SKILLEMALL.ai

BD travel-itinerary-builder

旅行行程规划总入口。当用户提出多日旅行规划、制作旅行手册、定制亲子/家庭出游行程、 或任何涉及 "旅行计划" "行程安排" "出游攻略" "旅游攻略" "day trip" "itinerary" 等请求时触发。产出格式为自包含 HTML(零外部 CDN 依赖),包含每日时间线、 景点卡片(图片/交通/流程/贴士)、能量趋势图、后勤工具箱。内容深度对标首尔 6 日 亲子游手册——每个景点都有时间预估、交通指引、why/how/tips 三层信息结构。 自动适配航班时刻、当地天气、儿童年龄。

ClawHub Agent Skills author: linex5709 v1.0.0 MIT-0 6 files body ≈ 1 085 tokens Open the sourceclawhub.ai analyzed 23 h ago

旅行行程规划总入口。当用户提出多日旅行规划、制作旅行手册、定制亲子/家庭出游行程、 或任何涉及 "旅行计划" "行程安排" "出游攻略" "旅游攻略" "day trip" "itinerary" 等请求时触发。产出格式为自包含 HTML(零外部 CDN 依赖),包含每日时间线、…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 41 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1085 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
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 247: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 41 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This skill is a disclosed travel-itinerary generator with low-impact scope issues but no evidence of hidden access, persistence, credential handling, exfiltration, or destructive behavior.
LLM: benign (high) · VirusTotal: · 9 Aug 2026