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Security audit

Github Trending Stable

Security checks for vulnerabilities and agentic risk

Overview

This skill fetches public GitHub Trending pages and formats the results, with no evidence of credential access, persistence, or unrelated local system changes.

Install this if you are comfortable with the skill making live requests to public GitHub Trending pages when invoked. Expect Chinese documentation/output conventions and Beijing-time timestamps; no credentials or local files appear to be needed.

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
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • 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 (3)

Undeclared Tool Scope

Medium
Category
MCP Least Privilege
Confidence
93% confidence
Finding

The skill instructs the agent to perform live HTTP scraping against GitHub Trending but does not declare any explicit tool scope or permissions boundaries. In an agent platform, missing network scope metadata can cause unintended or opaque outbound requests, reducing reviewability and making policy enforcement harder.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The natural-language content of the skill file is entirely in Chinese, including the description, usage guidance, and output explanations. This imposes a specific language/locale on users without documenting an opt-in or stating that the skill is intentionally limited to a Chinese-speaking audience.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
95% confidence
Finding

The HTTP request hard-codes the header "Accept-Language: en-US,en;q=0.9", which forces a specific language/locale preference regardless of the user's own locale. This is a natural-language policy concern because the skill does not offer any language choice or document a justified region-specific requirement.

Content

No source excerpt is available for this finding.