Airbnb Agent
PassAudited by ClawScan on May 8, 2026.
Overview
The skill appears to do what it says—search public Airbnb listings and analyze detail pages—but it relies on unpinned Python packages and external Airbnb web requests.
This looks suitable for public Airbnb listing research. Before installing, be aware that setup downloads third-party Python packages, and searches send your dates, guest count, location area, and listing requests to Airbnb-related services. Do not add Airbnb cookies, payment details, or login credentials unless the skill is updated and reviewed for that purpose.
Findings (2)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Running setup trusts the current versions of third-party packages, which could change behavior over time.
The setup script installs runtime dependencies without pinned versions or hashes. This is purpose-aligned for a Python Airbnb search skill, but future package changes are outside the reviewed artifacts.
"$VENV/bin/pip" install --quiet pyairbnb curl-cffi
Install only if you trust the package source; maintainers should add pinned requirements or a lockfile with hashes.
Airbnb receives the search/detail parameters, and automated fetching may be rate-limited or subject to site terms.
The detail script fetches Airbnb pages using listing IDs plus check-in, check-out, and guest-count parameters. This matches the stated listing-analysis purpose, but it is still automated third-party web access.
url = f"https://www.airbnb.com/rooms/{c['room_id']}?check_in={args.check_in}&check_out={args.check_out}&adults={args.guests}"Use it only for public listing research, avoid adding credentials or cookies, and verify important amenities directly before booking.