Plugins

DeepSeek Harness Cordis tools for All in Flash, powered by All in Luna

Security-audit methodology skill pack plus the plugin_vet supply-chain gate: eight agent skills (secret scan, dependency audit, supply-chain review, prompt-injection review, audit orchestration, threat modeling, vuln intel, incident response) in Chinese and English editions, with an npm provider bundle that mounts the skills and registers the automated plugin_vet pre-install scanner.

Role-based multi-agent team for DeepSeek Harness — your digital workforce. One goal assembles a team of product, architect, frontend, backend, reviewer and QA roles that deliver through a nine-phase gated pipeline, plus a persistent team you can keep directing across sessions. Zero runtime dependencies, no build step.

Multi-agent orchestration layer for DeepSeek Harness — autopilot/ralph/team execution modes, 19 role cards, 40 bilingual skills, and a bundled MCP state server, ported from oh-my-claudecode.

Agent-team orchestration sidecar for DSH: teams with a configurable member cap, real sub-agent members with per-member model routing, task DAGs that dispatch automatically when their dependencies finish, a broker that enforces fs/exec/net/env permissions, and a live web panel over SSE.

Runs the DSH session agent as an explicit control loop: a persistent session goal drives rounds of task, verify and triage agents via one workflow run per round, with append-only goal revisions and an optional hard gate that restricts the top-level agent to read and orchestration tools while routing every change through a goal. Includes a client-side Goal tab and sub-agent approval relay.

Multi-agent orchestration agent preset for DeepSeek Harness: one chief orchestrator that never implements itself — it triages every request, has a PM expert plan the work, and delegates implementation to domain experts via a merged expert roster (list and summon tools), scheduling parallel work through a dependency-DAG taskboard and a file-based message bus, with delivery gated by an independent review. Ships 11 core experts; more expert teams (Agency agents EN/ZH, classic collections) are one-click downloads from the settings page over dual GitHub/CDN channels with sha256 verification. Published on npm as dsh-expert-orchestrator (requires DSH >= 0.1.7-alpha.2).

Domain-identity layer for long-running agent sessions — declaration-first domain addressing, a session factory, four-level pause, and model dispatch for coordinating multiple top-level sessions.

Role-based AI swarms for DeepSeek Harness: an architect plans, parallel builders execute, reviewers gate quality, and an integrator ships. Per-role model pinning with fallback chains, review loops, evidence contracts, human-gated reviews, quota-aware pause/resume, and a live kanban + flow chart in the web GUI. 40 tests; installs from GitHub or npm.

Cross-session task delegation for DeepSeek Harness: spawn durable top-level sessions and send them tasks, read or steer them by base62 session alias, and approve their sandbox escalation requests through an approval bridge that refuses destructive deletes.

AI Company Framework: turn one sentence into a multi-agent company — 15 flat Skills (boss/pipeline/role-template/11 roles/generic customer-memory), 7 workflow templates, AgentTeams runtime + activity panel, employee sidebar with per-session isolation, Feishu bot bridge (boss and per-employee bots, group routing, autonomous push, human decision gate, external-contact guide), per-customer SQLite memory with three-layer memory (cross-group merge), /company mode switch; no RAG.

Model high-availability failover (quarantine, circuit breaking, probe recovery) and subagent orchestration (fanout/pipeline/supervisor) with bilingual settings UI.

三省六部制多智能体审核流程，移植为 DeepSeek Harness 插件：12 状态状态机、门下省封驳、高风险操作确认、越权矩阵、委派防死锁、完整审计。规则与 edict（OpenClaw）逐条对齐。

Workflow and automation (`workflow`): task dispatch, optional Agent Teams, and tiered verification; usage and billing (`usage`): session token tracking and automatic context folding (no bill calculation); sessions and messages (`session`): persistent fold state, protected recent messages, and watermark-triggered handoff; models and account access (`model`): six dispatch pools and optional intent-based routing (no account integration); skills (`skill`): read-only MySQL/Redis checks, commit-message generation, and requirements/design docs; development and runtime (`dev`): Host/Client settings UI and tool-call safeguards. Together, these features are designed to balance output quality with token efficiency and model-use costs.

Orchestration-mode preset generator for DSH: a lead agent delegates to four built-in role helpers that carry only their own tools, and the web panel adds or removes custom helpers with their own tools, skills, and models, per workspace — zero changes to the harness source.

Delegate from DeepSeek Harness Web to existing Codex CLI, Codex Desktop and Claude Code sessions with progress and completion callbacks.

Bundles 19 short-video production skills (1 entry point, 1 orchestration, 17 atomic) into the agent skill catalog: Chinese TTS pronunciation fixes, text-to-image and text-to-video, image panning, composition, covers, media verification, data review and four-platform publishing. Ships skills and scripts only, so a runnable pipeline still needs ffmpeg, Python 3 + Pillow, Node.js and playwright installed locally, your own Bilibili biliup credential and WeChat Channels / Douyin / Xiaohongshu login states, and the placeholder values under skills/*/scripts/ filled in with your own. An installer's own skill of the same name keeps precedence.

A governed swarm of six specialist DSH agents — orchestrator, planner, knowledge-base bridge, developer and two reviewers — turns a requirement into a strict phase pipeline where every delivery must prove itself with structured evidence before the next phase may start; reviewers are read-only, code merges only after a review pass, and an append-only event log gives full replay and audit on a live kanban board. Its design draws inspiration from the Hermes Agent kanban.

Data asset orchestration engine that chains suite tools into preset pipelines (masking, cleaning, inventory, packaging, attestation, AI dataset health check, government inspection, circulation assessment), with incremental and scheduled processing.

Multi-machine, multi-agent orchestration and control plane for DSH: discovers Agents and workspaces across devices, routes tasks by machine, repository, capability, and load to local or remote Agent runtimes, streams progress and results, forwards approvals, and recovers durable tasks after disconnections.

DeepSeek Harness tool plugin: run AgentFlow (material-canvas agent orchestrator) boards from the model

Multi-agent orchestration preset: a lead agent dispatches subagents from a built-in role roster over separate read and write lane pools with per-role model binding, and collects each subagent report on a shared board; adds go_work/continue/need_help/forward tools, a tree-view panel and a settings page.

DeepSeek Harness plugin for Braid: background agent graphs, bounded loops, live updates, and execution progress

Lifecycle orchestration engine for AI agent teams with task-scoped Git worktree isolation, state-gated delivery transitions, and off-context memory.