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.
git clone --depth 1 https://github.com/getcargohq/cargo-skillsnpx agentmods add skills/getcargohq/cargo-skills/cargo-contentWrote 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-content)<a href="https://agentmods.dev/skills/getcargohq/cargo-skills/cargo-content"><img src="https://agentmods.dev/badge/skills/getcargohq/cargo-skills/cargo-content/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-content"><img src="https://agentmods.dev/badge/skills/getcargohq/cargo-skills/cargo-content.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
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 40 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]
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 | $0.00166 | $0.02558 |
| Opus 5.5 | $0.00066 | $0.01023 |
| Sonnet 5.5 | $0.00033 | $0.00512 |
| Haiku 4.5 | $0.00017 | $0.00256 |
Grade A, and why
cargo-content 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cargo CLI — Content
Workspace files: upload and organize them (PDFs, CSVs, text) and group or sync them into libraries — the knowledge resources that ground agent responses (retrieval-augmented generation, RAG). Files are also plain storage: write one at a path, read it back, list a folder, and hand out a link, from the CLI, the HTTP objects API, a hosted worker, a workflow node, or an agent — see Files as storage.
New top-level domain (CLI ≥ 1.0.19). Files and libraries moved out of the
aidomain into thecontentdomain —cargo-ai content file …andcargo-ai content library …. The oldcargo-ai ai file …commands no longer exist; anunknown commanderror means you're on the old path.
For attaching a file or library to an agent (via the release
resourcesarray), usecargo-ai. For folders that organize files, usecargo-workspace-management(cargo-ai workspaceManagement folder …). For batch-run input files (CSVs uploaded to drive a batch), that's a different surface —cargo-ai workspaceManagement file upload— documented incargo-workspace-management.
See
references/examples/files.mdfor end-to-end file, library, and attach-to-agent examples. Seereferences/objects.mdfor files as storage: the path model, storage settings and their per-surface defaults, signed and public links, the context mirror, and the HTTP / worker / node / agent surfaces. Seereferences/response-shapes.mdfor full JSON response structures. Seereferences/troubleshooting.mdfor common errors and how to fix them.
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
What ships with it
5 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.
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.
- 3d ago Changed · +31 lines · +37 tokens per session ddab3b198136
- 9d ago Changed d0f383fab787
- 1mo ago First seen · 121 lines · 129 tokens per session scan A 7591be883bd5
cargo-content is a skill published in the GitHub repository getcargohq/cargo-skills (20 stars, last pushed yesterday), licensed MIT. It adds 166 tokens to every session and 2,558 once invoked, about $0.0007 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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