Ae1
- Category
- analysis-evasion
- Confidence
- 100% confidence
- Finding
Referenced artifact was not completely inspected
- Content
md - CLI:本 Skill 目录下的 `scripts/ari.py`。在 Skill 根目录执行,例如
Security audit
Security checks for vulnerabilities and agentic risk
This is a coherent ARI Amazon review-analysis skill, but it can spend ARI credits automatically under server-side auto-confirm rules and persist account confirmation settings.
Install only if you are comfortable granting this skill access to your ARI account and sending product/review data to ari.funewa.com. Before using paid workflows, consider setting the ARI confirmation mode to always ask, and use 'only quote, do not execute' when you want pricing without charges.
Referenced artifact was not completely inspected
- CLI:本 Skill 目录下的 `scripts/ari.py`。在 Skill 根目录执行,例如
Referenced artifact was not completely inspected
- CLI:本 Skill 目录下的 `scripts/ari.py`。在 Skill 根目录执行,例如
Referenced artifact was not completely inspected
- CLI:本 Skill 目录下的 `scripts/ari.py`。在 Skill 根目录执行,例如
Referenced artifact was not completely inspected
- CLI:本 Skill 目录下的 `scripts/ari.py`。在 Skill 根目录执行,例如
Referenced artifact was not completely inspected
- CLI:本 Skill 目录下的 `scripts/ari.py`。在 Skill 根目录执行,例如
Referenced artifact was not completely inspected
- CLI:本 Skill 目录下的 `scripts/ari.py`。在 Skill 根目录执行,例如
Referenced artifact was not completely inspected
- CLI:本 Skill 目录下的 `scripts/ari.py`。在 Skill 根目录执行,例如
Referenced artifact was not completely inspected
- CLI:本 Skill 目录下的 `scripts/ari.py`。在 Skill 根目录执行,例如
Referenced artifact was not completely inspected
- CLI:本 Skill 目录下的 `scripts/ari.py`。在 Skill 根目录执行,例如
Referenced artifact was not completely inspected
- CLI:本 Skill 目录下的 `scripts/ari.py`。在 Skill 根目录执行,例如
Referenced artifact was not completely inspected
- CLI:本 Skill 目录下的 `scripts/ari.py`。在 Skill 根目录执行,例如
Referenced artifact was not completely inspected
- CLI:本 Skill 目录下的 `scripts/ari.py`。在 Skill 根目录执行,例如
The script performs extensive authenticated network operations to ari.funewa.com, including account, billing, collection, monitoring, and paid analysis endpoints. In a skill presented as listing optimization, undeclared network reach materially increases risk because it can transmit user queries, commercial data, and bearer-token-authenticated actions to a remote service without permission transparency.
The script performs extensive authenticated network operations to ari.funewa.com, including account, billing, collection, monitoring, and paid analysis endpoints. In a skill presented as listing optimization, undeclared network reach materially increases risk because it can transmit user queries, commercial data, and bearer-token-authenticated actions to a remote service without permission transparency.
The script performs extensive authenticated network operations to ari.funewa.com, including account, billing, collection, monitoring, and paid analysis endpoints. In a skill presented as listing optimization, undeclared network reach materially increases risk because it can transmit user queries, commercial data, and bearer-token-authenticated actions to a remote service without permission transparency.
This markdown file contains user-facing natural-language content exclusively in Chinese, and nowhere indicates that the language is optional, selectable, or limited to a specific regional audience. Under the language/locale policy rule, forcing a single language without user opt-in is a policy concern even when it appears in documentation such as a changelog.
