dsh-token-rtk
September 1, 2026 · View on GitHub
Input redundancy pruning — drop repeated/redundant tokens before they reach the model. — a DeepSeek Harness (dsh) skill, layer rtk of a four-layer token-saving family.
Trim verbose logs, duplicated warnings, whole-file pastes, and noise around the real signal so you pay for the signal you need, not the boilerplate around it. (RTK = Rust Token Killer strategy.)
Family: dsh-token-skills groups all four layers — handoff, rtk, headroom, caveman.
Install
dsh plugin --profile web add dsh-token-rtk
Then invoke the skill: dsh-token-rtk.
Upstream
Based on / referencing https://mintlify.wiki/rtk-ai/rtk/faq. This repo is the DSH adaptation — a thin skill, not a re-implementation of the engine.
License
MIT