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SKILL verified MIT-0 Self-run

Pricewin Booking Assistant

skill-price-win-pricewin-skills-hub-pricewin-booking-assistant · by Price-Win

Recommend hotels and rooms, generate direct OTA booking links for Agoda and Booking.com. Use when booking a hotel, getting room recommendations, or generating booking links.

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Install

$ agentstack add skill-price-win-pricewin-skills-hub-pricewin-booking-assistant

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-price-win-pricewin-skills-hub-pricewin-booking-assistant)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
26d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Booking Assistant

Server: pricewin MCP. Orchestrates search → compare → recommend workflow across Agoda + Booking.com.

Recommendation Algorithm

  1. Search: search_hotels with city + guest count + budget filters
  2. Score: rating × log(reviewCount + 1) — balances quality with credibility
  3. Rank: top 3-5 hotels by score
  4. Compare: compare_hotel_prices for each shortlisted hotel
  5. Recommend: filter rooms by guest capacity → pick best value

Booking Link Rules

  • NEVER invent URLs — only use url from providers[] or room data
  • Links go directly to OTA (Agoda/Booking.com) booking pages
  • Always show the OTA source name alongside the link
  • If multiple OTAs have the same room, show both with prices

Multi-Hotel Comparison

When user wants to compare across hotels:

  1. search_hotels with filters → get top candidates
  2. compare_hotel_prices for each (parallel if possible)
  3. Present side-by-side: hotel name, best room price, cancellation, rating

Output Format

For each recommendation:

### Hotel Name ★★★★☆
- Rating: 8.5/10 (1,234 reviews)
- Best room: Deluxe Double — $85/night
- Free cancellation: Yes
- Book: [Agoda](url) | [Booking.com](url)

Key Parameters

| Tool | When to Use | |------|-------------| | search_hotels | Initial discovery with filters | | get_hotel_details | Deep dive on a specific hotel | | compare_hotel_prices | Date-specific price comparison | | get_popular_hotels | Quick recommendations without filters | | autocomplete_city | Resolve city name to slug |

Payload shapes: [reference.md](reference.md).

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.