Fake follower audit
Skill creativault/skills/creator-scraper-cv/audit/fake-follower-audit
CreatiVault official fake-follower and engagement-quality audit skill. MUST be used when the user wants to inspect one TikTok, Instagram, or YouTube creator for fake followers, suspicious engagement, bot/template comments, audience authenticity, interaction quality, creator risk, or account health. Accepts a creator profile URL or platform plus username/user ID and calls CreatiVault OpenAPI through scripts/fake_follower_audit.mjs. Do not infer fake-follower risk from public web pages or follower counts alone. Use when: fake follower audit, fake followers, follower authenticity, engagement authenticity, suspicious followers, bot comments, creator risk, account health, 假粉检测, 假粉率, 粉丝真实性, 互动真实性, 刷粉, 刷量, 机器评论, 达人风险, 账号健康度, 检测这个达人有没有假粉.From its SKILL.md
npx -y skills add creativault/skills --skill fake-follower-auditAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 6 stars6 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
4.3 KB, ~1.2k tokens by cl100k_base, as published. Nobody here has run it
Fake Follower Audit（达人假粉检测）
调用方式
对单个达人执行同步检测：
# 方式一：达人主页链接
node ../../scripts/fake_follower_audit.mjs '{"profile_url":"https://www.tiktok.com/@creator","lang":"cn"}'
# 方式二：平台 + 达人标识
node ../../scripts/fake_follower_audit.mjs '{"platform":"instagram","platform_user_id":"creator","lang":"en"}'
profile_url 与 platform + platform_user_id 必须且只能选择一组。
参数
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
profile_url | string | 条件必填 | TikTok / Instagram / YouTube 达人主页链接 |
platform | string | 条件必填 | tiktok / instagram / youtube |
platform_user_id | string | 条件必填 | username / union_user_id / sec_user_id |
service_level | string | 否 | S1 / S2 / S3，后端默认 S1 |
lang | string | 否 | cn / en；Navos 国内默认 cn，海外和 common 默认 en |
不要把视频 URL 当作 profile_url。用户只提供视频链接时，先从链接或已有数据中确认达人主页/标识；无法确认时向用户澄清。
结果字段
| 字段 | 说明 |
|---|---|
quality_score | 互动质量分，0～100，越高越健康 |
fake_follower_rate | 假粉率，小数形式；0.12 表示 12% |
risk_level | low / medium / high / critical |
conclusion | 检测结论，语言由 lang 控制 |
abnormal_types | 异常类型列表 |
signals | 粉丝、互动率、播放粉丝比和评论质量等检测信号 |
creator_profile | 昵称、头像、粉丝数、关注数及受众画像 |
partial_result | 是否因评论、内容或达人资料不足而降级 |
warnings | 降级和数据缺失告警 |
强制解释规则
fake_follower_rate是模型和规则综合估算值，不是平台官方粉丝逐账号审计结果。- 百分比展示必须乘以 100，例如
0.2395展示为23.95%。 quality_score越高越健康，不能反向解释。risk_level=critical也可能表示资料不足导致无法有效检测；必须同时阅读conclusion、partial_result和warnings。partial_result=true时明确标注“部分数据可用”，不要把结果描述为完整审计。- 不要根据粉丝量、单条互动率或网页观感自行补充接口未返回的风险结论。
- 检测失败或无权限时，不要切换网页搜索伪造结果。
推荐展示
达人：{creator_profile.nick_name}
平台：{platform}
粉丝：{creator_profile.followers_cnt}
假粉率估算：{fake_follower_rate * 100}%
互动质量分：{quality_score}/100
风险等级：{risk_level}
结论：{conclusion}
异常信号：{abnormal_types}
数据状态：完整 / 部分数据可用
signals 和受众画像只展示接口实际返回且有值的字段。
计费与权限
- 按
/openapi/v1/fake-follower-audit/run后台计费规则和租户套餐扣费，不在 Skill 内写死 credits。 - 仅在后端返回
40201时提示积分不足。 - 返回
40301时提示当前 API Key 未开通假粉检测权限，不要自动重试。 - 相同达人可能命中后端 7 天缓存，但是否扣费仍以后端响应和计费规则为准。
References
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.