What problem does it solve? Research workflows accumulate friction when rules in AGENTS.md, hooks, or skills become outdated or counterproductive, but changing them ad hoc risks breaking protections that exist for good reasons. This Skill provides a single controlled path for modifying the harness itself, ensuring every change is diagnosed, risk-assessed, and explicitly approved before being applied. ## Core Features & Use Cases - Friction Collection: Gathers candidate changes from harness: lines in docs/tasks/BACKLOG.md plus friction observed in the current conversation. - Diagnosis and Minimal Revision: Identifies the rule or gap causing friction, reads the original rationale in AGENTS.md, and prefers deleting or simplifying rules over adding new ones. - Adversarial Risk Review: Dispatches adversarial reviewer agents to attack substantial proposals (routing-table rows, hook behaviors, new rules) before they are applied. - Dual Application: Applies approved changes both to the current project and to the research-harness template repository so future projects inherit them. - Use Case: A researcher notices a hook repeatedly blocking legitimate commits. They invoke /meta, which surfaces the friction, traces the hook's original rationale, proposes a simplification, gets adversarial review, and applies the change only after explicit approval. ## Quick Start Invoke /meta explicitly and ask it to review the harness friction items in the backlog and propose minimal revisions to AGENTS.md.