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Security audit

Amazon 商品图片规划

Security checks for vulnerabilities and agentic risk

Overview

This image-planning skill includes broader paid automation with conflicting approval rules that could cause unexpected charges.

Prefer a corrected package that enforces its image-planning scope and approval before charges. If proceeding, set ARI to ask before every charge, request manual-only collection, and check recurring schedules before adding competitors. The broader billing concerns are supported by the artifacts; ordinary API access and free monitoring reads are not independently concerning.

Vulnerability Patterns
  • Insecure Skill Coding PracticesFinds exploitable flaws such as hardcoded secrets or command injection
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
Findings (2)

T09 · Insecure Skill Coding Practices

Warning
Location
scripts/ari.py
Finding

Recurring paid collection can be enabled without an executable confirmation gate

Content
View full analysis

Impact

A direct invocation can activate continuing credit-consuming collection without the required separate approval of recurring costs.

T09 · Insecure Skill Coding Practices

Warning
Location
scripts/ari.py
Finding

Deepdive's quote-only fallback can silently become a paid analysis

Content
View full analysis

Impact

An Agent or integration relying on that documented read/quote-only behavior can consume account credits unexpectedly. In the missing-product branch, the output can additionally claim that analysis was downgraded and no credits were charged even though the helper submitted it.

Vulnerability Patterns
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
Findings (87)

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The declared scope is limited to planning image content. Recurring monitoring, watch lifecycle management, and price acceptance are distinct capabilities not disclosed by that description. Although Amazon data could support image planning, these commands expose ongoing monitoring rather than merely obtaining product details and reviews for that task. The snippet does not establish that charges occurred or watches were actually executed.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
98% confidence
Finding

The supplied commands configure and manage ongoing monitoring rather than plan product-image information. Recurring watches, competitor tracking, and per-refresh price acceptance are material capabilities not disclosed by the image-planning-only description. Although Amazon product access and an ARI API key are consistent with the declared domain, they do not account for these additional operations. The underlying script is not provided, so the assessment is limited to the CLI operations explicitly shown.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
98% confidence
Finding

The declared purpose is limited to image-information planning, whereas the supplied commands expose ongoing product-monitoring and collection-scheduling controls. Configuring recurring, potentially billable collection is a distinct operational capability not disclosed in that purpose, rather than merely processing product details and reviews to plan image content. The underlying implementation is not provided, so this assessment is limited to the command interface and its documented effects.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
98% confidence
Finding

The declared scope is limited to image-information planning, but the command surface supports an ongoing monitoring service with scheduling, lifecycle management, and pricing acceptance. These are materially broader capabilities, not merely implementation details for planning image content. The chunk does not show image generation, advertising, or automatic publishing.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
98% confidence
Finding

The document mixes an image-planning-only entry with generic operating instructions that permit broader workflows and paid execution based on server defaults. This creates an actionable authorization ambiguity: an agent can follow the generic workflow instead of the fixed entry's mandatory quotation and explicit confirmation.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
97% confidence
Finding

The competitor workflow presents binding a competitor as a step toward comparison while stating that binding enables weekly automatic collection. Unlike the explicit watch workflow, this step does not require separate disclosure and approval of recurring collection costs, so consent to a one-time comparison could be stretched into ongoing activity.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
92% confidence
Finding

The supplied commands concern watch-service status, costs, and existing watches rather than image-information planning. These are undeclared capabilities with no demonstrated supporting role in the stated workflow. The snippet does not show creation or activation of watches, image generation, advertising, or publishing.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
88% confidence
Finding

The supplied commands expose watch-monitoring functionality rather than image-information planning. Nothing in the chunk connects the watch data to Amazon product details, reviews, or image messaging, so this is an apparent undeclared capability. The underlying script is not supplied, limiting conclusions about its internal behavior. There is no evidence here of image generation, advertising, or automatic publishing.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
86% confidence
Finding

