travel-itinerary-content-planner — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited travel-itinerary-content-planner (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
文案诊断助手用于回答「这段文案能打动人吗」、文旅、路线规划、小红书,适合运营、市场营销、retail、内容媒体在明确业务目标、内容材料或分析对象后调用。 它会结合路线主题与素材、粘贴目的地、路线主题、景点、天数、预算、交通和已有文案。等输入,整理关键上下文,并输出摘要、诊断结论、行动建议和可复用交付物,便于继续执行、复盘或交付。
适用场景
通过导出的 Python runner 直接调用 AI Skills API:
基础调用
python3 scripts/run.py --params '{}'带常用参数调用
python3 scripts/run.py --params '{"itineraryPlanFocus":"路线结构"}'| 参数 | 类型 | 必填 | 默认 | 说明 |
|---|---|---|---|---|
itineraryPlanFocus | string | 否 | 路线结构 | 选择本次文旅路线内容策划最需要优先处理的方向;可选值:路线结构、内容卖点、避坑提醒、转化文案 |
itineraryThemeText | string | 否 | - | 粘贴目的地、路线主题、景点、天数、预算、交通和已有文案 |
travelResourceFile | string | 否 | - | 上传景点资料、图片说明、活动安排、达人笔记或竞品路线 |
travelerPersonaContext | string | 否 | - | 说明亲子/情侣/研学/银发等人群、季节、预算、体力和偏好 |
scheduleConstraintNotes | string | 否 | - | 补充开放时间、交通限制、合作商家、避坑点、转化目标和禁用说法 |
destinationReferenceLink | string | 否 | - | 填写公开可访问的景区页、攻略页、活动页或路线参考链接;需要传可访问的完整 URL |
完整机器可读参数结构见 references/form-schema.json。
当前技能没有需要额外查表的分类参数。
当前技能直接接收 JSON 参数;如果参数里包含链接字段,请传完整、可访问的 URL。
下面的示例参数可直接传给 scripts/run.py,runner 会把它们发送给 AI Skills API。
python3 scripts/run.py --params '{"itineraryPlanFocus":"路线结构"}'等价的 --params JSON:
{
"itineraryPlanFocus": "路线结构"
}{
"success": true,
"data": {
"message": "示例结果请以技能真实返回结构为准。"
},
"meta": {
"executionTime": 842,
"cached": false
}
}AISKILLS_BASE_URL:默认 https://ai-skills.aiAISKILLS_API_KEY:必填,用于认证调用AISKILLS_TENANT_ID:默认 default~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.