cargo-orchestration

cargo-orchestration is a skill for Claude Code from getcargohq/cargo-skills. It costs 205 tokens per session (9,262 once invoked), scanned A, original, MIT.

A command-line toolkit for running and inspecting actions and workflows in Cargo, a platform for connecting data sources and AI agents. It can handle one record, many records, chained steps, agents, diagrams, and runtime data.

In plain words
What is it for?
Use it to find available integrations, run actions, start one-off or reusable workflows, process batches, message an AI agent, test a workflow node, create diagrams, and inspect runs, batches, or execution details.
Why use it?
It removes the need to remember separate commands or hand-write requests for different kinds of Cargo runs. It also helps prevent large jobs from starting before a small sample has been checked and approved.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: built for openclaw.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is approval message ([`../cargo-gtm/references/cost-discipline.md`](../cargo-gtm/references/cost-discipline.md) §1)..

Part of the cargo plugin — 20 skills, 2 agents shipped together

Good fit Use it to find available integrations, run actions, start one-off or reusable workflows, process batches, message an AI agent, test a workflow node, create diagrams, and inspect runs, batches, or execution details.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/getcargohq/cargo-skills
agentmods
npx agentmods add skills/getcargohq/cargo-skills/cargo-orchestration

Made for: Claude Code.

Or install cargo, the plugin that ships this one along with the rest of its 20 skills, 2 agents.

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 cargo-orchestration

README.md
[![agentmods](https://agentmods.dev/badge/skills/getcargohq/cargo-skills/cargo-orchestration/github.svg)](https://agentmods.dev/skills/getcargohq/cargo-skills/cargo-orchestration)
Your own site
<a href="https://agentmods.dev/skills/getcargohq/cargo-skills/cargo-orchestration"><img src="https://agentmods.dev/badge/skills/getcargohq/cargo-skills/cargo-orchestration/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.

agentmods 80×15 button for cargo-orchestration

Your own site · 80×15
<a href="https://agentmods.dev/skills/getcargohq/cargo-skills/cargo-orchestration"><img src="https://agentmods.dev/badge/skills/getcargohq/cargo-skills/cargo-orchestration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 205 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,262 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 30 Oct 2026
  • Snyk warn 4 Nov 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 114
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
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 5.1 $0.00205 $0.09262
Opus 5.5 $0.00082 $0.03705
Sonnet 5.5 $0.00041 $0.01852
Haiku 4.5 $0.00020 $0.00926

Measured yesterday against content hash 854a47cf56cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cargo-orchestration 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 yesterday.

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.

cargo-orchestration/SKILL.md · 585 lines

How it starts

The opening of the file, as written. The whole thing — 585 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cargo CLI — Orchestration

Runtime operations for the Cargo platform.

What do you want to run?

Need to run something?
├── Don't know the action yet    → action list <keywords>
├── One action, one record       → action execute
├── One action, many records     → action execute-batch
├── Multiple actions chained
│   ├── One-off / ad-hoc         → run create --nodes (one record)
│   │                              batch create --nodes (many records)
│   └── Reusable workflow        → build a tool, then run create --workflow-uuid
│                                  or batch create --workflow-uuid
├── Conversational AI agent      → message create
└── Testing ONE node of a
    workflow you're building     → node execute (debug only — see below)

Fanning out across many records (action execute-batch, batch create)? Sample first. Run 10–20 records, report the observed cost and hit-rate, then ask the user to approve the full enrollment — quoting the record count and the credit estimate. See Create a batch → the sample gate.

Every node execution costs 0.01 credits — 1 credit per 100 — whatever the node is. branch, filter, switch, variables and the rest carry no provider price, but they are not free: the charge is per execution, so a graph's cost has two terms, (provider cost × records) + (nodes × records ÷ 100). On step-heavy, action-light graphs the second term dominates. It shows up in no per-node field — not executions[].creditsUsedCount, not spans.execution_credits_used_count — only in billing usage get-metrics --unit orchestration.executions. Quote both terms in the approval message (../cargo-gtm/references/cost-discipline.md §1).

Find the action before you hand-write the JSON. cargo-ai orchestration action list <keywords> searches the integration catalog, Cargo native actions, workspace tools, and agents in one call — free, runs nothing — and each result carries a ready-to-paste action object (with connectorUuid already filled in), the action's credit costs, and its autocomplete slugs. Narrow with --kind connector|native|tool|agent, --integration-slug <slug>, --limit (no default: omit it and every match comes back). unknown command means the CLI predates it — refresh.

action execute, not node execute, is the default for running something. node execute is a debug surface for a node that already lives in a workflow: it requires --workflow-uuid, --release-uuid, --node, --computed-config and --context (all five, enforced client-side), and it bills like any live call. If you just want an operation's output — enrich a domain, call a connector action, invoke a tool or agent — use action execute / action execute-batch with a small --action + --data payload. Only reach for node execute when verifying one node's behavior before running the full graph.

Terminology: An orchestration tool is a saved on-demand workflow (listed via tool list). An action is a single operation you execute without building a workflow — it can embed a saved orchestration tool (kind: "tool"), call a third-party connector (kind: "connector"), invoke an AI agent (kind: "agent"), or run a built-in platform operation (kind: "native").

Composing a node graph? Build it from dedicated actions + expressions, in this order:

  1. A dedicated action. Search first with action list <keywords> (free): connector actions, native actions (agent, modelUpsert, branch, group…), tools.
  2. An expression for the glue. It's inline JavaScript in the field that needs the value: reshaping, payloads, conditions, arrays.
  3. HTTP, only if step 1 found no action for that API.
  4. A script node, only if the logic can't fit in an expression.

See references/node-selection.md.

Show the graph, don't describe it. Before deploying a draft, and whenever the user asks what a workflow or play does, draw it: cargo-ai orchestration node diagram --workflow-uuid <uuid> --format ascii --raw (free, runs nothing; --format needs CLI ≥ 1.0.56, the command itself ≥ 1.0.54). Routing, fallback edges, and which steps bill are what the user is actually approving, and prose flattens all three. Pick the format by where the output goes: ascii renders a picture a person can read in a terminal or a chat reply; mermaid (the default) is source code, correct only when you are pasting into a PR, a doc, or a page that renders it. Sources, the ASCII legend, cost marking, and the duplicate-slug footgun: references/node-diagram.md.

Read the full file on GitHub · 585 lines

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. yesterday Changed · -6 tokens per session 854a47cf56cf
  2. 6d ago Changed · +7 lines 7b3b6e725624
  3. 12d ago Changed fa7a960955c9
  4. 13d ago Changed · +45 lines 45067616202e
  5. 19d ago Changed bf86fc288372
  6. 1mo ago Changed · +3 lines 68d15153c68a
  7. 1mo ago Changed 8f772c41d324
  8. 1mo ago Changed · +8 lines ea0531c31525
  9. 1mo ago Changed · -1 tokens per session d58dfecf199c
  10. 1mo ago First seen · 522 lines · 212 tokens per session scan A 76e79e356abf

Subscribe to this mod's changes

cargo-orchestration is a skill published in the GitHub repository getcargohq/cargo-skills (21 stars, last pushed yesterday), licensed MIT. It adds 205 tokens to every session and 9,262 once invoked, about $0.0008 per session on Opus 5.5. 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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