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Security audit

AI Market Intelligence Agent

Security checks for vulnerabilities and agentic risk

Overview

This market-intelligence skill is purpose-aligned and mainly writes local reports, with only minor documentation gaps around external services and language expectations.

Before installing, confirm whether you are comfortable configuring third-party data providers and report destinations, keep any API keys out of source control, and verify recipients before enabling email or channel delivery. Expect the current bundled script to generate placeholder local reports rather than perform real market collection.

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
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (6)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The README content and usage guidance are presented in Chinese, which effectively forces a specific language for users reading the skill documentation. There is no indication that the skill is region-specific, nor any opt-in or alternative language support.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
81% confidence
Finding

The skill's descriptive and instructional content is presented in Chinese, but the file does not indicate that this locale is optional, user-selected, or required for a justified region-specific purpose. This can violate language/locale policy when a skill implicitly forces one language without opt-in.

Content

No source excerpt is available for this finding.

Missing User Warnings

Low
Category
Not specified by scanner
Confidence
84% confidence
Finding

This markdown file states that the skill automatically collects, aggregates, analyzes, and reports market information from multiple platforms, which implies external data-source access. The description does not provide any user-facing warning that queries or related data may be sent to third-party services or APIs.

Content

No source excerpt is available for this finding.

Missing User Warnings

Low
Category
Not specified by scanner
Confidence
88% confidence
Finding

The configuration example includes an api_key for a data source, indicating the skill uses external services and potentially sensitive credentials. The markdown does not include any caution about storing API keys securely, avoiding committing them to source control, or understanding that external providers will be contacted.

Content

No source excerpt is available for this finding.

Missing User Warnings

Low
Category
Not specified by scanner
Confidence
90% confidence
Finding

The markdown states that output can be sent to a specified channel or email, which may disclose collected market data or user-selected monitoring targets to external destinations. The description does not include any warning about external transmission, privacy implications, or the need to verify recipients.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
86% confidence
Finding

The package description includes both English and Chinese text, which can impose a locale/language expectation without any stated user opt-in or alternative. Under the policy for natural-language violations, language constraints should be optional or clearly justified.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.