AD travel-planner
智能旅行攻略规划师。根据用户提供的出行信息（人数、男女比例、关系、出发地、目的地、日期、天数）， 直接调用高德地图 REST API 获取实时路线、POI、距离等数据，生成完整的个性化旅行攻略。 攻略包含：创意名称、出行方式建议（含当地租车判断）、分时段行程（早午晚三餐均有具体推荐）、 景点推荐（含高铁站→景点距离）、住宿推荐（1-2家性价比酒店）、出行物资清单、注意事项、费用汇总。 当用户说"帮我做旅行攻略"、"规划一下行程"、"出去玩怎么安排"等时触发。
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "env" - note
frontmatter-keyunknown frontmatter key "requires"
Process rating: all ten parameters 41/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 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
- 40Consistency. Frontmatter name (travel-planner) differs from the folder (travel-planner-amap)
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 100Steps. 23 steps
- 100Execution cost. Instruction body is 2422 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 231: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (8 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.
External checks
ClawHub: clean
This is a straightforward travel-planning skill that uses Amap and weather search as advertised, with privacy considerations around sharing trip details with external services.
LLM: benign (high) · VirusTotal: · 29 May 2026