. Never put it in arguments, tracked files, MCP results, logs, or chat.
04

Live node qualification

ecc ito evals exposes the canonical CLI's narrow live adapter to a separately installed sixtytwo-cli==0.3.33. It does not expose local fixture execution through ECC. Require all of the following before invoking it:

SKILL.md · Live node qualification
operator authorization to contact the named nodes;ITOENABLESIXTYTWOLIVE=1;--live-sixtytwo;
05

Unsupported operations

The supported client surface cannot lock quotes, reserve capacity, execute workloads, or serve inference. The MCP server does not expose qualification; use the explicit CLI command above. Do not invent additional tools or a purchase path. Do not substitute a browser or fixture w…

SKILL.md · Unsupported operations
The supported client surface cannot lock quotes, reserve capacity, execute workloads, or serve inference. The MCP server does not expose qualification; use the explicit CLI command above. Do not invent additional tools…

SkillSignal prompt templates

Provide the task, context, and acceptance criteria

These prompts were written by SkillSignal from the source structure; they are not upstream text.

Task-start prompt

Confirm source fit, inputs, and outputs before acting.

Use ito-compute to help me with: [specific task]. Context: [files, data, or background]. Constraints: [environment, scope, and prohibited actions]. Before acting, check the pinned SKILL.md and explain which sections apply, what inputs are still missing, and what you will deliver.

Source-guided execution

Make the Agent explicitly follow the key extracted sections.

Apply the pinned ito-compute source to [task]. Pay particular attention to these source sections: “CLI workflow”, “MCP workflow”, “Install the canonical local package”, “Live node qualification”, “Unsupported operations”. Preserve the important decision at each step. Mark facts not covered by the source as “needs confirmation” instead of inventing them. Then verify the result against my acceptance criteria: [criteria].

Result-review prompt

Check omissions, permissions, and source drift before delivery.

Review the current ito-compute result: (1) does it satisfy the original task; (2) were any applicable steps or limits in the pinned SKILL.md missed; (3) did it perform any unauthorized file, command, network, or data action; and (4) which conclusions remain unverified? List issues first, then fix only what the source or user authorization supports.

Output checklist

Verify each item before delivery

The task matches the purpose documented in the SKILL.md.

The source section “CLI workflow” has been checked.

The source section “MCP workflow” has been checked.

The source section “Install the canonical local package” has been checked.

The source section “Live node qualification” has been checked.

Inputs, constraints, and acceptance criteria are explicit.

Unverified facts, compatibility, and outcome claims are clearly marked.

Any file, command, network, or data action has been reviewed.

Choose a different workflow

When another Skill is the better fit

FAQ

What does ito-compute do?

Use the canonical Itô compute CLI or MCP server. ECC does not implement a parallel client, browser handoff, local simulation, reservation, workload runner, or inference server.

How do I start using ito-compute?

The catalog detected this source-specific install command: npx skills add https://github.com/affaan-m/ECC --skill "skills/ito-compute". Inspect the command and pinned source before running it.

Which Agent platforms does it declare?

No dedicated Agent platform is declared in the pinned source record.

Repository stars
234,327
Repository forks
35,711
Quality
83/100
Source repository last pushed

Quality breakdown

Based on traceable docs and repository signals; stars are not treated as quality.

83/100
Documentation26/30
Specificity18/25
Maintenance20/20
Trust signals19/25

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View original Skill.mdThis page is parsed directly from the repository SKILL.md without editorial rewriting. Collected: Jul 28, 2026 · about 3 min

Itô Compute

Use the canonical Itô compute CLI or MCP server. ECC does not implement a parallel client, browser handoff, local simulation, reservation, workload runner, or inference server.

Install the canonical local package

ito-compute-cli is currently unpublished. Build it from its canonical repository instead of using npx, npm exec, or an unverified package:

git clone https://github.com/Ito-Markets/ito-cloud-runtime.git
cd ito-cloud-runtime/cli/ito-compute-cli
npm ci
npm run check

Set ECC_ITO_CLI_EXECUTABLE to the explicit absolute built entry:

/absolute/path/to/ito-cloud-runtime/cli/ito-compute-cli/dist/bin/ito.js

ECC never discovers this credential-bearing client through PATH. Inject ITO_API_KEY through 1Password or the launching process environment. Never put it in arguments, tracked files, MCP results, logs, or chat.

CLI workflow

  1. Run ecc ito auth before the first operation.

  2. Before ecc ito find, obtain explicit buyer authority to submit an RFQ.

    • Require gpu, count, whole days, max-rate, nodes, gpus-per-node, storage-tb, start-window, form-factor, contract-type, fabric, region, and the split-fill decision.
    • Require count == nodes * gpus-per-node; never derive topology.
    • Use any only when the buyer explicitly accepts any fabric or region.
    • Omitted --allow-split means false.
  3. Run the live RFQ command:

    ecc ito find \
      --gpu h200 \
      --count 8 \
      --nodes 1 \
      --gpus-per-node 8 \
      --days 30 \
      --storage-tb 1 \
      --start-window 2099-08-15 \
      --max-rate 3.00 \
      --form-factor bare_metal \
      --contract-type reservation \
      --fabric infiniband \
      --region us-east-1
    
  4. Run ecc ito status to inspect RFQs and procurement orders. After an ambiguous transport failure, check status before repeating find.

Inventory prices are indicative. An RFQ is not reserved capacity. Treat a rate as fixed only when the canonical result contains a non-null firm quote.

Live node qualification

ecc ito evals exposes the canonical CLI's narrow live adapter to a separately installed sixtytwo-cli==0.3.33. It does not expose local fixture execution through ECC. Require all of the following before invoking it:

  • operator authorization to contact the named nodes;
  • ITO_ENABLE_SIXTYTWO_LIVE=1;
  • --live-sixtytwo;
  • an explicit node list; and
  • an existing absolute config directory containing sixtytwo.yaml.
ecc ito evals \
  --cluster clu_prod_example \
  --live-sixtytwo \
  --nodes gpu-01,gpu-02 \
  --config-dir /absolute/path/to/qualification-config

The canonical adapter can run only the pinned version check and sixtytwo test --full against the explicit nodes. It cannot rent, launch, recover, repair, reset, purchase, or order resources. ECC does not forward ITO_API_KEY or model/cloud credentials into node qualification.

MCP workflow

Build the canonical package, then configure the stdio server with an absolute path:

{
  "mcpServers": {
    "ito-compute": {
      "command": "node",
      "args": [
        "/absolute/path/to/ito-cloud-runtime/cli/ito-compute-cli/dist/bin/ito-mcp.js"
      ]
    }
  }
}

The server exposes only:

  • ito_auth
  • ito_find
  • ito_status

Use ito_auth, gather explicit buyer authority and every hard constraint, call ito_find, then poll with ito_status when needed.

Unsupported operations

The supported client surface cannot lock quotes, reserve capacity, execute workloads, or serve inference. The MCP server does not expose qualification; use the explicit CLI command above. Do not invent additional tools or a purchase path. Do not substitute a browser or fixture when the local CLI is missing or a live operation fails. Report the missing capability and stop.

Source repo
affaan-m/ECC
Skill path
skills/ito-compute/SKILL.md
Commit SHA
4e973d3eaf92
Repository license
MIT
Data collected