token diet
by Jeel Bhanderi
Reduce AI agent context bloat by pruning redundant instructions and sharpening vague rules without losing behavior.
Hi, I’m Jeel, a Computer Engineering student and MEAN stack developer. I build SKILL.md skills that fix the problems I hit while working with AI agents daily: Skill Trust Scanner: a pre-install security review of third-party skills, MCP configs and prompt packs, with an evidence-based install / install-with-changes / do-not-install verdict. Skill Trigger Tuner: diagnoses why a skill doesn’t fire and rewrites its description, backed by a generated test set of should-trigger and should-not-trigger prompts. Token Diet: slims down CLAUDE.md, AGENTS.md and system prompts with a before/after token estimate and a check that no protected rule is lost. Every skill states its limits up front: predictions are labeled as predictions, and a clean scan is never a guarantee. If a skill doesn’t work for you, tell me and I’ll fix it.