What problem does it solve? Agent context grows bloated over time as long skill descriptions, stale skills, and always-on memory consume tokens every turn, degrading performance and increasing cost. ## Core Features & Use Cases - Six Examinations: Audits always-on memory, skill description length (flagging 300+ character descriptions), stale skills, tool-schema footprint, confidential disclosure risks, and duplicate skill overlap. - Five Remediation Actions: Cuts redundant content, quarantines bad skills to ~/.hermes/quarantine/ (never hard-deletes), merges overlapping skills, moves heavy content into on-demand references/ files, and trims descriptions under the limit. - Use Case: When your Hermes agent's context feels bloated and responses slow down, run the context doctor to identify which skills and memory entries are wasting tokens and safely prune them. ## Quick Start Ask the agent to run the context doctor and clean up your skills to reduce token usage.