expense-review-policy

expense-review-policy is a skill for Claude Code, Codex from openai/openai-cookbook. It costs 17 tokens per session (386 once invoked), scanned A, original, MIT.

A policy for reviewing invoices, expense receipts, and service contracts before a person approves payment. It checks calculations, supporting documents, payment changes, and contract terms.

In plain words
What is it for?
Use it to verify invoice totals, purchase orders, receipts, bank-detail changes, renewals, price increases, liability, confidentiality, security, and termination terms.
Why use it?
It catches arithmetic errors, missing approvals or receipts, possible payment fraud, and risky contract provisions before approval.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit Use it to verify invoice totals, purchase orders, receipts, bank-detail changes, renewals, price increases, liability, confidentiality, security, and termination terms.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openai/openai-cookbook/expense-review-policy
About the project

openai-cookbook is a collection of example code and practical guides for completing common tasks with the OpenAI API. It is for developers building applications that call OpenAI models, with most examples written in Python. The catalogue add-ons provide reusable workflows for working with the cookbook and OpenAI API examples.

openai/openai-cookbook · 75,897 stars · on GitHub · cookbook.openai.com

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 openai/openai-cookbook --skill expense-review-policy
Clone the repo
git clone --depth 1 https://github.com/openai/openai-cookbook

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 expense-review-policy

README.md
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Your own site
<a href="https://agentmods.dev/skills/openai/openai-cookbook/expense-review-policy"><img src="https://agentmods.dev/badge/skills/openai/openai-cookbook/expense-review-policy/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.

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<a href="https://agentmods.dev/skills/openai/openai-cookbook/expense-review-policy"><img src="https://agentmods.dev/badge/skills/openai/openai-cookbook/expense-review-policy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 386 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 $0.00017 $0.00386
Opus 5 $0.00009 $0.00193
Sonnet 5 $0.00003 $0.00077
Haiku 4.5 $0.00002 $0.00039

Measured yesterday against content hash 33f3b498db9f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

expense-review-policy 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 yesterday.

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.

examples/agents_api/apps/document_review/skills/expense-review-policy/SKILL.md · 52 lines

What it actually says

Expense review policy

Policy ID: AP-104.

Apply this policy to invoices, expense receipts, and service contracts.

Invoices and expenses

  • Read the entire invoice, including the vendor and every line item.
  • Use Python to multiply quantities by unit prices and add every line total plus shipping.
  • Strip currency separators, compare the result with Total amount due, and report the exact difference.
  • Require a purchase order or another documented approval.
  • Flag missing receipts, unsupported charges, and changed payment instructions.
  • Escalate incorrect totals and unverified changes to bank details.

Contracts

  • Read every clause and report all matching risks, even when one already requires escalation.
  • Flag automatic renewals and restrictive cancellation windows.
  • Flag unilateral price increases and missing liability limits.
  • Escalate customer-data sharing or subcontractor access without approval.
  • Identify missing confidentiality, security, or termination terms.

Review decision

  • needs_info: Required documentation or supporting information is missing.
  • escalated: Fraud indicators, financial discrepancies, or risky terms need review.
  • ready_for_approval: No policy violations remain, but a human must still approve.

Write /workspace/output/<document-stem>.json with the following fields:

{
  "document": "invoice.txt",
  "policy_id": "AP-104",
  "decision": "escalated",
  "vendor": "Cedar Office Supply",
  "amount": 6420,
  "issues": ["The claimed total exceeds the calculated total."],
  "recommendation": "Escalate for human review."
}

Every issues entry must be a plain-English string, not a nested object.

Never approve payments, sign contracts, or take external actions.

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. yesterday First seen · 52 lines · 17 tokens per session scan A 33f3b498db9f

Subscribe to this mod's changes

expense-review-policy is a skill published in the GitHub repository openai/openai-cookbook (75,897 stars, last pushed yesterday), licensed MIT. It adds 17 tokens to every session and 386 once invoked, about $0.0001 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 2026-09-11.

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