SKILLEMALL.ai

AC holiday-exodus-planner

节假日出行决策判官:一个帮用户在节假日前一键生成多维评估报告和最佳出行窗口建议的 skill。 用户只需输入一个节假日出游意图(如"五一想出去玩""国庆不想太挤""端午请哪天假"), 即可自动生成一份包含错峰出行窗口、拼假日期、预算范围、目的地裁决的完整决策报告。 只在用户表达节假日出行意图、想了解拼假方案、想获得错峰出行建议、想获得节假日出行预算评估时触发。 不要用于日常通勤、非节假日出行、机票比价、酒店预订执行、签证办理、旅行攻略生成、 景点种草推荐、或已经决定好行程只需订票的场景。

ClawHub Agent Skills author: Keyi v1.0.0 MIT-0 8 files body ≈ 487 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
C
53/100
Has gaps
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: 8. 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")

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 44 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 487 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 246: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 44 items
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This is a coherent holiday travel planning skill with a static report widget; the main risk is a third-party chart script in the widget, not hidden or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026