academic-paper

Pass

Audited by Gen Agent Trust Hub on Jun 16, 2026

Risk Level: SAFEPROMPT_INJECTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
  • [PROMPT_INJECTION]: The skill exhibits an indirect prompt injection surface due to its data ingestion capabilities.
  • Ingestion points: agents/revision_coach_agent.md ingests unstructured reviewer comments from email or PDF text; agents/visualization_agent.md ingests paper data and statistical results for plotting.
  • Boundary markers: Absent. The instructions do not define delimiters (like XML tags or triple quotes) or provide specific warnings to the agent to ignore instructions embedded within the ingested data.
  • Capability inventory: The skill generates runnable code (Python, R, LaTeX) and provides CLI commands for formatting tools like pandoc and tectonic in agents/formatter_agent.md.
  • Sanitization: Absent. There is no logic described to escape, filter, or validate the external content before it is interpolated into prompts or used to generate code.
  • [COMMAND_EXECUTION]: The skill provides instructions and specific command-line strings for the user to execute external document processing tools.
  • Evidence: agents/formatter_agent.md and SKILL.md specify the use of pandoc for format conversion and tectonic or xelatex for PDF compilation from LaTeX. These are well-known, standard tools in academic workflows.
  • [EXTERNAL_DOWNLOADS]: The skill references numerous external domains for data verification, search, and guidelines.
  • Evidence: References across files (e.g., references/apa7_chinese_citation_guide.md, references/funding_statement_guide.md) point to domains such as moe.edu.tw (Ministry of Education), nstc.gov.tw (National Science and Technology Council), law.moj.gov.tw (Ministry of Justice), and major academic publishers like elsevier.com and springer.com. These are established and trusted organizations within the higher education and government sectors relevant to the skill's purpose.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 16, 2026, 11:09 AM
Security Audit — agent-trust-hub — academic-paper