paperclip

Fail

Audited by Gen Agent Trust Hub on Sep 15, 2026

Risk Level: HIGHREMOTE_CODE_EXECUTIONINDIRECT_PROMPT_INJECTIONPERSISTENCECOMMAND_EXECUTION
Full Analysis
  • [REMOTE_CODE_EXECUTION]: The installation instructions in SKILL.md suggest using curl -sL https://skills.sh/paperclip | bash. This pattern downloads and executes code from an external server directly in the user's shell, which bypasses manual inspection and poses a significant security risk if the remote source is compromised.
  • [INDIRECT_PROMPT_INJECTION]: The skill ingests data from the Paperclip API, such as issue identifiers, titles, and descriptions, which are then presented to the agent.
  • Ingestion points: scripts/issues.sh, scripts/status.sh, and scripts/comment.sh fetch data from API endpoints.
  • Boundary markers: None; API data is formatted as plain text and displayed to the agent without delimiters or instructions to ignore embedded content.
  • Capability inventory: The skill can execute CLI tools, perform network requests via curl, and potentially write to the filesystem through standard shell redirection.
  • Sanitization: While scripts use python3 -c to safely parse JSON structures, they do not filter or sanitize the content of the data fields for potentially malicious instructions.
  • [PERSISTENCE]: The documentation in SKILL.md recommends that users add their PAPERCLIP_API_KEY and PAPERCLIP_COMPANY_ID to shell configuration files (~/.zshrc or ~/.bashrc). This practice ensures the credentials persist across sessions but stores sensitive authentication tokens in plain text.
  • [COMMAND_EXECUTION]: The provided bash scripts (scripts/comment.sh, scripts/issues.sh, and scripts/status.sh) execute Python code at runtime using python3 -c. While these instances specifically use environment variables to safely handle data, the pattern involves dynamic execution of code blocks to process API responses.
Recommendations
  • HIGH: Downloads and executes remote code from: https://skills.sh/paperclip - DO NOT USE without thorough review
  • AI detected serious security threats
Audit Metadata
Risk Level
HIGH
Analyzed
Sep 15, 2026, 04:47 PM