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.
npx skills add UnboundCompute/security-agent-skills --skill auditing-payment-callback-and-amount-integritygit clone --depth 1 https://github.com/UnboundCompute/security-agent-skillsWrote 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.
[](https://agentmods.dev/skills/unboundcompute/security-agent-skills/auditing-payment-callback-and-amount-integrity)<a href="https://agentmods.dev/skills/unboundcompute/security-agent-skills/auditing-payment-callback-and-amount-integrity"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/auditing-payment-callback-and-amount-integrity/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.
<a href="https://agentmods.dev/skills/unboundcompute/security-agent-skills/auditing-payment-callback-and-amount-integrity"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/auditing-payment-callback-and-amount-integrity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00184 | $0.02168 |
| Opus 5 | $0.00092 | $0.01084 |
| Sonnet 5 | $0.00037 | $0.00434 |
| Haiku 4.5 | $0.00018 | $0.00217 |
Grade A, and why
auditing-payment-callback-and-amount-integrity 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auditing payment callback and amount integrity: the success message is attacker-reachable until you verify it
When a payment finishes, the application finds out from the processor through a redirect back to the site, a server-to-server webhook, or a status poll, and it acts on that message by marking the order paid and shipping the goods. If the message is trusted without verification, the attacker controls the one signal that releases value. The failures are concrete. A callback whose signature is not verified lets an attacker post a spoofed success with no real payment. An amount or currency read from the callback or the client, rather than reconciled against the order the server itself created, lets an attacker pay one cent for a thousand-dollar order or switch to a cheaper currency. A success notification not bound to a specific order can be captured from a real small purchase and replayed onto a larger order. And a status trusted without an out-of-band confirmation to the provider takes the attacker's word for settlement. The audit treats the payment result as untrusted input until the server verifies its authenticity, its amount, and its binding to the order. You audit this by forging and altering the callback and confirming each is refused.
When to use
- The application learns a payment succeeded from a processor callback, webhook, or status poll.
- The amount, currency, or status may be read from the callback or client instead of reconciled server-side.
- A success notification may lack a verified signature or a binding to the specific order it settles.
Scope check
Test payment callbacks only against systems you own or are authorized to assess, on non-production or sandbox payment paths. Forging and replaying callbacks drives real fulfillment on a live system, so use sandbox processor credentials and test orders and never mark a real order paid or trigger a real shipment. If you can't name the authorization, stop.
The loop
- Establish the trusted settlement signal first. Name exactly what the server must verify before it treats a payment as settled: the callback's signature against the processor's key, the amount and currency against the order the server created, and the notification's binding to that specific order, ideally confirmed out of band with the provider. This is the false-positive killer: a flow that verifies the signature, reconciles the amount and currency server-side, binds the notification to the order, and confirms settlement with the provider is correct. Name the trusted signal, then test forgery.
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.
- 10d ago First seen · 144 lines · 184 tokens per session scan A a7f582539455
auditing-payment-callback-and-amount-integrity is a skill published in the GitHub repository UnboundCompute/security-agent-skills (5 stars, last pushed 2d ago), licensed MIT. It adds 184 tokens to every session and 2,168 once invoked, about $0.0009 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.
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