itinerary-validation-check
A final verification step to ensure the JSON output meets all structural and constraint requirements before delivery.
- License 许可
- MIT
- 最近更新
- 2026-10-02
- Stars
- ★ 92
- Forks
- 7
01 前言 Front Matter
- name
- itinerary-validation-check
- description
- A final verification step to ensure the JSON output meets all structural and constraint requirements before delivery.
03 SKILL.md 正文
- Day Count Verification: Ensure the
planarray contains exactly 7 objects representing Day 1 to Day 7. - Attraction Field Validation:
- Iterate through every day object.
- Verify that the
attractionstring is not empty (""). - Verify that the
attractionstring is not a null-placeholder ("-"). - Confirm the trailing semicolon format.
- Constraint Check:
- Confirm
transportationnever mentions "flight" or "plane". - Confirm
accommodationis sourced from the database and is pet-friendly. - Confirm
data_sourceslists all files accessed (e.g., distance matrix, restaurant csv, etc.).
- Confirm
- City Consistency: Ensure that if the
current_cityis "from A to B", the restaurants and attractions for that day are located in A, B, or a city on the path between them. - Budget Check: Sum the estimated costs of restaurants and accommodations (if price data is available in the CSV) to ensure the total is within the $5,100 limit.
04 同仓库更多 Skills
object_counter
Count occurrences of an object in the image using computer vision algorithm.
travel-planning-workflow
Invoke this skill when performing travel planning. It defines a structured workflow for generating itineraries. Following this workflow is essential to ensure the final plan satisfies user requirements.
bundled-dataset-search-tool
invoke this skill when you need to perform database search for travel planning. This skill provides some useful pre-packaged tools to look up accommodations, attractions, cities, driving distance, flights, and restaurants from the bundled dataset.
glm-output
Output-processing guidance for GLM tasks. Especially useful after glm-basics and glm-calibration when you need verifier-matching metrics from output.nc and a final /root/metrics.json.
glm-calibration
Calibration guidance for GLM tasks. Often most effective after glm-basics has clarified the setup; glm-output is the companion skill for exact final metric computation.
glm-basics
A good starting point for GLM calibration tasks. Use to inspect glm3.nml, confirm how GLM runs, and identify the relevant files before moving on to calibration and output evaluation.