travel-guide
travel-guide is a Travel, food & lifestyle skill for AI agents, published by Kkkirito-123 in the ZLAgent repository on GitHub. Skillspace rates travel-guide D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Generate a single rich-card travel itinerary on demand. The user names a destination plus a duration ("<DEST>三日游", "<DEST>赏樱攻略", "<DEST>美食推荐") and the agent returns ONE structured RichMessage covering route, food, transport, stay, budget, pitfalls, and packing. v0.38 replaced the v0.37.5 multi-section streaming flow with a single rich-content card, which (a) avoids WeChat rate limits (used to fan out 6+ messages), (b) renders as a clean markdown card on wecom_bot, (c) renders as CJK-aligned plain text on weixin (no more broken markdown tables).
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 25
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.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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