research-paper-writing
Pass
Audited by Gen Agent Trust Hub on Sep 8, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADSMETADATA_POISONINGCOMMAND_EXECUTIONDYNAMIC_EXECUTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill exhibits an attack surface for indirect prompt injection through its literature review and analysis phases. This is a common design pattern for research agents but introduces risk if external data contains malicious instructions.
- Ingestion points: Untrusted data from research papers enters the agent context in
SKILL.md(Phase 1) via theweb_searchandweb_extracttools. - Boundary markers: The instructions do not define strict system-level delimiters or specific instructions to disregard potential commands embedded in academic text.
- Capability inventory: The agent has access to powerful tools such as
terminal,execute_code, anddelegate_task, which could be abused if an injection were successful. - Sanitization: There is no evidence of filtering or sanitization of external academic content before interpolation into prompts.
- [EXTERNAL_DOWNLOADS]: The skill references and downloads resources from well-known and trusted organizations.
- A
Makefileintemplates/neurips2025/usescurlto fetch style files from the official NeurIPS domain (media.neurips.cc). - The skill recommends the installation of the well-known
SciencePlotsPython package for visualization. - Reference documents in the
templates/directory link to official ACL GitHub repositories and Overleaf projects. - [METADATA_POISONING]: A discrepancy exists between the author listed in the YAML frontmatter of
SKILL.md("Orchestra Research") and the provided author context ("hurtzdonut559"). This appears to be a documentation artifact from the skill's development history rather than a deceptive attempt. - [COMMAND_EXECUTION]: The skill frequently instructs the agent to execute shell commands using the
terminalandprocesstools for tasks such as LaTeX compilation, Git version control, and running experiment scripts. - [DYNAMIC_EXECUTION]: The skill methodology (specifically the
autoreasonloop) utilizesexecute_codeanddelegate_taskto dynamically analyze experiment results and generate parallel paper sections.
Audit Metadata