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 millisa09/freight-quote-claude-skills --skill rfq-email-scannergit clone --depth 1 https://github.com/millisa09/freight-quote-claude-skillsWrote 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/millisa09/freight-quote-claude-skills/rfq-email-scanner)<a href="https://agentmods.dev/skills/millisa09/freight-quote-claude-skills/rfq-email-scanner"><img src="https://agentmods.dev/badge/skills/millisa09/freight-quote-claude-skills/rfq-email-scanner/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/millisa09/freight-quote-claude-skills/rfq-email-scanner"><img src="https://agentmods.dev/badge/skills/millisa09/freight-quote-claude-skills/rfq-email-scanner.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 | $0.00129 | $0.01235 |
| Opus 5 | $0.00064 | $0.00617 |
| Sonnet 5 | $0.00026 | $0.00247 |
| Haiku 4.5 | $0.00013 | $0.00123 |
Grade A, and why
rfq-email-scanner 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 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.
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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RFQ Email Scanner
Connects to Gmail, finds rate request emails, extracts load details, and drafts quote replies — all presented for broker review before any action is taken.
Requires: Gmail MCP connected in your Claude/Cowork environment. See INSTALL.md for Gmail MCP setup instructions.
Step 1 — Confirm Gmail Connection
Before scanning, verify Gmail MCP is available. If not connected, tell the user:
"I need Gmail access to scan for RFQ emails. Go to Settings → Connectors → Gmail and connect your account, then come back and try again."
Step 2 — Search for RFQ Emails
Search Gmail using these query terms (combine with OR logic):
subject:(quote OR rate OR RFQ OR "need a truck" OR "freight quote" OR "can you cover" OR pricing OR "rate request")
is:unread
newer_than:7d
Also check:
- Emails with load details in the body (origin, destination, weight, dims)
- Replies to existing quote threads asking for updated pricing
- Emails from known shipper domains (if the broker has provided a list)
Retrieve up to 20 emails per scan unless the user specifies a different window.
Step 3 — For Each RFQ Email Found
Extract these fields from the email body:
| Field | Look For |
|---|---|
| Sender name + company | From field + email signature |
| Origin | "from", "pickup at", "origin", city/state/zip |
| Destination | "to", "deliver to", "destination" |
| Commodity | What is being shipped |
| Weight | lbs, tons, weight |
| Dimensions | L x W x H, length, width, height |
| Service type | flatbed, reefer, van, LTL, Conestoga, hot shot |
| Requested pickup date | "pickup", "available", "ready" |
| Requested delivery date | "delivery", "due", "needed by" |
| Any rate already mentioned | If shipper gave a target rate |
If fields are missing and cannot be inferred, flag them as [UNKNOWN — confirm with shipper] in the draft rather than asking the broker to go back and re-read.
Step 4 — Present a Summary Table
Before drafting replies, show a summary of all RFQs found:
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 · 156 lines · 129 tokens per session scan A f8703dcc0661
rfq-email-scanner is a skill published in the GitHub repository millisa09/freight-quote-claude-skills (5 stars, last pushed 4mo ago), licensed MIT. It adds 129 tokens to every session and 1,235 once invoked, about $0.0006 per session on Opus 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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