Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/DaizeDong/buy-me-a-carnpx agentmods add skills/daizedong/buy-me-a-car/trade-in-valuatorWrote 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/daizedong/buy-me-a-car/trade-in-valuator)<a href="https://agentmods.dev/skills/daizedong/buy-me-a-car/trade-in-valuator"><img src="https://agentmods.dev/badge/skills/daizedong/buy-me-a-car/trade-in-valuator/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/daizedong/buy-me-a-car/trade-in-valuator"><img src="https://agentmods.dev/badge/skills/daizedong/buy-me-a-car/trade-in-valuator.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 | $0.00121 | $0.03278 |
| Opus 5.5 | $0.00048 | $0.01311 |
| Sonnet 5.5 | $0.00024 | $0.00656 |
| Haiku 4.5 | $0.00012 | $0.00328 |
Grade A, and why
trade-in-valuator 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.
How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trade-in Valuator
Caveat: this skill is one author's playbook + 5-scenario stress test. Verify state fees / CPO terms / EV credits / dealer practices against current sources before quoting numbers to a dealer or making financial decisions. Not tax, legal, or financial advice.
Tax references reconciled September 22, 2026; valuation ranges require current market evidence.
Narrow-trigger skill: produce a defensible trade-in valuation, decide
separate-sell vs trade-in, and stage lien-payoff timing. Defers full reference
content to ../orchestrator/references/trade_in.md and state-specific tax
mechanics to ../orchestrator/references/state_fees.md.
When to invoke
User says any of: "valuate my trade", "what's my Civic worth", "KBB vs private party", "trade-in tax credit", "lien payoff", or the CN triggers in the frontmatter. Skip this skill if there is no trade (Phase 1 trade gate = NO).
5-anchor valuation framework
Per ../orchestrator/references/trade_in.md Section 1: every trade vehicle has
four book/market valuations -- and for EVs and PHEVs, a fifth anchor: battery
State of Health (SoH). Capture every applicable anchor at Phase 1 --
misreading them is the #1 source of buyer loss in trade-in deals.
| # | Anchor | What it is | Typical relationship | Role |
|---|---|---|---|---|
| 1 | KBB Instant Cash Offer | Real cash a participating dealer will pay TODAY, no negotiation | Lowest of the four (dealer floor) | Walk-floor outside option. Any dealer trade offer below this is asking buyer to subsidize. |
| 2 | KBB Trade-In Value (Fair condition mid) | KBB book trade-in value at stated condition | $600-$1,300 above KBB Instant Offer | Mid; fair dealer trade target. Use as primary anchor. |
| 3 | KBB Private Party Value | What buyer can realistically sell for on Craigslist / FB Marketplace | $1,500-$3,000 above KBB Trade-In; transacts 7-14 days for clean 1-owner | Upper bound; the price the buyer trades convenience for. |
| 4 | Wholesale (Manheim MMR / Black Book) | Dealer auction acquisition floor | Lowest; dealer-internal | Internal benchmark only; buyers rarely see MMR. Estimate ~5-10% below KBB Instant Offer for popular models. |
| 5 | Battery State of Health (SoH) -- EV/PHEV only | Verified pack capacity retention (%) from OBD-II / dealer scan / mfr app -- NOT the dashboard range estimate | Cross-cutting modifier on anchors 1-4, not a standalone $ figure | The dominant EV factor: for a used EV the pack is the most expensive component, so SoH moves resale more than paint/trim/often mileage. Books usually ignore it -- so treat books as a soft ceiling and adjust for SoH. |
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.
- 1mo ago Changed · -25 lines 908147d4e4e3
- 1mo ago First seen · 223 lines · 121 tokens per session scan A 0bdeb758db15
trade-in-valuator is a skill published in the GitHub repository DaizeDong/buy-me-a-car (11 stars, last pushed 11d ago), licensed MIT. It adds 121 tokens to every session and 3,278 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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