hotel-search

hotel-search is a skill for Claude Code, Codex from mtnrabi/travel-agent-skills. It costs 243 tokens per session (2,508 once invoked), scanned A, original, MIT.

A hotel-finding tool that searches Booking.com accommodation using a destination, dates, price limit, and filters such as star rating, breakfast, parking, or a pool. It can also check a named property's availability and price.

In plain words
What is it for?
Use it to find hotels in a city, neighborhood, landmark, or airport area, or to check whether a specific hotel is available for given dates.
Why use it?
It removes the need to compare accommodation listings manually across many search options. The results include prices, ratings, room types, locations, images, and booking links.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the travel-agent-skills plugin — 8 skills, 2 MCP servers shipped together

Good fit Use it to find hotels in a city, neighborhood, landmark, or airport area, or to check whether a specific hotel is available for given dates.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mtnrabi/travel-agent-skills/hotel-search
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 mtnrabi/travel-agent-skills --skill hotel-search
Clone the repo
git clone --depth 1 https://github.com/mtnrabi/travel-agent-skills

Made for: Claude Code, Codex.

Or install travel-agent-skills, the plugin that ships this one along with the rest of its 8 skills, 2 MCP servers.

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 hotel-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/mtnrabi/travel-agent-skills/hotel-search/github.svg)](https://agentmods.dev/skills/mtnrabi/travel-agent-skills/hotel-search)
Your own site
<a href="https://agentmods.dev/skills/mtnrabi/travel-agent-skills/hotel-search"><img src="https://agentmods.dev/badge/skills/mtnrabi/travel-agent-skills/hotel-search/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 hotel-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/mtnrabi/travel-agent-skills/hotel-search"><img src="https://agentmods.dev/badge/skills/mtnrabi/travel-agent-skills/hotel-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 243 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,508 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00243 $0.02508
Opus 5 $0.00121 $0.01254
Sonnet 5 $0.00049 $0.00502
Haiku 4.5 $0.00024 $0.00251

Measured 8d ago against content hash d03461cb9c92, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

hotel-search 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 8d 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.

curl -sS -X POST "https://booking-live-api.p.rapidapi.com/search" \
skills/hotel-search/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

Two endpoints on the hotels REST API answer almost every accommodation question: POST /search for "what can I stay in at this destination", and POST /hotel_by_name for "is this exact property available and what does it cost". Use travel-data-api for auth, base URL, and endpoint details; prefer the hosted MCP tools when a client is configured, and otherwise run hotel work over REST with the RapidAPI header pair. Response fields you will actually see are properties[].name, price, price_string, review_score, review_count, room_type, location, image_url, link from /search, and name, available, price, price_string, review_score, review_count, room_type, image_url, link, nights, adults, children from /hotel_by_name.

Endpoints

Job the user has Endpoint Required Optional
"Find me a hotel in X" POST /search destination (free text), checkin_date, checkout_date (YYYY-MM-DD) adults (default 2), children (default 0), currency (default USD), budget_per_night, proxy_country (two-letter code), filters[]
"Is the Hotel X available / how much?" POST /hotel_by_name hotel_name, checkin_date, checkout_date area (disambiguates generic names), adults, children, currency, proxy_country, free_cancellation

Host: booking-live-api.p.rapidapi.com. Both endpoints are POST with a JSON body.

Workflow

  1. Decide which endpoint the question is. A named property ("the Gracery Shinjuku", "Hilton Midtown") is /hotel_by_name. Anything shaped like a destination, area, or "somewhere near X" is /search.
  2. Pin down dates before calling. Both endpoints require checkin_date and checkout_date in YYYY-MM-DD. If the user said "three nights in September", ask or state the dates you assumed — do not guess silently, because a wrong date is a wasted billed request.
  3. Translate the user's soft constraints into hard parameters. "Under $200 a night" is budget_per_night, "4-star with good reviews and free cancellation" is filters: ["stars_4", "review_score_8", "free_cancellation"]. Only send filters the user actually implied; each one narrows the result set.
  4. For /hotel_by_name, always send area when the name is generic ("Hilton", "Ibis Budget", "Grand Hotel"). Without it the API can match a same-named property in another city.
  5. Read the result honestly. An empty properties array and available: false are both valid answers, not errors — see Common Pitfalls. Report the price with the timestamp of the call.

Read the full file on GitHub · 119 lines

Files

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.

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. 8d ago Changed d03461cb9c92
  2. 12d ago First seen · 119 lines · 243 tokens per session scan A 7d8a37b76303

Subscribe to this mod's changes

hotel-search is a skill published in the GitHub repository mtnrabi/travel-agent-skills (4 stars, last pushed 8d ago), licensed MIT. It adds 243 tokens to every session and 2,508 once invoked, about $0.0012 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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