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Security audit

Amazon 五点描述优化

Security checks for vulnerabilities and agentic risk

Overview

This bullet-point helper also exposes paid analysis and recurring monitoring, with conflicting safeguards that can allow spending without fresh approval.

Prefer a corrected package that enforces bullet-only commands and explicit spending approval. This build's previews can trigger paid analysis, and its broader workflows can enable recurring charges. For free pricing, use the dedicated quote command; do not assume omitting --confirm makes deepdive, analyze, or voc free.

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 (1)

T09 · Insecure Skill Coding Practices

Warning
Location
scripts/ari.py
Finding

Deepdive's quote-only fallback can execute paid analysis

Content
View full analysis

Impact

A preview or explicitly downgraded quote-only operation can generate and archive a paid VOC report and consume account credits. The missing-product branch can additionally tell the caller that analysis was downgraded and no credits were charged.

Vulnerability Patterns
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • 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
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
Findings (87)

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
99% confidence
Finding

The document actively directs general analysis, monitoring, account-setting changes, and potentially automatic spending despite advertising a narrowly scoped bullet-diagnosis service. Its final fixed-entry restriction mitigates this but conflicts with earlier executable workflows, leaving an agent without a consistent authorization boundary.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
98% confidence
Finding

Creating competitor watches and accepting recurring prices expands the skill beyond its advertised diagnostic authority. The documented quote, ownership, and explicit-consent checks mitigate exploitation, but these capabilities should not be reachable from the fixed bullet-only entry point.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
98% confidence
Finding

Persistent paid monitoring is an account-changing capability outside the declared diagnostic scope. Explicit price and consent requirements substantially reduce unauthorized-charge risk, but these workflows still contradict the package's fixed-entry restriction.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
97% confidence
Finding

Review-schedule management creates persistent effects outside a one-time bullet-diagnosis request. The document requires recurring-collection authorization and a manual fallback, reducing financial risk, but its contradictory scope instructions still expose unnecessary account mutations.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
97% confidence
Finding

The competitor workflow states that binding a competitor starts weekly collection without attaching a dedicated recurring-cost confirmation step to that action. This can turn a one-time comparison request into persistent collection; general schedule-consent language mitigates but does not resolve the ambiguous instruction.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
97% confidence
Finding

This duplicates the out-of-scope persistent-monitoring concern: the skill exposes ongoing paid mutations beyond bullet diagnosis. Mandatory price confirmation is a meaningful safeguard, so the text does not establish that watch charges can bypass consent.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
95% confidence
Finding

The supplied command requests a category leaderboard, a materially different operation from the narrowly declared five-point diagnostic purpose. It does not identify a product or provide bullet-description content for evaluation. The implementation of ari.py is not supplied, so additional effects of the command or --confirm flag cannot be established.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
92% confidence
Finding

The supplied commands expose watch-management information rather than analyzing product bullet points or review evidence. These are distinct capabilities not disclosed in the declared diagnostic-only purpose. The chunk does not show enabling watches, publishing content, or modifying settings.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
91% confidence
Finding

The demonstrated operations concern watch-service management and pricing, neither of which is disclosed in the narrowly scoped bullet-point diagnosis description. The chunk does not show product-detail or review analysis. Because the underlying Python implementation is absent, this assessment is limited to the commands and their accompanying description; it does not establish additional data access or side effects.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
88% confidence
Finding

The visible operations focus on watch digests, events, and time-series data rather than analysis of Amazon bullet points. The description does not disclose this monitoring/reporting capability, and the chunk does not establish that these commands support the declared diagnostic task. The CLI implementation is not provided, so no additional behavior, such as creating watches or publishing content, can be inferred.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

High
Category
MCP Tool Poisoning
Confidence
77% confidence
Finding

The visible command selects an alerts operation rather than an identifiable product-detail, review-analysis, or bullet-point diagnosis operation. This indicates an apparent purpose mismatch. Confidence is limited because the implementation of scripts/ari.py alerts is not supplied; notification delivery, monitoring, API access, and other side effects cannot be established from this command alone.

Content

No source excerpt is available for this finding.

Treats an unanswered quotation as permission to generate a potentially paid report in a later conversation.

High
Category
Prompt Injection
Confidence
99% confidence
Finding

The instruction explicitly resumes an unanswered quotation in a later conversation and generates a report when server auto-confirmation permits. Silence is not authorization, and a server default does not establish current user intent or approval of the expenditure.

Content

No source excerpt is available for this finding.

Paid analysis can execute without the explicit --confirm required by the module documentation.

High
Category
Excessive Agency
Confidence
100% confidence
Finding

run_analysis changes an absent confirmation into authorization when the server returns a truthy autoConfirm value, allowing chargeable analysis without --confirm. This contradicts the documented explicit-confirmation contract and also affects callers such as deepdive that expect confirm=false to mean quotation only; exposure depends on the packaged command 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
96% confidence
Finding

The auto-confirmation rules permit credit deductions based on first-use or remaining-exemption policies, including cases without an amount limit. Explicit user-configured spending thresholds can be legitimate, but these service defaults are not equivalent to informed spending authorization and conflict with this skill's mandatory-confirmation rule.

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
96% confidence
Finding

The workflow treats the server's autoConfirm flag as sufficient authority to spend, even when it comes from a default introductory policy rather than user consent. Reporting charges afterward provides transparency but cannot replace authorization before the charge.

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
97% confidence
Finding

The standard workflow directs an execution-capable VOC call before quotation and expressly postpones discussing money until after generation. Because introductory auto-confirmation can deduct credits without a user-set ceiling, this creates a concrete pre-authorization spending risk.

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。**

The workflow directs advertising keyword analysis despite the manifest limiting the skill to bullet-point diagnosis and advice.

Medium
Category
Excessive Agency
Confidence
99% confidence
Finding

The instructions explicitly direct advertising-keyword analysis even though the declared purpose excludes advertising and the final entry point permits only listing/bullets. Quotation and confirmation reduce spending risk, but the conflicting directives undermine reliable enforcement of the user's selected scope.

Content

No source excerpt is available for this finding.

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
97% confidence
Finding

The instruction requires immediate generation when autoConfirm is true and explicitly says introductory paid generations have no amount ceiling. This conflates a service billing policy with user authorization, although execution within a genuinely user-approved budget would be legitimate.

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`;