pop-pay

pop-pay is a skill for Claude Code, Codex from 100xPercent/pop-pay-python. It costs 35 tokens per session (1,739 once invoked), scanned A, original, MIT.

A local payment skill that lets an OpenClaw agent pay at online stores with your existing credit card. The card details stay in your computer’s keychain and are entered into the browser without being shown to the agent.

In plain words
What is it for?
It helps automate online purchases while keeping payment credentials on your machine. It also supports local spending policies and optional webhook notifications.
Why use it?
It avoids creating another payment account or sending card details through a SaaS service. Keeping credentials outside the agent’s context reduces the risk of prompt-injection attacks exposing them.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit It helps automate online purchases while keeping payment credentials on your machine. It also supports local spending policies and optional webhook notifications.

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Install with agentmods
npx agentmods add skills/100xpercent/pop-pay-python/pop-pay-skill
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 100xPercent/pop-pay-python --skill pop-pay-skill
Clone the repo
git clone --depth 1 https://github.com/100xPercent/pop-pay-python

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 pop-pay

README.md
[![agentmods](https://agentmods.dev/badge/skills/100xpercent/pop-pay-python/pop-pay-skill/github.svg)](https://agentmods.dev/skills/100xpercent/pop-pay-python/pop-pay-skill)
Your own site
<a href="https://agentmods.dev/skills/100xpercent/pop-pay-python/pop-pay-skill"><img src="https://agentmods.dev/badge/skills/100xpercent/pop-pay-python/pop-pay-skill/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 pop-pay

Your own site · 80×15
<a href="https://agentmods.dev/skills/100xpercent/pop-pay-python/pop-pay-skill"><img src="https://agentmods.dev/badge/skills/100xpercent/pop-pay-python/pop-pay-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,739 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 $0.00035 $0.01739
Opus 5.5 $0.00014 $0.00696
Sonnet 5.5 $0.00007 $0.00348
Haiku 4.5 $0.00003 $0.00174

Measured 1mo ago against content hash 21835b502961, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pop-pay 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.

pop-pay-skill/SKILL.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

What This Skill Does

Gives your OpenClaw agent the ability to pay at any online store using your own existing credit card — no account to create, no SaaS subscription, no external service to trust.

Your card number is stored in your local system keychain and is never placed in the agent's context window. When payment is approved, credentials are injected directly into the browser's payment form via CDP (Chrome DevTools Protocol — an open protocol maintained by Google) in a separate process — the agent never sees them. If your agent is compromised by a prompt injection attack, the attacker cannot steal your card.


Privacy & Data Flow

All payment logic runs on your machine. There are no Point One Percent servers involved in the payment path.

Component Default Data stays
Card credentials Local system keychain Your machine only
Spend policy ~/.config/pop-pay/.env Your machine only
Guardrail engine keyword mode (zero API calls) Your machine only
Guardrail engine (optional) llm mode — uses your own API key Your API provider
Webhook notifications Disabled by default — only active if POP_WEBHOOK_URL is set Your chosen endpoint

Keyword guardrail (default): evaluates transactions locally with no external calls. LLM guardrail (opt-in): uses your own POP_LLM_API_KEY — no data is sent to Point One Percent.


Setup (One Time)

# Install from PyPI (https://pypi.org/project/pop-pay/)
pip install pop-pay
pop-pay setup          # securely stores your card in the system keychain
pop-pay setup --profile   # stores billing info (name, address, email)

Then add to your OpenClaw config:

{
  "mcpServers": {
    "pop-pay": {
      "command": "pop-pay",
      "args": ["serve"]
    }
  }
}

Set your spend policy in ~/.config/pop-pay/.env:

POP_ALLOWED_CATEGORIES='["amazon","shopify","aws"]'
POP_MAX_AMOUNT_PER_TX=100
POP_MAX_DAILY_BUDGET=300
POP_AUTO_INJECT=true          # set to false to review injections manually
POP_REQUIRE_HUMAN_APPROVAL=false  # set to true for manual confirmation on every payment

Read the full file on GitHub · 204 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 204 lines · 35 tokens per session scan A 21835b502961

Subscribe to this mod's changes

pop-pay is a skill published in the GitHub repository 100xPercent/pop-pay-python (1 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 1,739 once invoked, about $0.0001 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.