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 everway-ai/everway-mcp-server --skill add-bookings-from-textgit clone --depth 1 https://github.com/everway-ai/everway-mcp-serverWrote 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/everway-ai/everway-mcp-server/add-bookings-from-text)<a href="https://agentmods.dev/skills/everway-ai/everway-mcp-server/add-bookings-from-text"><img src="https://agentmods.dev/badge/skills/everway-ai/everway-mcp-server/add-bookings-from-text/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/everway-ai/everway-mcp-server/add-bookings-from-text"><img src="https://agentmods.dev/badge/skills/everway-ai/everway-mcp-server/add-bookings-from-text.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 | $0.00100 | $0.01067 |
| Opus 5 | $0.00050 | $0.00534 |
| Sonnet 5 | $0.00020 | $0.00213 |
| Haiku 4.5 | $0.00010 | $0.00107 |
Grade A, and why
add-bookings-from-text 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Add Bookings from Text
Keywords
add booking, add this to my trip, add reservation, add my flight, add hotel, paste confirmation, booking confirmation, add these to Everway, put this on the itinerary, import bookings, add dinner reservation, add activity
Overview
Everway's core habit is forwarding confirmation emails to a trip's private @everway.ai address. When the user pastes booking details into chat instead, this skill turns that text into structured itinerary items so the result is the same: everything on one day-by-day plan with maps.
Use this skill when: the user pastes confirmation text, describes bookings in free text, or asks to add one or more reservations to a trip.
Workflow
Step 1: Pick the trip
Call list_trips and match against context (trip name, dates, destination).
- One obvious match → use it and say which trip you're adding to.
- Ambiguous → ask, showing trip names and dates.
- No trip yet → call
get_accountfirst. IfcanCreateTripis true, offer tocreate_tripwith a name and dates inferred from the bookings. If false, relay the upgrade message rather than failing silently.
Step 2: Extract one item per booking
Split the text into discrete bookings and extract fields for each:
| Field | What to look for |
|---|---|
title |
Short and specific, e.g. "ANA 109 to Tokyo", "Park Hyatt Tokyo" |
category |
One of: flight, lodging, train, ferry, bus, car, transfer, restaurant, activity, document, note |
startsAt / endsAt |
ISO 8601 local time, e.g. 2026-08-27T11:45 (no timezone offset) |
timezone |
IANA name like Asia/Tokyo when the location makes it clear |
locationName / address |
Venue name and street address — Everway geocodes these onto the trip map automatically, so don't invent coordinates |
confirmationNumber |
Booking reference, PNR, reservation code |
costAmount / currency |
Amount and 3-letter code (defaults to USD if omitted) |
provider |
Airline, hotel chain, or vendor |
notes |
Anything useful that doesn't fit elsewhere (seat, gate, cancellation policy) |
What ships with it
1 file 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.
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 · 75 lines · 100 tokens per session scan A 7c55175bb3c2
add-bookings-from-text is a skill published in the GitHub repository everway-ai/everway-mcp-server (1 stars, last pushed 1mo ago), licensed MIT. It adds 100 tokens to every session and 1,067 once invoked, about $0.0005 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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