Agent skill

Snaplii Autopilot

by Snaplii-Inc in Snaplii-Inc/agent-to-merchant-payments

End-to-end Agent-to-Merchant autopilot: buy a Snaplii gift card with cashback, then drive the browser to redeem it on the merchant/delivery site and place the order — all in one flow.

No licenceAuto-check passedProductivity & Automation

Install Snaplii Autopilot

skills CLI
$ npx skills add Snaplii-Inc/agent-to-merchant-payments --skill snaplii-autopilot -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Snaplii-Inc/agent-to-merchant-payments snaplii-autopilot --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Snaplii-Inc/agent-to-merchant-payments.git skills-src && mkdir -p .claude/skills && cp -r skills-src/clawhub-autopilot .claude/skills/snaplii-autopilot && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
snaplii-autopilot
GitHub stars
813
Token cost
~4.4k tokens
SKILL.md length
2,442 words
Files
1
Skills in repo
2
Repo updated
First seen
Licence
None found

At a glance

End-to-end Agent-to-Merchant autopilot: buy a Snaplii gift card with cashback, then drive the browser to redeem it on the merchant/delivery site and place the order — all in one flow.

  • Works in 4 steps: Authenticate & pick the card → Confirm & buy → Drive the browser to redeem + order → …
  • The user wants the agent to actually complete a purchase
  • SKILL.md covers Auth, Requirements (check first), Frictionless setup — never… and Safety — read before acting, plus 3 more sections
  • Reaches aipayment.snaplii.com

What it does

Snaplii Autopilot is an agent skill from Snaplii-Inc/agent-to-merchant-payments. End-to-end Agent-to-Merchant autopilot: buy a Snaplii gift card with cashback, then drive the browser to redeem it on the merchant/delivery site and place the order — all in one flow. Use when the user wants the agent to actually complete a purchase or food/delivery order (e.g. 'order me a coffee on Uber Eats and pay with Snaplii'), not just get a gift card. Requires a browser-automation tool in the session.

Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Browser automation and End-to-end testing. The repository describes itself as: Payments are broken for AI agents. Snaplii provides a secure, tokenized payment layer that enables AI agents to transact in the real world — without exposing users' underlying…

When your agent uses it

  • The user wants the agent to actually complete a purchase
  • Food/delivery order (e.g

Example prompts

  • “order me a coffee on Uber Eats and pay with Snaplii”
  • “/snaplii-autopilot”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Authenticate & pick the card
  2. Confirm & buy
  3. Drive the browser to redeem + order
  4. After ordering

What it can do on your machine

Read from SKILL.md and the folder at commit c141ca3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json and bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • aipayment.snaplii.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Snaplii Autopilot loads about 4.4k tokens when it runs. Until then it costs about 107 tokens; SKILL.md has 2,442 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~107
When it runs · the whole SKILL.md, loaded when a task matches
~4.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 2,442 words (~4,375 tokens).

“This skill completes the full Agent-to-Merchant flow: buy a Snaplii gift card (prepaid, capped, cashback) → get its redemption code → open the merchant/delivery site in the browser → add the gift card → place the order. It builds on…”

— opening of SKILL.md by Snaplii-Inc
name
snaplii-autopilot

Read the full SKILL.md on GitHub

Files

Just SKILL.md in clawhub-autopilot of Snaplii-Inc/agent-to-merchant-payments.

Open the folder on GitHubat commit c141ca3

Compare with similar skills

Snaplii Autopilot next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Snaplii Autopilot compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Snaplii Autopilot this skillSnaplii-Inc/agent-to-merchant-payments813—~4.4kAutomated safety check: PassNone
VerifyWeZZard/jlens-qwen36402—~684Automated safety check: PassApache-2.0
Browser Automationmozilla/firefox-devtools-mcp478—~807Automated safety check: PassCustom licence
Patchright Skillaiskillstore/marketplace433—~1.6kAutomated safety check: PassMIT
Electron App Automationvercel-labs/agent-browser44k5 repos~1.7kAutomated safety check: PassApache-2.0
Actionbook Browser Action Manualssmallnest/goclaw5991 repos~4.1kAutomated safety check: WarnMIT

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More from Snaplii-Inc/agent-to-merchant-payments

  • Snaplii CLI

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Questions about Snaplii Autopilot

What does Snaplii Autopilot do?

End-to-end Agent-to-Merchant autopilot: buy a Snaplii gift card with cashback, then drive the browser to redeem it on the merchant/delivery site and place the order — all in one flow. Snaplii Autopilot is an agent skill from Snaplii-Inc/agent-to-merchant-payments. End-to-end Agent-to-Merchant autopilot: buy a Snaplii gift card with cashback, then drive the browser to redeem it on the merchant/delivery site and place the order — all in one flow.

When should I use Snaplii Autopilot?

Snaplii Autopilot fits situations like: the user wants the agent to actually complete a purchase; food/delivery order (e.g.

How do I install Snaplii Autopilot in Claude Code?

Run `npx skills add Snaplii-Inc/agent-to-merchant-payments --skill snaplii-autopilot -a claude-code`. Or copy the skill folder (clawhub-autopilot in Snaplii-Inc/agent-to-merchant-payments) into .claude/skills/snaplii-autopilot in your project. Claude Code loads it when a task matches its description.

How do I install Snaplii Autopilot in Codex?

Run `npx skills add Snaplii-Inc/agent-to-merchant-payments --skill snaplii-autopilot -a codex`. Or copy the skill folder (clawhub-autopilot in Snaplii-Inc/agent-to-merchant-payments) into .agents/skills/snaplii-autopilot in your project. Codex loads it when a task matches its description.

Can I use Snaplii Autopilot in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Snaplii-Inc/agent-to-merchant-payments --skill snaplii-autopilot -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/snaplii-autopilot, .gemini/skills/snaplii-autopilot, .github/skills/snaplii-autopilot and .opencode/skills/snaplii-autopilot in your project.

What does Snaplii Autopilot need to run?

SKILL.md names no scripts, command-line tools or credentials: Snaplii Autopilot is instructions for the agent only. Our summary lists: Python 3.

Does Snaplii Autopilot access the network?

SKILL.md names 1 domain. In commands or code: aipayment.snaplii.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Snaplii Autopilot safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Snaplii Autopilot use?

No licence was found for Snaplii Autopilot or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Snaplii Autopilot use?

About 4.4k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Snaplii Autopilot?

Skills that share tags, products or a category with Snaplii Autopilot: Verify (WeZZard/jlens-qwen36, 402 stars), Browser Automation (mozilla/firefox-devtools-mcp, 478 stars), Patchright Skill (aiskillstore/marketplace, 433 stars) and Electron App Automation (vercel-labs/agent-browser, 44k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Snaplii Autopilot?

Snaplii-Inc (a GitHub organization) maintains it in Snaplii-Inc/agent-to-merchant-payments, which has 813 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 10, 2026.

Source: Snaplii-Inc/agent-to-merchant-payments on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.