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 agentmods add skills/ramp-public/cursor-plugin/agentic-purchasenpx skills add ramp-public/cursor-plugin --skill agentic-purchasegit clone --depth 1 https://github.com/ramp-public/cursor-pluginWrote 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/ramp-public/cursor-plugin/agentic-purchase)<a href="https://agentmods.dev/skills/ramp-public/cursor-plugin/agentic-purchase"><img src="https://agentmods.dev/badge/skills/ramp-public/cursor-plugin/agentic-purchase.svg" alt="Measured on agentmods" 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 | $0.00095 | $0.03297 |
| Opus 5 | $0.00048 | $0.01648 |
| Sonnet 5 | $0.00019 | $0.00659 |
| Haiku 4.5 | $0.00010 | $0.00330 |
Grade A, and why
agentic-purchase 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 — 317 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Purchase
End-to-end agent card purchasing: pick a fund, get a payment token via ramp CLI, pay via browser, then fill all missing transaction items.
Access & Enrollment
Agent Cards are available via self-serve enrollment. If the user's business is not yet enrolled — or the user asks about availability, how to get started, or hits eligibility errors — enroll them using the CLI:
ramp funds enroll --agent
This enrolls the authenticated user's business in Agent Cards for agentic commerce. The user must be authenticated (ramp auth login) and have appropriate permissions on their Ramp business. Once enrollment succeeds, the user can immediately use funds list and funds creds to access their agent card funds.
For more information, visit https://agents.ramp.com/cards.
Use this guidance for:
- "What are Agentic Cards?" or "How do I get agent cards?"
- Access, availability, enrollment, or setup questions
- Users who hit eligibility errors when running
funds listorfunds creds
If the user is already enrolled, proceed with the workflow below.
Prerequisites
rampCLI installed and authenticated (ramp auth login)browser-automationskill available for browser checkout- Business enrolled in Agent Cards (see Access & Enrollment to enroll if not)
CLI conventions
- Pass
--agentfor machine-readable JSON output (documented shape is top-level, immediately afterramp:ramp --agent funds list) - Use positional arguments where supported (e.g.,
ramp --agent funds creds <fund_uuid>,ramp --agent transactions missing <transaction_uuid>) - Use
--jsonfor complex payloads (e.g.,ramp --agent transactions edit) - Every subcommand accepts
--rationale,--json,--dry_run(-n), and--help
Hard rules
- Two distinct amount thresholds — respect both:
- User preauth tolerance: policy-level, ~10% over requested. Stop and re-ask if exceeded.
- Visa cryptogram auth cap: the cryptogram from
ramp --agent funds creds ... --amount Xrejects any charge > X at the network level — even $0.01 over declines. If the merchant's final total exceeds the cryptogram amount (bag fees, surprise tax, currency conversion), the old cryptogram is unusable — burn it, pull fresh creds at the corrected amount, and re-preauth if the new amount exceeds the user's original 10% tolerance.
- Run the browser headed, never
--headless. Purchase flows need the user able to see and intervene — bot checks, 3DS, and login walls all require human input. Seebrowser-automationfor the headed-default rule. - Stop if anything unexpected happens. 3DS challenge, login wall, CAPTCHA, bot-block page, merchant form you can't parse → screenshot, hand off to the user via the visible Chrome window per the human-handoff pattern in
browser-automation, and wait. Do not retry blindly.
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 First seen · 317 lines · 95 tokens per session scan A 6bc5c2226c3d
agentic-purchase is a skill published in the GitHub repository ramp-public/cursor-plugin (1 stars, last pushed 1mo ago), licensed MIT. It adds 95 tokens to every session and 3,297 once invoked, about $0.0005 per session on Opus 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 2026-08-31.
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