omg-refund

omg-refund is a command for coding agents from chenmitchell/omg-payment-skill. It costs 0 tokens per session (408 once invoked), scanned A, original, no licence file.

A shortcut command for payment refunds that follows a refund-safety guide before carrying out the operation.

In plain words
What is it for?
Use it to start a refund operation under the instructions and warnings in the project’s refund-safety guide.
Why use it?
It adds a defined safety check to refund-related work instead of treating every refund as an unstructured request.

Command

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 commands/chenmitchell/omg-payment-skill/omg-refund
Clone the repo
git clone --depth 1 https://github.com/chenmitchell/omg-payment-skill

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 omg-refund

README.md
[![agentmods](https://agentmods.dev/badge/commands/chenmitchell/omg-payment-skill/omg-refund.svg)](https://agentmods.dev/commands/chenmitchell/omg-payment-skill/omg-refund)
Your own site
<a href="https://agentmods.dev/commands/chenmitchell/omg-payment-skill/omg-refund"><img src="https://agentmods.dev/badge/commands/chenmitchell/omg-payment-skill/omg-refund.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 408 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00000 $0.00408
Opus 5 $0.00000 $0.00204
Sonnet 5 $0.00000 $0.00082
Haiku 4.5 $0.00000 $0.00041

Measured 4d ago against content hash d077d778c503, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

omg-refund 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 4d 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.

commands/omg-refund.md · 39 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 4d ago First seen · 39 lines · 0 tokens per session scan A d077d778c503

Subscribe to this mod's changes

omg-refund is a command published in the GitHub repository chenmitchell/omg-payment-skill (7 stars, last pushed 2mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 408 tokens. 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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