chinatravel-agent-env

chinatravel-agent-env is an LLM evaluation & observability skill for AI agents, published by LAMDA-NeSy in the ChinaTravel repository on GitHub. Skillspace rates chinatravel-agent-env B (81/100) and it passed the safety scan; the rating is based on static analysis only.

Use when solving ChinaTravel benchmark queries with the local agent_env CLI, including loading benchmark queries, inspecting attractions/restaurants/hotels/transport, producing itinerary JSON, and evaluating one solved query.

Grade
B
Quality
81 / 100
Safety
Passed
GitHub stars
118

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubLAMDA-NeSy/ChinaTravel

Our review

Architecture
100 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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