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 skills add getcargohq/cargo-skills --skill cargo-quickstartgit clone --depth 1 https://github.com/getcargohq/cargo-skillsWrote 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/skills/getcargohq/cargo-skills/cargo-quickstart)<a href="https://agentmods.dev/skills/getcargohq/cargo-skills/cargo-quickstart"><img src="https://agentmods.dev/badge/skills/getcargohq/cargo-skills/cargo-quickstart/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.
<a href="https://agentmods.dev/skills/getcargohq/cargo-skills/cargo-quickstart"><img src="https://agentmods.dev/badge/skills/getcargohq/cargo-skills/cargo-quickstart.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00142 | $0.02386 |
| Opus 5 | $0.00071 | $0.01193 |
| Sonnet 5 | $0.00028 | $0.00477 |
| Haiku 4.5 | $0.00014 | $0.00239 |
Grade A, and why
cargo-quickstart scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsS "$url" | jq --arg u "$run_uuid" '[.[] | select(._uuid==$u)][0].output' How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cargo Quickstart — first value in two minutes
One guided demo: size the user's addressable market for free, pull 25 of those accounts, show the cost receipt, then save the pull as a recurring play. The point is not the list — it's that in minute 3 the user owns a running system, not a one-off result.
A new account starts with 100 free credits — no card. This demo spends about 0.25 of them. Say that out loud before the first paid call ("this costs a quarter of a credit of your 100 free ones"): it converts the moment from a purchase decision into a look around, which is the whole job of a quickstart. Never let a new user think the demo is why they'd run out.
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
Every command prints JSON to stdout; failures exit non-zero with {"errorMessage": "..."}. Anything that creates a run or a batch is async — pass --wait-until-finished or poll the matching get. When the full skill bundle is installed, ../cargo/references/prerequisites.md adds the CLI version pin, token scopes, and the admin-only surface.
The one question
Ask exactly one question before doing anything:
"Who do you sell to?" (a persona in a few words — e.g. "Heads of RevOps at mid-market SaaS")
Everything else — provider, filters, limits — you decide. Don't ask about output format, volume, or providers; defaults below.
Speed budget — HARD RULES
The demo has a two-minute budget from answer to deliverable. On the fast path:
- No discovery detours. Do not run
cargo-ai --version,cargo-ai whoami,connection connector list, or any exploratory command first. Auth problems will surface as errors on the first real call — handle them then. - One command block per step, no narration between commands.
- Paid work is capped at ~1 credit total. The demo uses the cheapest account search in the catalog (
aiArk.searchCompanies, 0.01/record → 25 records = 0.25 credits) on cargo's managed connection, so it works on a workspace with nothing wired up yet. Nothing else paid runs without asking. - Never dead-end. Every step has a fallback (ladder below). If a rung fails, drop one rung silently and keep moving.
What ships with it
1 file beside cargo-quickstart.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.
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.
- 5d ago Changed · +10 lines · +6 tokens per session 2e1cc1766392
- 9d ago First seen · 110 lines · 136 tokens per session scan A bdd4e010b7a6
cargo-quickstart is a skill published in the GitHub repository getcargohq/cargo-skills (17 stars, last pushed 3d ago), licensed MIT. It adds 142 tokens to every session and 2,386 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
everme-memory
Use EverMe cloud memory proactively when the user refers to previous conversations, earlier decisions, "last time", "remember when", existing project conventions, or previously solved errors, and save durable user preferences, habits, and decisions the moment they are stated. Do not repeat a search when the host…
memory-tools
Use EverMe memory proactively when the user refers to previous conversations, earlier decisions, "last time", "remember when", existing project conventions, or previously solved errors, and save durable user preferences, habits, and decisions the moment they are stated. Do not repeat a search when a non-empty block…
memory-recall
Session-start primer that tells Kimi how EverMe's automatic cross-session memory works and how to treat the injected recall/profile context.
gtm-engineering
When the user wants to build GTM automation with code, design workflow architectures, use AI agents for GTM tasks, or implement the 'architecture over tools' principle. Also use when the user mentions 'GTM engineering,' 'GTM automation,' 'n8n,' 'Make,' 'Zapier,' 'workflow automation,' 'Clay API,' 'instruction stacks,'…
ai-sdr
When the user wants to deploy AI sales development reps, automate sales qualification, build signal-to-action routing, or design AI agent architecture for sales. Also use when the user mentions 'AI SDR,' 'AI sales agent,' 'automated qualification,' 'signal routing,' 'sales automation,' '11x,' 'Artisan,' 'AiSDR,' 'AI…
partner-affiliate
When the user wants to build a partner program, launch an affiliate program, design integration partnerships, or create distribution partnerships. Also use when the user mentions 'partnerships,' 'affiliate program,' 'referral program,' 'partner ecosystem,' 'integration partner,' 'reseller,' 'co-marketing,'…