Bundle
DeepSeek Harness plugin: installs the 'minimal-gitbash' agent preset — the Windows variant of the shipped minimal preset that routes the bash tool through Git for Windows bash (MSYS), with automatic shell discovery and sandbox-aware gating.
Bundle
Minimal Root-Orchestrator PTES pentesting plugin for DeepSeek Harness
Bundle
Password login gateway plugin for dsh web: auto-generated initial password with forced onboarding, login, password change with real request interception, and OTP two-factor authentication.
Bundle
Ponytail, lazy senior dev mode, for DeepSeek Harness: 6 skills (ponytail, ponytail-audit, ponytail-debt, ponytail-gain, ponytail-help, ponytail-review) adapted from DietrichGebert/ponytail (MIT)
Bundle
Privacy-minimal heuristic per-turn execution summaries for DeepSeek Harness
Bundle
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.
Bundle
DSH bundle: grok-geo GEO brand audit agent skill — AI-search visibility, recommendations, citations, competitor presence and content-gap diagnosis across 17+ AI engines (ChatGPT/Perplexity/Claude/Gemini/豆包/DeepSeek/Kimi/文心一言...), shipped as a bundled skill provider. Zero-dependency.
Bundle
Windows Git Bash fix for DeepSeek Harness (dsh): MSYS sandbox conflict + terminal inspector, plus the minimal-win collective-thinking preset (we/let's reasoning chain).
Bundle
Decision-driven AI company orchestration with HR governance, monetary budgets, model discovery, and deterministic audit for DeepSeek Harness
Bundle
AI response quality review for DeepSeek Harness: audits each finished assistant turn with an independent reviewer model and steers the agent to fix unreasonable output (up to 2 review rounds).
Bundle
LLM auto-review approval answerer for DeepSeek Harness — decides sandbox escalations without a human prompt via a deterministic filter and a clean-context LLM safety review. REQUIRES a patched harness core (see core-patches/)
Bundle
Deterministic DeepSeek Harness Web client plugin that explains the Windows-sandbox `spawn EPERM` failure as a distinct Conversation Node.
Bundle
A DeepSeek Harness (dsh) bundle that turns code review into a hard gate: deterministic severity rules, LLM-assisted findings, team approval quorum and a compliance audit trail.
Bundle
Privacy-minimal provenance receipts for DeepSeek Harness workspace instructions
Bundle
DSH agent-fleet hygiene audit: credential-file permissions, embedded credentials in git remotes (masked), provider token-prefix literals. Read-only, zero-dependency, deterministic.
Bundle
Provider request metadata minimization extension for DeepSeek Harness
Bundle
What can this MCP server actually do? Inspect its real capability surface, seal it, and get told when it changes. Never invokes a tool; gives the server a minimal environment.
Bundle
Fix and diagnose DeepSeek Harness on native Windows. Official PowerShell, Workspace Write, shortcuts, and legacy preset repair. No WSL.
sjh9714
Bundle
Say the secret handshake: DSH subagents start on the Minimal two-tool condition to unlock DeepSeek's full RL-trained strength, then get the whole toolbox.
GY-Bai
Bundle
北极星 (Polaris):通用能力聚合与择优进化层——异构嗅探、双轨竞技场、SLSA 出处、不可变索引与语义调度。
existyay
Bundle
Pre-write reuse firewall for DeepSeek Harness: before the agent writes a new helper/service, surface the existing implementations that already cover that intent. Deterministic retrieval (no LLM) backed by the Auto_code_audit capability channel.
keyiadiannao
Bundle
Local, deterministic release risk checks for DeepSeek Harness.
XiaoSong1223
Bundle
Cloud-backed cross-session memory for DeepSeek Harness: structured entries + vector retrieval persisted to S3-compatible object storage (AWS S3 / MinIO / R2 / OSS), with local cache projection, approval-gated writes and auditable trails
Re-s
Bundle
Three-mode visible-session advisor plugin for DeepSeek Harness with configurable tool permissions, local-subagent coverage, and task-tree budgets.
zhangqian98