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Security audit

GitHub Digest

Security checks for vulnerabilities and agentic risk

Overview

This skill is a focused GitHub digest helper that reads repository activity through the authenticated GitHub CLI and formats a report; no hidden persistence, mutation, or exfiltration behavior was found.

Before installing, users should be comfortable letting the agent use their authenticated GitHub CLI to read repository releases, pull requests, and issues for the repos they request. Private repo details could appear in the generated digest, so use it only with repositories whose activity you intend to summarize.

A.I.G

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

SkillSpector

Vulnerability Patterns
  • 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
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (1)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The skill hard-codes Chinese section headings and formatting examples while also claiming to detect the user's language, which creates conflicting instructions and can override user expectations or downstream consumers that require a different locale or schema. In an agent setting, forcing a language- or format-specific output can degrade reliability, cause prompt-injection-style instruction conflicts, and produce inaccessible or unusable summaries for users expecting another language.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.