deep-research
Warn
Audited by Gen Agent Trust Hub on Sep 5, 2026
Risk Level: MEDIUMEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONDYNAMIC_EXECUTIONINDIRECT_PROMPT_INJECTIONCREDENTIALS_UNSAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill performs runtime installation of Python libraries
pypdfandpython-docxviapip installto handle local file formats, as documented in the research flow instructions. - [EXTERNAL_DOWNLOADS]: The
update.mdcommand utility triggers agit pullfrom the remote repositoryhttps://github.com/hoolulu/deep-researchto update the skill's source code without manual verification. - [COMMAND_EXECUTION]: The skill makes extensive use of system shell commands (
bash,rm,git,pip,python) for environment setup, file operations, and execution of internal utility scripts across the lifecycle of report generation. - [DYNAMIC_EXECUTION]: The script
tools/dr_tools.pyutilizes__import__for dynamic module loading of internal components likedr_check, which can be an obfuscation or evasion technique if misused. - [INDIRECT_PROMPT_INJECTION]: The skill ingests untrusted data from the web using search engines and scrapers (Scrapling). This content is then processed by LLM agents to generate reports, creating a potential attack surface for indirect prompt injection if malicious instructions are embedded in the scraped data. The skill lacks explicit sanitization or high-robustness boundary markers for this external content.
- [CREDENTIALS_UNSAFE]: The
tools/generate_pages.pyscript accesses theGITHUB_TOKENenvironment variable to authenticate requests to the GitHub API, handling sensitive credentials within the skill's execution environment.
Audit Metadata