skills/nashsu/autocli-skill/autocli/Gen Agent Trust Hub

autocli

Fail

Audited by Gen Agent Trust Hub on Apr 5, 2026

Risk Level: HIGHREMOTE_CODE_EXECUTIONDATA_EXFILTRATIONCOMMAND_EXECUTIONPROMPT_INJECTION
Full Analysis
  • [REMOTE_CODE_EXECUTION]: The skill instructions recommend installing the core autocli binary by piping a remote script from GitHub directly into the shell.
  • Evidence: The command curl -fsSL https://raw.githubusercontent.com/nashsu/AutoCLI/main/scripts/install.sh | sh executes unverified code with user privileges.
  • [DATA_EXFILTRATION]: The skill is designed to access and retrieve sensitive personal information by leveraging the user's logged-in web sessions.
  • Evidence: Commands such as twitter bookmarks, weread highlights, and bilibili history allow the agent to read private user data.
  • [COMMAND_EXECUTION]: The skill grants the agent the ability to execute the autocli binary and provides passthrough access to powerful system utilities.
  • Evidence: The agent can run gh (GitHub CLI), docker, and kubectl commands through the tool.
  • [PROMPT_INJECTION]: The skill is highly vulnerable to indirect prompt injection due to its broad ingestion of untrusted web content.
  • Ingestion points: Data enters the context from social media, forums, and transcripts (SKILL.md).
  • Boundary markers: No markers or warnings to ignore embedded instructions are present.
  • Capability inventory: The agent has subprocess execution and file writing capabilities.
  • Sanitization: No sanitization or validation of the fetched web content is documented.
  • [COMMAND_EXECUTION]: The agent is instructed to dynamically generate and store YAML configuration files that define logic for scraping new websites.
  • Evidence: The agent is told to write new adapters to the ~/.autocli/adapters/ directory.
Recommendations
  • HIGH: Downloads and executes remote code from: https://raw.githubusercontent.com/nashsu/AutoCLI/main/scripts/install.sh - DO NOT USE without thorough review
  • AI detected serious security threats
Audit Metadata
Risk Level
HIGH
Analyzed
Apr 5, 2026, 07:14 AM