AC smart-hotel-search
智能酒店搜索 - 处理非标准酒店需求（如"安静酒店"、"宠物友好"、"无边泳池"等），结合小红书内容发现和飞猪预订对接。Use when: (1) 用户搜索酒店但需求无法用标准筛选表达（如"适合带老人的酒店"、"隔音好的酒店"）(2) 用户提到场景化需求（如"带狗住哪"、"网红打卡酒店"）(3) 需要从用户真实评价中找酒店推荐。不适用于：标准酒店搜索（目的地+日期+价格），这种情况直接使用flyai。
As a process C 61/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches
How to improve
For the model run — optional
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: 智能酒店搜索 - 处理非标准酒店需求（如"安静酒店"、"宠物友好"、"无边泳池"等），结合小红书内容发现和飞猪预订对接。Use wh… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
Process rating: all ten parameters 61/100
- 0Result and completion. Does not say what the result is
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 22 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 481 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 202: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 22 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.
External checks
ClawHub: suspicious
The skill has a coherent hotel-search purpose, but it asks users to install browser automation that can use a logged-in Xiaohongshu Chrome session without enough safety warnings or limits.
LLM: suspicious (high) · VirusTotal: · 29 May 2026