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 ramp-public/cursor-plugin --skill apply-to-rampgit 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/apply-to-ramp)<a href="https://agentmods.dev/skills/ramp-public/cursor-plugin/apply-to-ramp"><img src="https://agentmods.dev/badge/skills/ramp-public/cursor-plugin/apply-to-ramp/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/ramp-public/cursor-plugin/apply-to-ramp"><img src="https://agentmods.dev/badge/skills/ramp-public/cursor-plugin/apply-to-ramp.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 | $0.00052 | $0.04447 |
| Opus 5 | $0.00026 | $0.02224 |
| Sonnet 5 | $0.00010 | $0.00889 |
| Haiku 4.5 | $0.00005 | $0.00445 |
Grade A, and why
apply-to-ramp 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 8d 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 — 466 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ramp Financing Application Workflow
Use ramp applications create for the signup flow and the generated
ramp applications operations for an OAuth-authorized business's existing
application. The unified agent-tool OpenAPI document defines available
operations, fields, accepted values, and OAuth scopes. Developer API responses
are canonical for current workflow state, actor ownership, and validation.
Choose The Flow
Determine whether the human wants to start a new application or continue an existing one. Ask if the intent is unclear.
Use production by default. Only use sandbox when the human explicitly asks
for a test application or test workflow. The command examples below use
--env production; substitute --env sandbox for that explicitly requested
test flow.
For a new application:
-
State that production starts a real signup and underwriting process. If the human requested a test, state that the workflow will use sandbox instead.
-
Inspect the current create schema and example:
ramp applications schema --env production --agent ramp applications create --env production --example --agent -
Assemble a payload using only facts supplied or explicitly confirmed by the human. The live schema is canonical for fields and validation. The example illustrates the payload shape; its values are not defaults.
-
Warn that if the applicant email already belongs to a Ramp account, a successful request sends sign-in or continuation instructions instead of creating a fresh application.
-
Show a human-readable summary that includes the selected environment and obtain explicit confirmation.
-
After confirmation, start the signup flow in that same environment:
ramp applications create --env production \ --json '<confirmed payload>' --wait_for_auth --agent
A successful request sends the applicant an email while the CLI waits for the localhost OAuth callback. Keep the command running while the applicant accepts the invite. If the callback succeeds, the CLI saves scoped credentials for the selected environment. Tell the applicant exactly how to continue:
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.
- 8d ago First seen · 466 lines · 52 tokens per session scan A 7bd8296760e0
apply-to-ramp is a skill published in the GitHub repository ramp-public/cursor-plugin (1 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 4,447 once invoked, about $0.0003 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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