AC southeast-asia-arrival-card
亚洲入境卡填写助手。支持马来西亚、泰国、新加坡、印尼、越南、菲律宾、日本、韩国等亚洲国家的入境卡/签证申请填写指导。输入目的地国家、护照信息、行程信息，提供详细的入境卡填写操作指南，包含完整流程、字段说明、异常处理和自动化脚本建议。当用户提到"入境卡"、"入境卡怎么办"、"签证申请"、"马来西亚/泰国/新加坡/印尼/越南/菲律宾/日本/韩国入境"时使用。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
The same skill appears in 1 more place: ClawHub
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: 16. 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")
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. 150 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2522 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
- -2105 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +3Description length 178: enough signal without eating the budget
- +4Structure: 32 headings
- +3Step-by-step instructions: 150 items
- +4Has examples (6 code blocks)
- +4Reference files are cited in the instructions (12 of 13)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.
External checks
ClawHub: suspicious
This is a legitimate travel-form helper, but it handles passport and travel data and provides government-form automation guidance without enough privacy and final-approval safeguards.
LLM: suspicious (high) · VirusTotal: · 29 May 2026