Dev Hooks
Hooks and skills that force AI coding agents to verify their work instead of pattern-matching their way to 'done'
Technologies
The default failure mode of AI coding agents is declaring victory: “this should work now” after a change that was never run. Dev Hooks is a collection of Claude Code hooks and skills that counteract that, built from patterns I kept reapplying across projects.
Highlights:
- but-for-real — intercepts premature success claims and demands the agent actually run, test, and inspect before saying something works.
- board — assembles a panel of adversarial expert critics to poke holes in a plan, draft, or pitch, as an antidote to agreeable-by-default responses.
- premortem — before executing a risky plan, asks “it’s six months later and this failed — why?”.
- humanizer — strips the tell-tale signs of AI-generated writing from text, based on Wikipedia’s signs-of-AI-writing guide.
- code-simplifier, readability, self-rate — quality passes for code and prose.
The shared thesis with my other agent tooling: agents become genuinely useful when scepticism and verification are built into the workflow itself, not left to the human reviewing the output.