close-day-checklist

close-day-checklist is a skill for Claude Code from DaizeDong/buy-me-a-car. It costs 114 tokens per session (2,391 once invoked), scanned A, original, MIT.

A day-of checklist for a car buyer who is ready to sign a purchase agreement. It covers cash, financing, trade-ins, electric vehicles, pickups, dealer add-ons, lien payoff, and vehicle pickup.

In plain words
What is it for?
Use it before or during closing to prepare payment, handle a trade-in or loan payoff, refuse unwanted finance-office add-ons, complete electric-vehicle paperwork, and check the vehicle at pickup.
Why use it?
It helps prevent last-minute paperwork mistakes and unexpected charges at the dealership. It is intended for a deal whose out-the-door price is already agreed in writing.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the buy-me-a-car plugin — 16 skills shipped together

Good fit Use it before or during closing to prepare payment, handle a trade-in or loan payoff, refuse unwanted finance-office add-ons, complete electric-vehicle paperwork, and check the vehicle at pickup.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/daizedong/buy-me-a-car/close-day-checklist
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 DaizeDong/buy-me-a-car --skill close-day-checklist
Clone the repo
git clone --depth 1 https://github.com/DaizeDong/buy-me-a-car

Made for: Claude Code.

Or install buy-me-a-car, the plugin that ships this one along with the rest of its 16 skills.

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 close-day-checklist

README.md
[![agentmods](https://agentmods.dev/badge/skills/daizedong/buy-me-a-car/close-day-checklist/github.svg)](https://agentmods.dev/skills/daizedong/buy-me-a-car/close-day-checklist)
Your own site
<a href="https://agentmods.dev/skills/daizedong/buy-me-a-car/close-day-checklist"><img src="https://agentmods.dev/badge/skills/daizedong/buy-me-a-car/close-day-checklist/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 close-day-checklist

Your own site · 80×15
<a href="https://agentmods.dev/skills/daizedong/buy-me-a-car/close-day-checklist"><img src="https://agentmods.dev/badge/skills/daizedong/buy-me-a-car/close-day-checklist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,391 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00114 $0.02391
Opus 5.5 $0.00046 $0.00956
Sonnet 5.5 $0.00023 $0.00478
Haiku 4.5 $0.00011 $0.00239

Measured 15d ago against content hash eae3e4ecb730, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

close-day-checklist 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 15d 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.

skills/close-day-checklist/SKILL.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Close Day Checklist

Prepare the buyer for an inspection, final contract review and collection using current written evidence. Verify applicable fees, warranty, incentives and seller terms against their sources. A completed checklist is preparation for the buyer's decision, not proof that a vehicle is suitable or a purchase succeeded.

Reuse known criteria and the current buyer research package. For a visit before terms are locked, fill the private negotiation and visit preparation with unknowns and questions; a test drive does not require two competing quotes. Use dealer-reply-drafter for a revised written offer. Save real notes under private DATA. Sending, booking, paying or signing requires authorization for that action and an execution receipt.

When To Use

  • Buyer is signing today or tomorrow and needs a sub-checklist by buyer type
  • Buyer wants the F&I add-on refusal script to read verbatim at the F&I desk
  • Buyer has a trade with active lien and needs the payoff workflow
  • Buyer is an EV buyer and needs day-of EV mechanics (state rebate paperwork, battery/SoH, charging, NOTE: federal §30D POS credit transfer is TERMINATED 2025-09-30, historical only)
  • Buyer is buying a pickup and needs the truck-specific PPI quick checklist

When NOT To Use

  • For broad vehicle research, use buy-me-a-car.
  • Before signing, resolve missing written terms, history/title evidence and material inspection findings. Use CARFAX review and inspection planning when relevant.
  • Changed terms at the F&I desk require a fresh comparison and buyer decision; do not treat an earlier agreement as authorization to accept the changes.

Evidence and communication

  • Read the actual history/title and service records for a used vehicle; for a new vehicle, review the window sticker and delivery inspection record. Record missing pages and unresolved claims using the PDF checklist.
  • Buyer-facing notes use the buyer's language. The constrained dealer-email renderer supports ASCII English; follow its reviewed draft contract and the email SOP for external messages.
  • Keep private ceilings and negotiation notes out of dealer-facing documents.

Read the full file on GitHub · 178 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. 15d ago Changed eae3e4ecb730
  2. 1mo ago Changed · -133 lines 1c055f8ea946
  3. 1mo ago First seen · 311 lines · 114 tokens per session scan A be99565d455f

Subscribe to this mod's changes

close-day-checklist is a skill published in the GitHub repository DaizeDong/buy-me-a-car (11 stars, last pushed 11d ago), licensed MIT. It adds 114 tokens to every session and 2,391 once invoked, about $0.0005 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.

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