codegraph

Fail

Audited by Gen Agent Trust Hub on Oct 8, 2026

Risk Level: HIGHREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
  • [REMOTE_CODE_EXECUTION]: The skill prominently features instructions to download and execute shell scripts from an external GitHub repository belonging to an individual user, which is a significant security risk for arbitrary code execution.
  • Evidence: curl -fsSL https://raw.githubusercontent.com/colbymchenry/codegraph/main/install.sh | sh found in SKILL.md and references/installation.md.
  • Evidence: irm https://raw.githubusercontent.com/colbymchenry/codegraph/main/install.ps1 | iex found in references/installation.md for Windows users.
  • [COMMAND_EXECUTION]: The skill requires the execution of several CLI commands that interact with the local file system and network to install and manage the underlying engine.
  • [INDIRECT_PROMPT_INJECTION]: The skill operates by ingesting and indexing local source code, which is then provided to the agent. This creates a vector where malicious instructions embedded in project files could influence the agent's behavior.
  • Ingestion points: Tools such as codegraph_explore, codegraph_search, and codegraph_node read contents of files in the current workspace.
  • Boundary markers: There are no explicit instructions for the agent to sanitize or ignore instructions embedded within the source code data it retrieves; conversely, the skill instructs the agent to "trust the returned results."
  • Capability inventory: The agent uses the retrieved code to explain architecture, analyze impacts, and guide coding tasks, allowing potentially malicious code comments or strings to hijack the conversation.
  • Sanitization: No sanitization of the source code content is performed before presenting it to the agent.
Recommendations
  • HIGH: Downloads and executes remote code from: https://raw.githubusercontent.com/colbymchenry/codegraph/main/install.sh - DO NOT USE without thorough review
  • AI detected serious security threats
Audit Metadata
Risk Level
HIGH
Analyzed
Oct 8, 2026, 04:40 AM