SoK: Agentic Skills
A systematization of reusable skills beyond tool use in LLM agents.
PhD Researcher · Casual Academic · UTS CybeR Lab
I study machine unlearning, agentic AI security, privacy-aware inference, and auditable model updates, with a focus on how adaptive AI systems can change without compromising trust.
Recent publications, open-source releases, and research milestones.
A systematization of reusable skills beyond tool use in LLM agents.
A four-skill Codex bundle for policy, writing, figures and tables, and review.
A hash-chain-backed framework for compliance-aware LLM update auditing.
I examine how AI systems can be updated, deployed, and evaluated under real-world security, privacy, and governance constraints.
Research perspective
AI systems should be able to change without becoming harder to trust.
My work brings together machine unlearning, privacy-aware inference, agentic security, and auditable model updates. I develop methods and evaluations that make system changes easier to inspect, explain, and govern.
Develop model adaptation and unlearning methods whose effects can be traced and evaluated.
Design federated and edge-cloud inference methods for practical privacy and deployment constraints.
Assess system behavior through security analysis, empirical evaluation, and audit evidence.
Selected work on machine unlearning, agentic AI security, privacy-aware inference, and auditable model updates.
A systematization of agentic skills across their lifecycle, with taxonomies for packaging, representation, execution, evaluation, and governance risk.
A survey of adapter-centric machine unlearning for LLMs, organizing methods through a unified adapter-space taxonomy and evaluation view.
Open-source tools and reusable resources for research, academic writing, and evaluation.
Codex skill bundle
A coordinated bundle of four Codex skills for policy-aware writing, manuscript rule auditing, publication-ready figures and tables, and pre-submission review.
A reusable skill for turning paper PDFs, preprint pages, or source workspaces into readable static research visualizations.
Research and collaboration
I welcome conversations and collaborations on machine unlearning, agentic AI security, privacy-aware inference, and auditable AI.