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 DaizeDong/buy-me-a-car --skill quote-evidence-collectorgit clone --depth 1 https://github.com/DaizeDong/buy-me-a-carWrote 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/quote-evidence-collector)<a href="https://agentmods.dev/skills/daizedong/buy-me-a-car/quote-evidence-collector"><img src="https://agentmods.dev/badge/skills/daizedong/buy-me-a-car/quote-evidence-collector/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/quote-evidence-collector"><img src="https://agentmods.dev/badge/skills/daizedong/buy-me-a-car/quote-evidence-collector.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 | $0.00135 | $0.02476 |
| Opus 5 | $0.00068 | $0.01238 |
| Sonnet 5 | $0.00027 | $0.00495 |
| Haiku 4.5 | $0.00014 | $0.00248 |
Grade A, and why
quote-evidence-collector scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
### Step 3 -- Python urllib download with Referer header bypass How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quote Evidence Collector
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.
last_verified: 2026-05-18
Narrow-trigger skill: surface REAL dealer quote screenshots from public sources
(XHS / Reddit / Facebook / aggregators) for use as cross-bid negotiation anchors.
Defers heavy method content to ../orchestrator/references/deal_data_sources.md
and hands off finished image sets to ../dealer-reply-drafter/SKILL.md.
When to invoke
User says any of: "find quote screenshots", "find dealer evidence", "scrape XHS for quotes", "Reddit OTD reports", "find what other people paid", or the CN triggers in the frontmatter. Skip this skill if the buyer is still at Phase 1 (criteria not locked) -- the broader orchestrator should run instead.
State-aware search decision tree
Per orchestrator gotcha S5: the buyer's state dictates which source has the densest same-model quote evidence. Run the FIRST matching branch; do not blast every source.
| Buyer state | Primary source | Secondary | Why |
|---|---|---|---|
| NJ / NY / CA | XHS (search_result + state keyword) | Reddit r/{Make}{Model} | Chinese-American buyer community concentrated in tri-state + CA; they routinely post dealer worksheets. |
| TX / FL / IL / GA / WA | Reddit r/{Make}{Model} + r/{State}Cars | XHS (generic only) | English-language buyer forums dominate; XHS has thin regional coverage. |
| Boomer-heavy makes (Ford F-150, RAM 1500, classic Mustang) | Facebook owner groups | Owner FB groups are where pickup buyers post window stickers. | |
| Spanish-dominant buyer (US Hispanic/Latino) | ES-community: US-Latino FB buy/sell groups (VA / Houston / LA / CA, verified IDs in deal_data_sources.md §ES) + Reddit ES (comprar carro queries) |
Reddit r/{Make}{Model} (English) + aggregators | ES tier is a THIN supplement only: FB groups are FSBO marketplaces (regional private-party floor, not dealer worksheets) and large ES subs (r/mexico, r/espanol) carry MX-domestic prices that DON'T map to US OTD. Always cross-check against the English + aggregator tiers; never let an ES datapoint stand alone. Re-verify each FB group's latest-post date in Playwright before citing (FB hides member counts). |
| Other states | Reddit r/{Make}{Model} + r/{State}Cars | Aggregator screenshots (CarGurus, Edmunds) | Default fallback. |
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.
- 12d ago First seen · 201 lines · 135 tokens per session scan A ca58d660758f
quote-evidence-collector is a skill published in the GitHub repository DaizeDong/buy-me-a-car (5 stars, last pushed 8d ago), licensed MIT. It adds 135 tokens to every session and 2,476 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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