GitHub Security Lab built an open-source AI security agent called the Taskflow Agent to automate, package, and share the LLM prompts and stepwise workflows that improve vulnerability hunting. The core argument is that customized taskflows - breaking auditing into incremental steps and steering the model toward specific classes of issues - lets LLMs find complex or easily-missed vulnerabilities faster. For Android, the team created targeted taskflows that separate mobile entry points from non-mobile code and that instruct the model to evaluate common mobile vulnerability classes, helping the agent focus on the correct attack surface and reasoning patterns.
Using these Android-focused taskflows against real apps produced dozens of findings (24 Android vulnerabilities reported), including several high-impact bugs and advisories now disclosed. The taskflows are available in the seclab-taskflows repo and can be run in a Codespace; a Copilot license and premium model requests are required, and runs can take one to two hours and consume many tokens. To audit a repo, execute ./scripts/audit/run_mobile.sh myorg/myrepo and inspect the audit_results table in the generated SQLite file for rows flagged as vulnerable.
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