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 agentmods add skills/imoonkey/openweb/ctripnpx skills add imoonkey/openweb --skill ctripgit clone --depth 1 https://github.com/imoonkey/openwebWhat 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 | $0.00000 | $0.01314 |
| Opus 5 | $0.00000 | $0.00657 |
| Sonnet 5 | $0.00000 | $0.00263 |
| Haiku 4.5 | $0.00000 | $0.00131 |
Grade A, and why
ctrip 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 2d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trip.com / Ctrip
Overview
China's largest travel platform (Ctrip International). Flights, trains, attractions, and destination guides via Trip.com's internal POST-only REST APIs. Travel archetype.
Workflows
Search and compare flights
searchPOI(key)→code(city/airport IATA code),districtIdsearchFlights(departCode, arriveCode, departDate)→flightItineraryList[]withflightNo, prices;tokengetFlightCalendarPrices(dCity, aCity, dDate)→ cheapest fare per day across a monthgetFlightComfort(flightNo, dCity, aCity, dDate)→ seat pitch, WiFi, entertainment for a specific flightgetFlightFilters(token)→ available filter options (airline, stops, cabin) for refining results
Plan a train journey
getTrainStations()→stationCode,stationName,cityNamesearchTrains(departStation, arriveStation, departDate)→trainList[]withtrainNumber,seatList[]{seatType, price, available}getTrainCalendar(departStation, arriveStation, month)→calendarList[]{date, available, lowestPrice}
Explore a destination
getHotDestinations()→id(districtId),word(destination name)getCityList(countryId)→districtId,cityNamegetDestinationInfo(districtId)→ sights, hotels, restaurants, comments; alsotoursAndTickets[]{productId}searchAttractions(sceneCode)→productId,productName, rating, pricegetAttractionDetail(productId)→ description, tickets, opening hours, reviews
Operations
| Operation | Intent | Key Input | Key Output | Notes |
|---|---|---|---|---|
| searchPOI | find city/airport codes | key (keyword) | results[]{name, code, districtId} | entry point for flights/trains |
| searchFlights | search flights | departCode ← searchPOI.code, arriveCode ← searchPOI.code, departDate | flightItineraryList[]{flightNo, airline, times, price}, token | requires Head object |
| getFlightCalendarPrices | cheapest fares per day | dCity ← searchPOI.code, aCity ← searchPOI.code, dDate | lowPriceInCalenderDtoInfoList[]{date, price} | calendar view |
| getFlightComfort | aircraft comfort info | flightNo ← searchFlights, dCity ← searchPOI.code, aCity ← searchPOI.code, dDate | flightComfortList[]{seatPitch, wifi, entertainment} | |
| getFlightFilters | flight filter options | token ← searchFlights | filterList[]{filterType, options[]{label, value, count}} | refine search results |
| getTrainStations | list train stations | — | stationList[]{stationName, stationCode, cityName} | entry point for trains |
| searchTrains | search trains | departStation ← getTrainStations.stationCode, arriveStation ← getTrainStations.stationCode, departDate | trainList[]{trainNumber, times, seatList with prices} | |
| getTrainCalendar | train availability calendar | departStation ← getTrainStations.stationCode, arriveStation ← getTrainStations.stationCode, month | calendarList[]{date, available, lowestPrice} | |
| getHotDestinations | trending destinations | — | data[]{id, word, url} | entry point; id = districtId |
| getCityList | cities in a country | countryId | cityList[]{districtId, cityName, imageUrl} | entry point for exploration |
| getDestinationInfo | destination travel guide | districtId ← getHotDestinations.id / getCityList.districtId | hotDistrict, classicRecommendSight[]{poiName, rating}, classicRecommendHotel[]{hotelName, price}, hotComment[]{content, rating} | www.trip.com |
| searchAttractions | things to do | sceneCode (e.g., city_sight_list) | list[]{productId, productName, rating, price}, sortRuleList[]{sortType, sortName} | www.trip.com |
| getAttractionDetail | attraction detail | productId ← searchAttractions.productId | description, rating, reviewCount, tickets, hours | www.trip.com |
| getGeneralInfo | site info/announcements | — | savedTips, travelTipsList[]{title, content}, promotionList[]{title, linkUrl}, noticeList[]{title, content} | utility |
What ships with it
14 files 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.
- adapters/ctrip.ts 4.2 KB runs code
- DOC.md 7.5 KB
- examples/getDestinationInfo.example.json 265 B
- examples/getFlightComfort.example.json 318 B
- examples/getGeneralInfo.example.json 341 B
- examples/getHotDestinations.example.json 358 B
- examples/getTrainStations.example.json 181 B
- examples/searchAttractions.example.json 305 B
- examples/searchFlights.example.json 766 B
- examples/searchPOI.example.json 254 B
- examples/searchTrains.example.json 177 B
- manifest.json 941 B
- openapi.yaml 45 KB
- PROGRESS.md 7.0 KB
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.
- 2d ago First seen · 67 lines · 0 tokens per session scan A cefe6904387a
ctrip is a skill published in the GitHub repository imoonkey/openweb (56 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,314 tokens. 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 2026-08-30.
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