The supplied command requests a category leaderboard and does not show product-detail analysis or image-information planning. Although review analytics could support the declared purpose, no such connection is demonstrated here. The ARI integration itself is consistent with the description. The implementation of scripts/ari.py is not supplied, so additional behavior or side effects cannot be established.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
85% confidence
Finding

The visible commands concern a watch feature and its pricing/listing operations, which are not described as part of the declared image-planning workflow. No connection to Amazon product details, reviews, or image-information planning is shown. The underlying script is not supplied, so the assessment is limited to these command invocations and their annotation; it does not establish automatic monitoring, image generation, advertising, or publishing.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
81% confidence
Finding

The supplied command targets alerts rather than the declared image-information planning workflow, and no supporting relationship is shown. This indicates a capability mismatch, although the missing script implementation prevents determining whether the command lists, configures, or sends alerts.

Content

No source excerpt is available for this finding.

The default paid VOC workflow contradicts the fixed entry's mandatory quote-and-confirm requirement.

High
Category
Excessive Agency
Confidence
99% confidence
Finding

The standard workflow explicitly instructs the agent to invoke a potentially charging VOC command before obtaining a quote or confirmation. This conflicts with the specialized entry's mandatory quote-and-confirm rule and can spend account credits before the user approves the cost.

Content

No source excerpt is available for this finding.

Paid analysis and collection can execute without the explicitly required --confirm flag.

High
Category
Excessive Agency
Confidence
99% confidence
Finding

run_analysis changes confirm from false to true when the quote response supplies a truthy autoConfirm value, allowing a nominal quote-only invocation to spend credits. cmd_voc similarly allows collection and analysis without --confirm, contradicting the explicit-confirmation contract; deepdive also inherits the analysis bypass. This creates unexpected financial side effects in an image-planning skill, although command reachability depends on the unavailable skill-defaults.json allowlist.

Content

No source excerpt is available for this finding.

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

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.

Content

Scanner excerpt · CHANGELOG.md (reported line 23)May include surrounding context.

md
- 重新发布:各市场首批上架的 1.5.0 包早于免确认修复,新注册的免费版用户仍会被要求先确认报价。
  1.5.1 与当前官网下发的修复版一致,市场侧以新版本号覆盖旧包。
- 免确认只认服务端报价返回的 `autoConfirm`;采集报价扣除首次采集免费页;
  非美国站首次采集可用赠送积点时不再提示「赠送积点不可用」(行为与修复后的 1.5.0 相同)。
- 命令、字段与计费规则不变,不提高最低支持版本。

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

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.

Content

Scanner excerpt · CHANGELOG.md (reported line 32)May include surrounding context.

md
- 行为变更:新用户(注册并验证邮箱后)第一次要 VOC,只给 ASIN 即可(站点默认美国站),
  `voc` 直接执行——自动补采集(默认 3 页)、生成报告、按服务端定价扣费并归档,
  不再停在报价等确认。费用在报告返回的 `charges` 字段透明展示(采集/分析/合计/余额前后)。
- 免确认与否**只认服务端报价返回的 `autoConfirm` 布尔**:服务端策略前 N 次付费生成不看金额上限
  (新用户赠送积点按设计覆盖「3 页采集 + 一份 VOC」);用户自设阈值优先、显式要求「每次先问」
  时仍先报价;余额不足不自动。客户端不再从 `autoConfirmNote` 文案或 `autoConfirmRemaining`
  自行推断——文案匹配会把 Free 小额提示里的「先确认」误判成用户要求每次询问,恰好挡住新用户。

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

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.

Content

Scanner excerpt · CHANGELOG.md (reported line 34)May include surrounding context.

md
不再停在报价等确认。费用在报告返回的 `charges` 字段透明展示(采集/分析/合计/余额前后)。
- 免确认与否**只认服务端报价返回的 `autoConfirm` 布尔**:服务端策略前 N 次付费生成不看金额上限
  (新用户赠送积点按设计覆盖「3 页采集 + 一份 VOC」);用户自设阈值优先、显式要求「每次先问」
  时仍先报价;余额不足不自动。客户端不再从 `autoConfirmNote` 文案或 `autoConfirmRemaining`
  自行推断——文案匹配会把 Free 小额提示里的「先确认」误判成用户要求每次询问,恰好挡住新用户。
- 采集报价同口径扣除服务端 `trialFreePages`(首次采集试用免费页),避免新用户被误报「积点不足」。
- 非美国站:服务端 `credits.gift` 策略下用户首次采集不限站点,`credits/balance` 返回 `giftAllSites`,

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

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.

