research-codebase
Pass
Audited by Gen Agent Trust Hub on Sep 16, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONDYNAMIC_EXECUTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process untrusted data from the local codebase and external sources, presenting a vulnerability surface for indirect prompt injection.\n
- Ingestion points: The skill reads arbitrary codebase files in
SKILL.md(Step 1) andcodebase-analyzer.md(Step 1). Theexternal-research.mdsub-agent further retrieves data from external URLs.\n - Boundary markers: There are no explicit delimiters or specific instructions for the agent to ignore or isolate instructions that may be embedded within the files it reads.\n
- Capability inventory: The skill has access to tools for shell execution (
Bash), file modification (Write), and integration with task management (linearis).\n - Sanitization: The skill lacks automated sanitization or filtering of external content before it is processed by the AI agents or written to documentation.\n- [EXTERNAL_DOWNLOADS]: The skill performs various network operations to fulfill its research and synchronization duties.\n
- The
external-research.mdsub-agent uses theWebFetchandWebSearchtools to access arbitrary external resources.\n SKILL.mdinvokeshumanlayer thoughts syncandthoughts-pull-syncto fetch and update peer documentation state from a remote repository.\n- [COMMAND_EXECUTION]: The skill utilizes theBashtool for host system interaction and metadata collection.\n- It executes
gitcommands (rev-parse,branch) and proprietary CLI tools such ascatalyst-sessionandlinearisfor project tracking.\n- [DYNAMIC_EXECUTION]: The skill dynamically spawns specialized sub-agents (codebase-locator,codebase-analyzer, etc.) by loading instructions from a set of provided markdown files within the skill's assets directory.
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