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
- 能力层收窄:44 个专属包不再只是「声明窄」,包体 `scripts/ari.py` 同时按各自契约裁剪。
构建期用 AST 删除文档未承诺的命令、它们的解析器注册块,以及只被它们引用的辅助函数与
常量;专属包因此不再包含 `export`(任意路径写文件)、`autoconfirm`(撤销逐次确认)、
`workbench`(改写差评处理状态)、`alerts`(标记预警已读)、`competitors`、`schedule`、
`voc` / `analyze` / `charts` / `deepdive` 等母版命令。
- 新增运行期兜底闸:专属包在包内写入 `allowedCommands` 白名单,`ari.py`
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
- 能力层收窄:44 个专属包不再只是「声明窄」,包体 `scripts/ari.py` 同时按各自契约裁剪。
构建期用 AST 删除文档未承诺的命令、它们的解析器注册块,以及只被它们引用的辅助函数与
常量;专属包因此不再包含 `export`(任意路径写文件)、`autoconfirm`(撤销逐次确认)、
`workbench`(改写差评处理状态)、`alerts`(标记预警已读)、`competitors`、`schedule`、
`voc` / `analyze` / `charts` / `deepdive` 等母版命令。
- 新增运行期兜底闸:专属包在包内写入 `allowedCommands` 白名单,`ari.py`
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
- 能力层收窄:44 个专属包不再只是「声明窄」,包体 `scripts/ari.py` 同时按各自契约裁剪。
构建期用 AST 删除文档未承诺的命令、它们的解析器注册块,以及只被它们引用的辅助函数与
常量;专属包因此不再包含 `export`(任意路径写文件)、`autoconfirm`(撤销逐次确认)、
`workbench`(改写差评处理状态)、`alerts`(标记预警已读)、`competitors`、`schedule`、
`voc` / `analyze` / `charts` / `deepdive` 等母版命令。
- 新增运行期兜底闸:专属包在包内写入 `allowedCommands` 白名单,`ari.py`
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
- 能力层收窄:44 个专属包不再只是「声明窄」,包体 `scripts/ari.py` 同时按各自契约裁剪。
构建期用 AST 删除文档未承诺的命令、它们的解析器注册块,以及只被它们引用的辅助函数与
常量;专属包因此不再包含 `export`(任意路径写文件)、`autoconfirm`(撤销逐次确认)、
`workbench`(改写差评处理状态)、`alerts`(标记预警已读)、`competitors`、`schedule`、
`voc` / `analyze` / `charts` / `deepdive` 等母版命令。
- 新增运行期兜底闸:专属包在包内写入 `allowedCommands` 白名单,`ari.py`
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
- 能力层收窄:44 个专属包不再只是「声明窄」,包体 `scripts/ari.py` 同时按各自契约裁剪。
构建期用 AST 删除文档未承诺的命令、它们的解析器注册块,以及只被它们引用的辅助函数与
常量;专属包因此不再包含 `export`(任意路径写文件)、`autoconfirm`(撤销逐次确认)、
`workbench`(改写差评处理状态)、`alerts`(标记预警已读)、`competitors`、`schedule`、
`voc` / `analyze` / `charts` / `deepdive` 等母版命令。
- 新增运行期兜底闸:专属包在包内写入 `allowedCommands` 白名单,`ari.py`
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
- 能力层收窄:44 个专属包不再只是「声明窄」,包体 `scripts/ari.py` 同时按各自契约裁剪。
构建期用 AST 删除文档未承诺的命令、它们的解析器注册块,以及只被它们引用的辅助函数与
常量;专属包因此不再包含 `export`(任意路径写文件)、`autoconfirm`(撤销逐次确认)、
`workbench`(改写差评处理状态)、`alerts`(标记预警已读)、`competitors`、`schedule`、
`voc` / `analyze` / `charts` / `deepdive` 等母版命令。
- 新增运行期兜底闸:专属包在包内写入 `allowedCommands` 白名单,`ari.py`
The entire README instructs the user in Chinese and provides only Chinese example prompts such as at L10 and L20, with no indication that other languages are supported or that Chinese is a required locale. Under the policy, forcing a specific language without user opt-in is a natural-language policy violation unless the locale constraint is explicitly documented and justified.
The description says to use the skill when the user asks about broad topics like listing optimization, copywriting from reviews, title optimization, and rewrite requests. These phrases are common across many ordinary e-commerce assistance requests and the file does not provide negative examples or clear limits for when this skill should not activate versus other related skills.
The skill instructs the agent to default to running a VOC command that may immediately generate a paid report under server-side auto-confirm rules, without obtaining an explicit per-action confirmation from the user in the current interaction. That creates a real risk of autonomous spending and execution of billable actions based on inferred intent rather than fresh, explicit consent.
1. 运行 `check`,确认账户、邮箱验证状态和可用积点。
2. 用户要 VOC / 评论分析报告时,默认运行 `voc <ASIN> --site <站点>`。
**返回里有 `autoConfirmed: true` 就说明已经直接生成了**(1.4.5 起:服务端对前几次小额
付费操作免确认,用户先拿到结果再谈钱),此时把报告讲给用户,并转述 `autoConfirmNote`
(本次扣了多少、还剩几次免确认、之后会先问)。**不要在拿到结果后再补问「要不要生成」。**
3. 返回 `confirmationRequired: true` 才需要用户确认:报出 `totalCredits` 与余额,
No suspicious patterns detected.