Content

Scanner excerpt · CHANGELOG.md (reported line 34)May include surrounding context.

md
不再停在报价等确认。费用在报告返回的 `charges` 字段透明展示(采集/分析/合计/余额前后)。
- 免确认与否**只认服务端报价返回的 `autoConfirm` 布尔**:服务端策略前 N 次付费生成不看金额上限
  (新用户赠送积点按设计覆盖「3 页采集 + 一份 VOC」);用户自设阈值优先、显式要求「每次先问」
  时仍先报价;余额不足不自动。客户端不再从 `autoConfirmNote` 文案或 `autoConfirmRemaining`
  自行推断——文案匹配会把 Free 小额提示里的「先确认」误判成用户要求每次询问,恰好挡住新用户。
- 采集报价同口径扣除服务端 `trialFreePages`(首次采集试用免费页),避免新用户被误报「积点不足」。
- 非美国站:服务端 `credits.gift` 策略下用户首次采集不限站点,`credits/balance` 返回 `giftAllSites`,

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

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.

Content

Scanner excerpt · CHANGELOG.md (reported line 41)May include surrounding context.

md
为 true 时赠送积点计入 `nonUsCollectCredits`、`siteNote` 为空;UK/DE/JP 卖家的第一份 VOC 同样一步直出。
- 余额不足仍在执行前拦截(402)并引导充值;定价以服务端配置为准,代码常量仅为兜底。
- 一致性:`analyze` 各类型(insight / keywords / trend / variant / compare)走同一口径,
  `autoConfirm=true` 即直接生成并返回 `charges`。
- 文档:移除所有写死的单价与合计示例。采集/分析单价与页数由后台 `pricing` 配置决定,
  一律以本次报价返回的 `credits` / `totalCredits` 为准,不得凭文档或记忆报数。

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

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.

Content

Scanner excerpt · CHANGELOG.md (reported line 77)May include surrounding context.

md
- 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 declares no tool scope ('permissions' or 'allowed-tools') but code capabilities were detected: env, file_write, network, shell.

Medium
Category
MCP Least Privilege
Confidence
70% confidence
Finding

Without declared permissions the skill's intent is opaque and cannot be validated.

Content

No source excerpt is available for this finding.

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
97% confidence
Finding

The workflow treats server-provided auto-confirm eligibility, including default first-run allowances without an amount limit, as permission to spend credits. A deliberate user-configured spending threshold could be valid authorization, but these defaults do not satisfy this skill's explicit-confirmation requirement.

Content

Scanner excerpt · SKILL.md (reported line 57)May include surrounding context.

md
`voc <ASIN>`(没说站点就用默认的美国站,不要为此追问)。
  命中服务端免确认规则(新用户首次体验不看金额 / 账户剩余免确认次数 / 用户自设阈值)且余额充足时,
  **直接完成采集 + 生成 + 扣点并归档**,不再停在报价环节。绝不能描述成“先帮你问个价 / 只报价不扣点”。
  免确认与否以返回里的 `autoConfirm` 为准,不要自己从提示文案里猜。
- 直接生成成功后,返回结果带 `charges`(采集扣点、分析扣点、合计、扣前/扣后余额)与 `autoConfirmNote`。
  **先讲报告,再用一句话转述实际扣点**,不要在拿到结果后再补问「要不要生成」,也不要回头补一次报价。
- 只有在返回 `confirmationRequired: true` 时(余额不足、或用户自行设置了“每次先问”)

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
97% confidence
Finding

Using autoConfirm as the deciding authorization signal delegates the consent decision to service-side defaults that may permit unbounded first-run charges. This duplicates the adjacent billing-consent defect rather than establishing an additional independent exploit.

