approval-dashboard

approval-dashboard is a skill for Claude Code, Codex from ramp-public/cursor-plugin. It costs 68 tokens per session (2,298 once invoked), scanned A, original, MIT.

A set of instructions for reviewing and acting on pending Ramp approvals. Ramp is a service companies use to manage spending, bills, reimbursements, and requests.

In plain words
What is it for?
Use it to review transactions, bills, reimbursements, and purchase or fund requests, including bulk approval workflows.
Why use it?
It prevents missed items and unsafe decisions by fetching complete queues, showing details, handling different money formats, and requiring confirmation before approval or rejection.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

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.

agentmods
npx agentmods add skills/ramp-public/cursor-plugin/approval-dashboard
Any agent
npx skills add ramp-public/cursor-plugin --skill approval-dashboard
Clone the repo
git clone --depth 1 https://github.com/ramp-public/cursor-plugin

Made for: Claude Code, Codex.

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 approval-dashboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/ramp-public/cursor-plugin/approval-dashboard.svg)](https://agentmods.dev/skills/ramp-public/cursor-plugin/approval-dashboard)
Your own site
<a href="https://agentmods.dev/skills/ramp-public/cursor-plugin/approval-dashboard"><img src="https://agentmods.dev/badge/skills/ramp-public/cursor-plugin/approval-dashboard.svg" alt="Measured on agentmods" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,298 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00068 $0.02298
Opus 5 $0.00034 $0.01149
Sonnet 5 $0.00014 $0.00460
Haiku 4.5 $0.00007 $0.00230

Measured 5d ago against content hash 4722d0f803c5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

approval-dashboard 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 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.

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.

skills/approval-dashboard/SKILL.md · 223 lines

How it starts

The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Non-Negotiables

  • Always show the item details before approving or rejecting. Never blind-approve.
  • Rejections require a reason. Approvals do not, but a note is helpful.
  • Confirm with the user before executing approvals — especially bulk operations.
  • Present items sorted by priority: highest dollar amount first.
  • Amounts vary by endpoint: bills are in cents (divide by 100), reimbursements are in dollars, transactions are formatted strings ("$135.40").
  • Deep links: If the response contains a bill_url (bills) or reimbursement_link (reimbursements) field, include it when presenting entity details so the user can click through to the Ramp web app. If these fields are absent, direct the user to the relevant Ramp page (e.g., https://app.ramp.com/bills) instead. Never fabricate deep link URLs.

Workflow

Step 1: Fetch all pending items

Run these in parallel to build the full approval queue. Paginate each endpoint until there are no more results — a single page may not return everything.

# Pending transactions (paginate with --next_page_cursor)
ramp transactions list --transactions_to_retrieve transactions_awaiting_my_approval \
  --agent --page_size 50

# Pending bills (paginate with --page_cursor)
ramp bills pending --agent --limit 50

# Pending reimbursements (no cursor pagination — use --limit)
ramp reimbursements pending --agent --limit 50

# Pending requests (paginate with --start; --thoughts is required)
ramp requests pending --thoughts "Reviewing all pending requests" --page_size 50 --agent

For each endpoint, check pagination.next_cursor in the JSON envelope. If it is not null, re-run the command with that cursor value (via --next_page_cursor for transactions, --page_cursor for bills, --start for requests) until all pages are fetched. Note: reimbursements pending does not support cursor-based pagination — it only has --limit, so increase the limit if you need more results. Aggregate results before presenting.

Read the full file on GitHub · 223 lines

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. 5d ago First seen · 223 lines · 68 tokens per session scan A 4722d0f803c5

Subscribe to this mod's changes

approval-dashboard is a skill published in the GitHub repository ramp-public/cursor-plugin (1 stars, last pushed 1mo ago), licensed MIT. It adds 68 tokens to every session and 2,298 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.