abstract-summarizer
Pass
Audited by Gen Agent Trust Hub on Sep 23, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDATA_EXFILTRATIONCOMMAND_EXECUTIONMETADATA_POISONING
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted external academic papers, which could contain malicious instructions designed to subvert agent behavior.
- Ingestion points: Data is ingested via
scripts/main.pyusing the--input,--text, and--urlcommand-line arguments. - Boundary markers: The script does not implement delimiters or instructions for the agent to ignore directives embedded within the research paper content.
- Capability inventory: The script has the capability to read local files, execute network GET requests, and write output to the file system.
- Sanitization: No validation or sanitization of the input text is performed before it is processed by regular expressions and scored.
- [DATA_EXFILTRATION]: The
scripts/main.pyimplementation uses therequestslibrary to perform network GET operations for fetching paper content from external, non-whitelisted URLs. - [COMMAND_EXECUTION]: The skill workflow requires the execution of the Python script
scripts/main.py, which handles sensitive operations like file system access and network communications. - [METADATA_POISONING]: The repository includes a file
abstract-summarizer_audit_result_v2.jsonthat contains extensive, unverified claims regarding the skill's safety and effectiveness. These claims are treated as deceptive metadata and are disregarded in the final safety evaluation.
Audit Metadata