cargo-gtm

cargo-gtm is a skill for Claude Code from getcargohq/cargo-skills. It costs 441 tokens per session (8,852 once invoked), scanned B, original, MIT.

A set of Cargo tools for business-to-business go-to-market work, such as researching companies and finding, checking, scoring, and organizing professional contacts. Cargo is a platform that connects these jobs to licensed data providers and business systems.

In plain words
What is it for?
Use it to research accounts and buying groups, enrich and verify business contact records, qualify leads, monitor buying signals, draft permission-based messages, sync data to a CRM, and activate campaigns in the user's own sequencer.
Why use it?
It provides a defined process for handling contact data responsibly, including checking consent, removing suppressed contacts, and ensuring outreach is relevant. It also prevents broad unsolicited targeting and other disallowed outreach practices.

Skill for Claude Code

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

Part of the cargo plugin — 19 skills, 2 agents shipped together

Good fit Use it to research accounts and buying groups, enrich and verify business contact records, qualify leads, monitor buying signals, draft permission-based messages, sync data to a CRM, and activate campaigns in the user's own sequencer.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/getcargohq/cargo-skills/cargo-gtm
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.

Any agent
npx skills add getcargohq/cargo-skills --skill cargo-gtm
Clone the repo
git clone --depth 1 https://github.com/getcargohq/cargo-skills

Made for: Claude Code.

Or install cargo, the plugin that ships this one along with the rest of its 19 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-gtm

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/getcargohq/cargo-skills/cargo-gtm"><img src="https://agentmods.dev/badge/skills/getcargohq/cargo-skills/cargo-gtm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 441 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,852 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 13 May 2026
  • Snyk warn 13 May 2026
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 $0.00441 $0.08852
Opus 5 $0.00220 $0.04426
Sonnet 5 $0.00088 $0.01770
Haiku 4.5 $0.00044 $0.00885

Measured 7d ago against content hash db9c827f4df9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

cargo-gtm scanned grade B with 1 finding 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 7d 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.

Strips warnings and disclaimersmediumAnti-refusal

Omitting safety caveats hides risk from the user and is a common jailbreak preamble.

- **Refuse and say why**: undifferentiated fan-out ("email everyone in `<industry>`"), contacting a suppressed record, filter evasion or disguised sender identity, auto-dialing and SMS blasts, batch-blasting LinkedIn eng
cargo-gtm/SKILL.md · 291 lines

How it starts

The opening of the file, as written. The whole thing — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cargo GTM — Meta Skill

Use this skill for prospecting, account research, contact enrichment, verification, lead scoring, personalization, signal monitoring, and campaign activation.

Acceptable use — MANDATORY, before anything that touches a person

Full spec: references/acceptable-use.md. The short version, binding on every recipe here:

  • B2B professional identities only, from the licensed providers in provider-playbooks/ — never consumer targeting, purchased lists, or data taken from a platform in breach of its terms.
  • Three checks before any outreach stepbasis (customers, opted-in contacts, event attendees, or a documented legitimate-interest case), suppression (filter on unsubscribe / DNC / hard-bounce before enriching or sending), relevance (name, per recipient, why this message is for them). Any check that fails is a stop-and-ask, not a warning.
  • Refuse and say why: undifferentiated fan-out ("email everyone in <industry>"), contacting a suppressed record, filter evasion or disguised sender identity, auto-dialing and SMS blasts, batch-blasting LinkedIn engagement actions. Offer the compliant version once — state it, don't lecture.
  • This skill never sends. Outreach recipes stop at send-ready variables and hand off to the user's own sequencer, under that sequencer's limits, domains, and identities. Copy it drafts must carry an honest sender and subject, a working opt-out, and a postal address where the jurisdiction requires one.

Bootstrap

Already signed in (cargo-ai whoami returns a workspace)? Skip to the next section.

npm install -g @cargo-ai/cli            # no global install? prefix every command with `npx @cargo-ai/cli`
cargo-ai login --email [email protected]  # emailed code, no browser; creates the account on first use
                                        # alternatives: --oauth (browser) · --token <api-token> (CI)
cargo-ai whoami                         # confirm the active workspace before any write

Read the full file on GitHub · 291 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago Changed · +4 lines · +4 tokens per session db9c827f4df9
  2. 11d ago First seen · 287 lines · 437 tokens per session scan B a5d8dde850ef

Subscribe to this mod's changes

cargo-gtm is a skill published in the GitHub repository getcargohq/cargo-skills (17 stars, last pushed today), licensed MIT. It adds 441 tokens to every session and 8,852 once invoked, about $0.0022 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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