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Miraculous Standard — unified anchored agent preset for DeepSeek V4 Pro/Flash (official API & opencode-go). Minimal-exact two-tool first-request bootstrap, model-aware Pro/Flash paths, unified context gate, epoch-aware catalog management, rc7-ready shell handling.
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DSH 完整移植版 dietrichgebert/ponytail — 懒惰 senior 模式,6 个中文 Skill,无空 tool
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Auto-blame: when a turn closes, asks an LLM for three cynical follow-up prompts and shows them as click-to-send bubbles above the composer. Host-gated master toggle in the settings page.
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SillyTavern prompt presets, macros and editor for DeepSeek Harness
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OpenTelemetry and Langfuse observability exporter for DeepSeek Harness: turn/step/tool/LLM spans, token and cost metrics, and sanitized LLM prompt/completion capture from the session/event stream, with async batching, bounded offline buffering, and retry with backoff.
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AI-for-Science research workflow skill bundle for DeepSeek Harness: multi-angle literature review with per-angle files, anchored experiment design with a caveat list, figures, paper reading; cross-verification briefs.
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Per-conversation persona / master prompt for DeepSeek Harness: a small box beside the mode controls in the composer lets you create, switch and manage the highest-priority persona of the current conversation (subagents inherit, new conversations inherit the last-used persona).
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Standalone DeepSeek Harness plugin: continual harness self-evolution. The agent persists and refines reusable prompt notes, memories, skill contracts, and subagent specs through small evidence-backed edits, with automatic refinement gates, rollback, and prompt injection.
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Vertical prompt quick-jump rail for the DeepSeek Harness web conversation view
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Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness with source-preserving evidence.
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DeepSeek Harness 的 soul.md 风格人设 + 长期记忆插件:设置页输入人设卡名称和内容即可,文件由插件自动管理;可按工作区指定人设、聊天框可给会话单独切人设;AI 可自行演化人设与记忆(soul_read/soul_update/memory_*)。
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Web-chat-like message actions for DeepSeek Harness: edit-and-resend your prompt and regenerate answers in place, with a deepseek.com-style <i/N> version pager on every versioned message.
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Injects one system-prompt section so a DeepSeek Harness agent thinks and replies in Chinese
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DSH Windows default shell policy plugin: probe git-bash/MSYS2, switch bash/pwsh from the plugin config card, register the bash tool and trim the prompt tool surface. DSH Windows 默认 Shell 策略插件:探测 git-bash,配置面板切换 bash/pwsh,动态注册 bash 工具并裁剪提示词工具面
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将原作者 linshenkx 的 prompt-optimizer 移植到 DeepSeek Harness 的第三方插件
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Custom convenience suite for the dsh web GUI: appearance, timeline, folders, prompts, session export/search, Mermaid, quote reply, usage analytics, local budget, key-free backups, and a Ctrl/Cmd+K command palette; dual-face plugin mounted without dsh source changes.
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Keeps long coding-agent sessions lean: wrap work in named tasks and, when one is done, fold its whole span into a short titled summary. The conversation stays readable, context costs stay low, and every fold's original content can be read back on demand. For DeepSeek Harness.
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Fork of @deepseek-ai/dsh-agent-instructions that delivers the workspace instruction baseline as system-prompt sections, keeping the upstream mid-session reminder path.
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Third-party DSH WebUI enhancement plugin: custom backgrounds, theme colors, prompt presets, token visibility, and manual context compaction.
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One memory layer for every AI tool and agent, packaged for DeepSeek Harness with startup context, prompt-time recall, Mem MCP tools, and DSH thread capture.
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A local, bilingual prompt library with session-level system prompt injection for DeepSeek Harness Web.
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WebUI-managed encrypted credentials for DeepSeek Harness: one file, plaintext until a password is set, then AES-256-GCM ciphertext under an Argon2id-derived key with SHA3-256 fingerprints; per-request decryption, unlock lockout, leak-guard output redaction, and shipped-code integrity self-checks.
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Aggregate and natively control DeepSeek Harness sessions across multiple remote dsh web servers from one pane: server registry, merged session list, history, prompt, cancel, rename, fork, model selection and approval/question answering.
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We Need 模式包装(DeepSeek Harness 插件):把「we need to ...」思维链引导规范(源自 scp3500/oh-we-need,MIT)做成 DSH 原生能力 —— weneed 工具(会话内一键注入)/ /weneed 命令 / WeNeed agent-preset(新会话常驻)