antinet-doc-parse
Pass
Audited by Gen Agent Trust Hub on Aug 18, 2026
Risk Level: SAFECOMMAND_EXECUTIONDATA_EXFILTRATION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted document content (PDF, PPT, Excel, Word) and outputs it as structured Markdown to be used by downstream agents. If the downstream agent treats this parsed data as instructions, it is vulnerable to indirect prompt injection.
- Ingestion points: Processes files via the
file_pathparameter inSKILL.mdandscripts/run_doc_parse.py. - Boundary markers: None explicitly defined in the skill instructions to separate document content from agent instructions.
- Capability inventory: The skill possesses file system read and write capabilities (writing to
examples/snse_survey/skill_outputs/doc_parse.json). - Sanitization: The skill relies on an external
security-scanmentioned in the documentation, but does not implement internal sanitization of the parsed Markdown text. - [COMMAND_EXECUTION]: The script
scripts/run_doc_parse.pydynamically modifies the Python search path usingsys.path.insertto include thecoredirectory relative to its location. This is a common pattern for local project imports but ensures that code in thecoredirectory is executed whenAgentSessionis imported. - [DATA_EXFILTRATION]: The skill reads data from local paths and writes the parsed output to a JSON file in the
examples/snse_survey/skill_outputs/directory. While this is the intended purpose, it represents a local data movement pattern.
Audit Metadata