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Security audit

Amazon Launch Playbook

Security checks for vulnerabilities and agentic risk

Overview

This skill is a disclosed Amazon launch planning guide with a local scoring script and no evidence of hidden access, persistence, exfiltration, or unsafe automation.

Before installing, treat the business recommendations as planning templates, verify current Amazon policies and ad limits yourself, and note that the skill is primarily written for Chinese-speaking Amazon sellers.

Vulnerability Patterns
  • 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
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs
Vulnerability Patterns
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (7)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

The README presents the skill content and usage instructions exclusively in Chinese, which effectively forces a specific language for users without documenting any opt-in or alternative locale support. Under the policy, language constraints should either be optional or clearly justified as region-specific.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The entire skill is written in Chinese and presents all guidance exclusively in that language, with no indication that the user can choose another language or that the skill is intended only for a Chinese-speaking or region-specific audience. Under the policy, enforcing a specific language without opt-in is a natural-language policy violation.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

This code file includes natural-language descriptions and labels primarily in Chinese, and the CLI usage/help and generated reports are also presented in Chinese. There is no indication that users can select a language or that the locale restriction is intentionally limited to a Chinese-only audience, which creates a language/locale policy concern.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
81% confidence
Finding

The document is primarily written in Chinese, but the sample listing copy in this section is presented in English imperative form without stating that output language will be chosen based on user preference. This can create a language/locale policy issue because the skill appears to assume or force a specific language style rather than explicitly offering opt-in or choice.

Content

No source excerpt is available for this finding.

Vague Triggers

Low
Category
Not specified by scanner
Confidence
90% confidence
Finding

The manifest description says the skill is an "Amazon new product launch playbook" and a "90-day action plan," but it does not define when the skill should be invoked versus when it should not. For manifest files, this lack of trigger specificity can make activation boundaries ambiguous and increase the chance of unintended use.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
91% confidence
Finding

This file presents all skill content in a single language and does not indicate that the user can choose another language or opt in to Chinese-only output. Under the natural-language policy rules, forcing a specific language without user choice is a policy concern unless clearly documented as region-specific or justified.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
93% confidence
Finding

This markdown file contains user-facing natural language exclusively in Chinese from the title through the usage notes. Under the policy rule for language/locale, forcing a specific language without opt-in can be a policy violation when no alternative language choice or justification is provided.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.