Content

Scanner excerpt · SKILL.md (reported line 58)May include surrounding context.

md
命中服务端免确认规则(新用户首次体验不看金额 / 账户剩余免确认次数 / 用户自设阈值)且余额充足时,
  **直接完成采集 + 生成 + 扣点并归档**,不再停在报价环节。绝不能描述成“先帮你问个价 / 只报价不扣点”。
  免确认与否以返回里的 `autoConfirm` 为准,不要自己从提示文案里猜。
- 直接生成成功后,返回结果带 `charges`(采集扣点、分析扣点、合计、扣前/扣后余额)与 `autoConfirmNote`。
  **先讲报告,再用一句话转述实际扣点**,不要在拿到结果后再补问「要不要生成」,也不要回头补一次报价。
- 只有在返回 `confirmationRequired: true` 时(余额不足、或用户自行设置了“每次先问”)
  才报出 `totalCredits` 与余额并等待同意,同意后追加 `--confirm`。

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
99% confidence
Finding

The instruction to generate the report first and discuss charges afterward removes the user's opportunity to approve the transaction. Detecting that a report was already generated is useful for avoiding duplicate execution, but it cannot replace authorization before the original charge.

Content

Scanner excerpt · SKILL.md (reported line 113)May include surrounding context.

md
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>`,**不要再先跑一次报价**。
   **返回里有 `autoConfirmed: true`(或直接带 `reportId` / 正文)就说明报告已经生成并扣点了**
   (1.5.0:新用户首次体验直接出结果,用户先拿到报告再谈钱)。
   此时把报告讲给用户,并转述 `charges` — 本次采集扣了多少、分析扣了多少、合计多少、扣后还剩多少。
   **不要在拿到结果后再补问「要不要生成」,也不要再回头补一次报价。**

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
98% confidence
Finding

The instruction to generate automatically when autoConfirm is true explicitly includes new-user paid generations with no amount cap. That policy bypasses the specialized entry's explicit approval gate and can consume credits without informed acceptance of the current cost.

Content

Scanner excerpt · SKILL.md (reported line 175)May include surrounding context.

md
- **价格一律以服务端本次报价为准**(`analysis/quote` 与 `collect` 报价返回的 `credits` /
  `totalCredits`)。文档与示例里出现的任何单价、页数、合计都只是演示,后台可调,
  **不要凭记忆或旧文档报数,也不要把示例价当成承诺价。**
- 报价返回 `autoConfirm: true` 时直接生成,不要再问「要不要」。
  生成后一句话交代本次实际扣了多少、扣后余额(读 `charges` 字段)。
  1.5.0 起服务端对新用户前几次付费生成不看金额上限:新用户验证邮箱后只给一个 ASIN,就一次性出报告。
- 用户说「以后别问了 / 50 以内直接做」→ 运行 `autoconfirm 50`;说「以后每次先问我」→ `autoconfirm off`;

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% confidence
Finding

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.

Content

Scanner excerpt · SKILL.md (reported line 178)May include surrounding context.

md
- 报价返回 `autoConfirm: true` 时直接生成,不要再问「要不要」。
  生成后一句话交代本次实际扣了多少、扣后余额(读 `charges` 字段)。
  1.5.0 起服务端对新用户前几次付费生成不看金额上限:新用户验证邮箱后只给一个 ASIN,就一次性出报告。
- 用户说「以后别问了 / 50 以内直接做」→ 运行 `autoconfirm 50`;说「以后每次先问我」→ `autoconfirm off`;
  说「恢复默认」→ `autoconfirm default`。这是唯一需要你代用户设置的东西,设完复述一句当前规则。
- 报价需要确认时,只说两个数:这次多少积点(取报价返回的 `credits` / `totalCredits`,
   **不要自己算、不要写死单价**)、余额多少,然后等用户一个「好」。单价与页数由后台配置决定,