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.mdsuggest usingcurl -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, andscripts/comment.shfetch 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 -cto 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.mdrecommends that users add theirPAPERCLIP_API_KEYandPAPERCLIP_COMPANY_IDto shell configuration files (~/.zshrcor~/.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, andscripts/status.sh) execute Python code at runtime usingpython3 -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