dsh-ponytail
DeepSeek Harness plugin: DietrichGebert/ponytail lazy senior mode & 7-rung ladder port, 6 skills with bilingual descriptions & per-skill toggles, zero tools, zero-cache-miss | DeepSeek Harness 插件:DietrichGebert/ponytail 懒人 senior 模式与七阶梯子完美移植,6 个技能描述双语自由切换,各个技能自由开关,零 tool 注册,全场景零缓存破坏
一句话定位
DeepSeek Harness plugin: DietrichGebert/ponytail lazy senior mode & 7-rung ladder port, 6 skills with bilingual descriptions & per-skill toggles, zero tools, zero-cache-miss | DeepSeek Harness 插件:DietrichGebert/ponytail 懒人 senior 模式与七阶梯子完美移植,6 个技能描述双语自由切换,各个技能…
安装方式
在 DSH 的 web profile 中执行下面的命令;装完刷新页面即可。
$ dsh plugin --profile web add @wenaixi/dsh-ponytail@5.6.2
兼容的 DSH 版本
>=0.2.0-rc.1 <=0.2.1
作者与热度
Wenaixi · ★ 40 · 更新于 2026-10-24
关于这个插件
dsh-ponytail
English | 简体中文
The best code is the code you never wrote.
A DeepSeek Harness (DSH) port of DietrichGebert/ponytail, maintained independently (ADR-0010). Injects the 7-rung ladder directly into system prompts, provides 6 specialized skills, and registers zero tools. What it is
A counter-weight to LLM boilerplate and over-engineering: deletion over addition, boring over clever, and fewest files possible. Challenge requirements before writing code (YAGNI), prioritize existing functions and standard libraries, and solve in one line when possible.
Features a Zero Cache Miss Architecture (ADR-0012): session baseline is locked permanently, and dynamic intensity switches take effect via turn-end reminders, leaving historical prompt / KV cache 100% untouched across long conversations. Ships as a pure dsh.bundle, writes zero garbage to your home root, uninstalls cleanly, and rebuilds itself through HMR. Install
Needs the DSH runtime (npm i -g @deepseek-ai/dsh). Node and pnpm floors are in the badges above. Examples use the web profile; substitute your own profile name.
Usage
Intensity levels reset on each new session according to env > Profile patch > fallback full. Therefore, /ponytail is session-scoped. To persist across restarts and new sessions, use /ponytail default . Zero Cache Miss Architecture
When switching intensity levels within an ongoing session or updating global default configurations, the top-level SystemPrompt baseline remains strictly byte-identical and static.
Mode transitions take effect dynamically by appending an incremental system notification ( ) at the end of the current turn's user message (aligned with the official dsh-tool-skill catalog update pattern, ADR-0012). This 100% protects historical KV Cache / Prompt Cache across all multi-turn conversation history, eliminating costly prefill recalculations and latency spikes. Skills Skill Bodies and Description Languages
Skill bodies are retrieved directly from upstream DietrichGebert/ponytail v4.10.3 in verbatim English. Two host-incompatible details are tailored for DSH: ponytail-gain data sources point to assets/*.svg (as upstream benchmarks/ is excluded), and ponytail-help configuration and update sections reference profile patches and dsh plugin.
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