Leitarkkk/dsh-research-nudge
Leitarkkk★ 4JavaScript最后同步: 2026-08-19
DeepSeek Harness plugin that auto-nudges agents to consult docs or web search when local trial-and-error becomes costly. DeepSeek Harness 插件:当本地试错成本升高时,自动注入检索提示,引导 Agent 查阅文档或联网搜索。
README 摘要
dsh-research-nudge English 简体中文 An advisory research-debt guard for DeepSeek Harness. It notices when an agent spends a long stretch reading, editing, executing, and repeating failures without consulting external evidence, then adds a short reminder to the next model step. It does not call an LLM, perform a search, block a tool, or force the agent to browse. The reminder explicitly allows self-contained work to continue normally. The problem Agents sometimes fall into a local trial-and-error loop: A search of the official docs, an exact error message, or an existing GitHub issue may resolve that uncertainty faster. dsh-research-nudge turns the growing cost of the local loop into a deterministic score called Research Debt . Research Debt: a calculated example This is a hypothetical sequence calculated from the documented default weights, not production telemetry. It shows exactly how the score would cross the threshold: Step Signal Added debt Total : : Read local code ordinary tool +1 1 Edit a file mutation +2 3 Run and fail execution + failure +1 +4 8 Edit again mutation +2 10 Run and hit the equivalent failure again execution + failure + repeated failure +1 +4 +6 21 The default th…
在 GitHub 查看完整 README →分类
last30days-cn 是一个 AI Agent 技能(Skill),能够自动搜索中国互联网 8 大主流平台最近 30 天的内容,综合分析后生成有据可查的研究报告。
★ 1,477
Awesome-AI-Pedia/Awesome-AI-PediaAI skills大全 mcp ai知识库 Agent 全维度 AI 资源百科,DSH插件 收录大模型、智能 Agent、RAG 检索增强、多模态、MLOps、AI 应用工具、AI面试集、Vibe coding 大全、零基础学习路线,持续更新前沿 AI 开源项目,开发者一站式 AI 导航库
★ 227
liustack/modsearch🥇 The strongest free web search plugin for DeepSeek Harness, and the search bridge for every model without native web access. Free, no signup, no API key. Ask the web or X, get structured JSON evidence. | 🥇 全网最强的 DeepSeek Harness 免费联网搜索插件,免费免注册免 API key。为不能联网的模型补上搜索,问网页或 X,拿回结构化 JSON 证据(搜索、抓取、引用)。
★ 222