refunds

refunds is a skill for Claude Code, Codex from paiml/rust-mcp-sdk. It costs 10 tokens per session (64 once invoked), scanned A, original, MIT.

A workflow for handling customer refund requests according to company rules.

In plain words
What is it for?
Use it to verify refund requests and process approved refunds through a billing tool.
Why use it?
It provides checks for the order, the 30-day deadline, and the refund reason before issuing payment back to the customer.

Skill for Claude CodeCodex

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/paiml/rust-mcp-sdk/refunds
Any agent
npx skills add paiml/rust-mcp-sdk --skill refunds
Clone the repo
git clone --depth 1 https://github.com/paiml/rust-mcp-sdk

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 refunds

README.md
[![agentmods](https://agentmods.dev/badge/skills/paiml/rust-mcp-sdk/refunds.svg)](https://agentmods.dev/skills/paiml/rust-mcp-sdk/refunds)
Your own site
<a href="https://agentmods.dev/skills/paiml/rust-mcp-sdk/refunds"><img src="https://agentmods.dev/badge/skills/paiml/rust-mcp-sdk/refunds.svg" alt="Measured on agentmods" height="20"></a>
Per session 10 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 64 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 $0.00010 $0.00064
Opus 5 $0.00005 $0.00032
Sonnet 5 $0.00002 $0.00013
Haiku 4.5 $0.00001 $0.00006

Measured 5d ago against content hash 09f002528e3d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

refunds 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.

examples/skills/refunds/SKILL.md · 12 lines

What it actually says

Refund Workflow

  1. Verify the order ID exists.
  2. Check that the request is within the 30-day window.
  3. Validate the reason against the allowed-reasons list.
  4. Issue the refund via the billing tool.
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 · 12 lines · 10 tokens per session scan A 09f002528e3d

Subscribe to this mod's changes

refunds is a skill published in the GitHub repository paiml/rust-mcp-sdk (53 stars, last pushed 4d ago), licensed MIT. It adds 10 tokens to every session and 64 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 2026-08-30.

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