hackernotfound/dsh-tacit 预览 preview

hackernotfound/dsh-tacit

Plugin插件 Native原生 ⭐ 3 MIT Prompts & Skills提示词与技能

You keep writing prompts the way you already do. Tacit watches how each turn actually went — retries, tool errors, and above all the message you send when the agent got it wrong — and turns your habits into a few directives the agent follows in every new conversation. No clicks, $0.001–0.003 per lesson.

catalog descriptioncatalog 简介 / catalog description:Learns what you leave unsaid in your prompts and steers the DeepSeek Harness agent for you

Project Overview项目介绍

Tacit is a DeepSeek Harness plugin that watches messy turns and user corrections, then distills 1–4 short directives that are injected into the system prompt of every new conversation. It adds an Improve button to rewrite drafts using what it has learned, plus a Settings page showing correction trends, messy-turn rates, and per-operation spend. Use it when repeated workflows need the agent to remember unspoken preferences without manual instruction. Each analysis costs roughly $0.001–$0.003, and every new directive is on a 10-turn trial before it sticks.

Tacit 是 DeepSeek Harness 插件,通过观察用户的纠正行为、工具错误与对话走向,自动从真实回合中提炼 1–4 条简短的指令,并注入到后续每场对话的系统提示中。还提供 ✨ Improve 按钮按已学指令改写草稿、显示真实趋势与计费的设置页。适用于希望让 agent 记住自己未明说偏好的重复工作流。注意:每次分析约 0.001–0.003 美元,新指令需试运行 10 回合。

Or use CLI install (for developers)或使用命令行安装(适合开发者)

CLI Install命令行安装

npx @deepseek-ai/dsh plugin --profile web add dsh-tacit

hackernotfound/dsh-tacit 加入你的 DSH 配置(web profile)即可启用。

READMEREADME

Tacit

Learns what you leave unsaid in your prompts — and tells the agent for you.
A plugin for DeepSeek Harness.

npm test MIT 中文

You keep writing prompts the way you already do. Tacit watches how each turn actually went — retries, tool errors, and above all the message you send when the agent got it wrong — and turns your habits into a few directives the agent follows in every new conversation. No clicks, $0.001–0.003 per lesson.

you:    "make the login page better"
agent:  …stumbles…
you:    "no, I meant the Next.js app under apps/web"

Tacit:  learns → "The user often omits which app they mean — check apps/web first."
        injects it into every later conversation's system prompt.
        You never have to say it again.

Install Tacit, open its conversation tab, review learning controls, and edit the directive it gives the agent

Install — 30 seconds

npx @deepseek-ai/dsh plugin --profile web add dsh-tacit

If dsh is already installed globally, dsh plugin --profile web add dsh-tacit is the equivalent shorthand.

Start (or restart) with npx @deepseek-ai/dsh web, then refresh the page. Optional kick-start: Settings → Tacit → Learn from my last 20 turns (≈ $0.02–0.05, once).

Requires DeepSeek Harness >= 0.1.1-rc.1, Node >= 22, and a DeepSeek API key already configured in the harness (Tacit never reads it).

What you get

What Cost
Zero-click learning messy turns and your own corrections are analyzed in the background, with the previous turn as context; automatic analyses are capped per day (30 by default) $0.001–0.003 each
Directives that earn their place learned directives are injected as a short system-prompt section you can read, edit, toggle or delete; a new one goes on trial (one per scope at a time) and is retired if you start correcting the agent more often free
✨ Improve a composer button that rewrites your current draft using what Tacit has learned, with a before/after preview and 👍/👎 $0.001–0.002 per click
Measured, not guessed Settings shows your real trend — how often you correct the agent, messy-turn rate and tokens per turn, first 20 turns vs. latest 20 — and Tacit's own spend: every call metered and priced at list price, shown in Settings free

Settings → Tacit: the Overview card with automatic learning status and the Usage card with spend tiles, a daily spend chart, spend by operation and the run list

Settings → Tacit with Overview and Usage expanded, captured from a clean local profile seeded with synthetic runs and directives.

How it works

  1. Tacit keeps a small, bounded digest of every turn: the prompt, what tools ran, what went wrong, how it ended.
  2. When a turn ends messy, or your next message reads as a correction, one small deepseek-v4-flash call analyzes that prompt and records what was missing.
  3. Every few analyses, one more call distills the findings into 1–4 one-sentence directives for the agent. Each new directive is on trial for 10 turns.
  4. The directives become a ~300-token section of the system prompt in every new conversation. The exact text is visible in Settings; only clipped digests of your turns ever leave the machine.

The full walkthrough with every number and a diagram: How it works.

Privacy & cost, in one paragraph

Tacit never sees your API key (every call goes through the harness's own model service), only calls the allowlisted official models over your session's own provider route, keeps reports and directives in ~/.dsh/storages/tacit/, refuses cross-site requests to its own routes, and never deletes anything but its own reports and expired usage files. Credential-shaped strings in what it captures — API keys, tokens, JWTs, private-key blocks — are masked before anything is stored or sent. Dollar figures are estimates at list price; a cost plugin such as dsh-cost-meter shows the real number. The full data-flow and cost tables, and the honest list of limitations: Privacy, cost & limitations.

Help shape Tacit

Tacit works and I use it every day — but so far it has learned from one person's prompts. It gets better with more of them.

  • Try it and say what feels wrong. A directive that misfires, a cost that surprised you, a label that reads oddly: open an issue. Two minutes of your time beats a week of my guessing.
  • Pick up a task. Issues tagged good first issue are small and come with acceptance criteria; help wanted ones are bigger and I will pair on the design.
  • Ask anything in Discussions.

PRs are welcome — the fork → branch → PR walkthrough is in CONTRIBUTING.md. No API key is needed to run the tests.

Documentation

Getting started install, check it's on, bootstrap, where things are in the UI, troubleshooting
How it works the pipeline step by step, with a diagram and a glossary
Privacy, cost & limitations what stays local, what is sent, what each call costs, what it can't do yet
Configuration every setting, defaults and ranges
Architecture for contributors: modules, hooks, routes, storage
Contributing · Changelog

MIT © hackernotfound

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