spend-analysis

spend-analysis is a skill for Claude Code, Codex from ramp-public/cursor-plugin. It costs 121 tokens per session (2,771 once invoked), scanned A, original, MIT.

A spending report tool that combines card transactions and bill payments, then groups the totals by vendor, category, team, or date range.

In plain words
What is it for?
Use it to review vendor or SaaS costs, check inference spending, and prepare spend summaries with tables.
Why use it?
It gives a fuller view of company spending when charges and bills are stored separately. It also helps identify refunds and vendor names that appear in different forms.

Skill for Claude CodeCodex

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

Good fit Use it to review vendor or SaaS costs, check inference spending, and prepare spend summaries with tables.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ramp-public/cursor-plugin/spend-analysis
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.

Any agent
npx skills add ramp-public/cursor-plugin --skill spend-analysis
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 spend-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/ramp-public/cursor-plugin/spend-analysis/github.svg)](https://agentmods.dev/skills/ramp-public/cursor-plugin/spend-analysis)
Your own site
<a href="https://agentmods.dev/skills/ramp-public/cursor-plugin/spend-analysis"><img src="https://agentmods.dev/badge/skills/ramp-public/cursor-plugin/spend-analysis/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.

agentmods 80×15 button for spend-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/ramp-public/cursor-plugin/spend-analysis"><img src="https://agentmods.dev/badge/skills/ramp-public/cursor-plugin/spend-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,771 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00121 $0.02771
Opus 5.5 $0.00048 $0.01108
Sonnet 5.5 $0.00024 $0.00554
Haiku 4.5 $0.00012 $0.00277

Measured 1mo ago against content hash 0a00cd4967f7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

spend-analysis 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 1mo 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/spend-analysis/SKILL.md · 273 lines

How it starts

The opening of the file, as written. The whole thing — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Non-Negotiables

  • Always query both transactions and bills for complete vendor spend. Card charges and bill payments are separate resources — there is no unified spend endpoint.
  • Pass --agent for machine-readable JSON output on all commands.
  • Handle amount format differences: transactions use strings ("$1,048.25", "-$259.49"), bills use numbers (15000), PO amounts use numbers. Reimbursement amounts are in dollars.
  • Paginate until next_page_cursor is null — a single page may not return everything.
  • Flag vendor name variants explicitly (e.g., "Delta Air Lines" vs "Delta Airlines") — the API does not normalize.
  • Negative transaction amounts are refunds. Include them in totals but call them out.

Workflow

Step 1: Pull card transactions

For each vendor (or all vendors if doing a broad analysis):

ramp transactions list \
  --transactions_to_retrieve all_transactions_across_entire_business \
  --reason_memo_merchant_or_user_name_text_search "<vendor>" \
  --from_date <YYYY-MM-DD> \
  --to_date <YYYY-MM-DD> \
  --include_count \
  --page_size 200 \
  --agent

If next_page_cursor is not null, paginate:

ramp transactions list \
  --transactions_to_retrieve all_transactions_across_entire_business \
  --reason_memo_merchant_or_user_name_text_search "<vendor>" \
  --from_date <YYYY-MM-DD> \
  --to_date <YYYY-MM-DD> \
  --page_size 200 \
  --next_page_cursor "<cursor>" \
  --agent

For broad analysis (all vendors): Omit --reason_memo_merchant_or_user_name_text_search to pull all transactions, then group client-side.

Step 2: Pull bill payments

For a specific vendor:

ramp bills search --query "<vendor>" --include_paid --limit 50 --agent

For broad analysis (all vendors):

ramp bills list --include_paid --limit 50 --agent

Repeat either with --page_cursor if next_page_cursor is not null.

Note: bills search has no date range filter and returns due_date but not payment_date. For date-bounded actual spend, drill into paid bills with ramp bills get <id> --agent to get payment_date, then filter by that. If drilling into every bill is impractical, filter by due_date but label the result as "bills due in period" rather than "spend in period." Bills with payment_status: "OPEN" are unpaid — report them separately as commitments.

Read the full file on GitHub · 273 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. 1mo ago First seen · 273 lines · 121 tokens per session scan A 0a00cd4967f7

Subscribe to this mod's changes

spend-analysis is a skill published in the GitHub repository ramp-public/cursor-plugin (2 stars, last pushed 2mo ago), licensed MIT. It adds 121 tokens to every session and 2,771 once invoked, about $0.0005 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 2026-08-31.

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