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.py using the --input, --text, and --url command-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.py implementation uses the requests library 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.json that 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
Risk Level
SAFE
Analyzed
Sep 23, 2026, 04:46 PM