superself
fxylabs
The open Company State Runtime — version control for your project's state. Goals, decisions, work, and evidence outlive every chat, context window, and agent session. Ships the self CLI.
DSH-PLUGIN STORE / LIVE CATALOG
聚合 GitHub 上的 DSH 插件,打造 DeepSeek Harness 生态的一站式目录。
35 个项目,匹配「engineering」
fxylabs
The open Company State Runtime — version control for your project's state. Goals, decisions, work, and evidence outlive every chat, context window, and agent session. Ships the self CLI.
renjianguojinqianfan
A lightweight Python project protocol template for AI-assisted development. 轻量级 Python 项目协议模板,内置协作协议与质量门禁。
Leeaoyin
Structured, reusable skill modules for AI coding agents — covering engineering workflows, reliability evaluation, and production readiness.
debabsah
A full engineering bench for your coding agent: the work survives any session, and every done comes with proof. Runs on Claude Code, Codex CLI, Copilot CLI, Kiro CLI, and DeepSeek Harness.
iamaanahmad
The definitive collection of production-ready agents, skills, and configurations for Google's Antigravity IDE
yanzhao77
Autonomous software factory built on DeepSeek Harness — turn natural-language requirements into real, tested, buildable and deployable software.
Ink-dark
DeepSeek Harness agent preset for adversarial review: presumes the artifact is wrong, demands a citable authority and file:line for every finding, refuses to edit tests to pass, and asks before changing anything.DeepSeek Harness「对抗式审查」Agent 预设:预设被审查对象是错的,每条结论必须给出权威依据与文件行号;严禁改测试让其通过,修改任何文件前先征求同意。
heyadhithya
Cordis-native, evidence-driven full-stack engineering discipline for DeepSeek Harness agents
whaojie797-design
Generate a 10-minute readable engineering onboarding pack for any local repo. Deterministic static analysis; Python/TS-JS/Docker Compose. Agent Skill for Codex/Claude Code/Cursor.
hollis-openlab
Matt Skills engineering workflow plugin for DeepSeek Harness
liyixuan201211
What will your agent's context cost before it runs? Audit instruction files, skills, MCP tool schemas and memory per source — with duplication, always-on versus on-demand costs, and a budget you can enforce in CI. Reads files and nothing else.