SKILLEMALL.ai

AF family-trip-travel

亲子 / 带娃出行(family-trip-travel):把「去哪、怎么玩、怎么订」说成可照抄的攻略——结合旅行平台检索,在用户提供城市或目的地时默认给出可预订的酒店、景点、套餐与航班等,并在回复里配封面图与预订入口;用户明确只要理念、不要商品时改为纯文字方案。覆盖推车午休、单人带娃、雨天备选、儿童票与退改提醒等亲子常见约束(具体票规与设施以预订页为准)。输出结构:导语、行程条件表、方案对比、日程骨架、预订参考、行前核对;对用户避免技术/内部用语,细则见 references/output-professional.md。检索命令与参数在正文;本包不实现搜索后端。

ClawHub Agent Skills author: Mocker v1.0.0 MIT-0 9 files body ≈ 1 911 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: 图片完整URL, 完整URL, ...

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: 图片完整URL, 完整URL, ...
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: 图片完整URL
  • warning missing-ref reference to a missing file: 完整URL
  • warning missing-ref reference to a missing file: ...

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: 图片完整URL, 完整URL, ...
  • 0Tools and files. 3 referenced file(s) missing: 图片完整URL, 完整URL, ...
  • 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
  • 100Steps. 44 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1911 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill

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

  • +5Description has no quoted example phrases that should trigger the skill
  • +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
  • +3Description length 286: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 44 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This is a coherent family-travel planning skill that uses a disclosed external travel-search CLI to find hotels, flights, attractions, images, and booking links.
LLM: benign (high) · VirusTotal: · 29 May 2026