dsh-purge
DeepSeek Harness 破甲:所有模型都可破甲,不同模型可换不同提示词;默认提示词面向国模「小码酱」。Jailbreak for every model. 求 Star ⭐
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DeepSeek Harness 破甲:所有模型都可破甲,不同模型可换不同提示词;默认提示词面向国模「小码酱」。Jailbreak for every model. 求 Star ⭐
跨工具(Cursor / WorkBuddy / Claude Code 等)的 SKILL.md 技能管理器与 Rules 规则管理器(含远程规则导入),TypeScript 零运行时依赖实现
DSH (DeepSeek Harness) plugin packaging of the Project Blueprint skill — one-command AI coding conventions (AGENTS.md, docs skeleton, CI/CD, git rules, testing policy) with an autonomous discovery engine (7 languages, 15 frameworks, 70+ components, web fallback).
Security scanner for DSH plugins: static and semantic passes over plugin source, DSH-specific attack-surface rules, npm audit, batch scanning, and an HTML report with per-finding severity and evidence.
Edit ~/.dsh/AGENTS.md (global rules) from the web settings panel.
Archive manager for dsh sessions: browse, unarchive, and auto-archive by rules. · dsh 会话归档管理:浏览、取消归档、按规则自动归档。
DSH host plugin — smart outbound HTTP(S) routing: named proxies (http/https/socks4/4a/5/5h), per-host/provider/plugin rules, direct-first fallback with health memory (global fetch + node http/https).
dsh-skillport — every skill you already have (Claude Code, Codex, Cursor, Gemini CLI) works in DSH: Agent Skills SKILL.md discovery across .claude/.agents/.dsh/.gemini + extraPaths, Tier-2 conversions (cursor rules, claude commands, context files), find_skill search, and a skills doctor
Inject rules when needed, without wasting context. DSH port of opencode-stream-rules.
Environment housekeeper for DeepSeek Harness: toolchain inventory, agent scratch/cache scan with safe one-click cleanup, and the machine rules file (AGENTS.md) view/edit - all in the Web GUI settings. Zero runtime dependencies.
DSH web plugin: a native Settings panel for visualizing and managing MCP servers, skills and rules, with a modular feature registry so future visualizations slot in without touching the shell.
CC-style auto mode for DeepSeek Harness: deterministic deny/allow rules + pre-execute gate + model-agnostic two-stage classifier. Two-state (allow/reject) classifier since 0.8.0. TypeScript rewrite merging dsh-auto-mode v0.4.1 with Nuo-cl/dsh-auto-mode native integration.
DSH rules plugin: activate rule prompts / markdown documents by glob-matching the files an agent reads or edits (Claude Code rules.md style).
Archive manager (browse / unarchive / auto-rules) plus a Codex-style left tick rail for jumping between conversation turns. · 归档管理(浏览、取消归档、自动归档规则)与左侧对话刻度栏跳转。
Better DSH: archived-session management, task-stop desktop notifications, an update checker, model routing (keyword rules + allowlist-gated model_route), multi-task scheduled triggers (interval heartbeats & fixed-time tasks), and a DeepSeek-style message scroll nav for the dsh web GUI
Pack skills, rules, and MCP into .pack.zip and install them into Claude Code, Codex, Cursor, and other harnesses
Deploy the ArchGraph ARGO toolchain, skills, and rules (schema, scripts, argo-init skill, global rule) with one command.
Claude → DeepSeek Harness (DSH) 配置迁移插件:把 .claude/skills、.claude/rules、.mcp.json、CLAUDE.md 拖入插件目录即自动加载为 DSH 能力,内置完整看板(skills / rules / MCP / 连接状态)。
Hybrid model router for DeepSeek Harness: declarative rules, user-configurable cost control (cost-first / quality-first / balanced), optional LLM task classifier, and failure fallback chains.
WeChat Official Account content studio for DeepSeek Harness: anti-homogenization writing methodology, blessing-image visual baseline, gpt-image cover pipeline with OCR acceptance, interaction rules, and the measured xiaolvshu (newspic) draft web API.
Private, per-project system-prompt rules for DeepSeek Harness — matched by git remote URL, repo path, or cwd prefix; worktree-aware; never committed to the repository.
Append ambiguity-handling rules to dsh system prompt
Approval Assistant for DeepSeek Harness: approval reminders, auto-approval rules, completion reminders and question popups with per-feature channels (popup / system notification / sound / custom sound). 审批提醒、自动审批、完成提醒与提问提醒。
DSH Cordis plugin: turn arbitrary source text or images with text, diagrams, and tables into an AI-generated knowledge graph (facts / inferences / concepts / definitions / examples / counter-examples / rules) with two-way linking between the graph and the original text, plus evidence-grounded verification, questioning, one-click fixes and an audit log.