Plugins

SSH server dashboard for DSH: per-host status, CPU, memory, disk and network meters, trend charts, an xterm.js terminal, SFTP file transfer, and server_box_hosts / server_box_exec / server_box_upload / server_box_download chat tools; imports ~/.ssh/config and mounts as a sidebar tab or a standalone drawer.

Removes sandbox_permissions / justification arguments that cannot widen the call's current sandbox mode, so calls no longer fail with 'sandbox escalation to "workspace-write" is not strictly wider than this call's current "danger-full-access" mode'. GPT models tend to fill these optional fields on every call and pick workspace-write, which is narrower than danger-full-access. Runs in tools/pre-execute: compares the requested mode with the mode the session's sandbox policy resolves, and drops the fields when the request is the same or narrower (also drops a lone justification). Also understands the values GPT carries over from Codex's own shell tool: null, empty and use_default are treated as no request, and in a danger-full-access session any value (including require_escalated) is dropped because nothing is wider. Real widening requests, unknown modes and tools that do not advertise DSH's escalation schema are left to DSH core. Never widens permissions. Configurable tool list (default bash, pwsh, write, edit, run_code). Zero dependencies.

\!WARNING\! this removes the authentication step !WARNING! Exchanges the process launch token for the browser-session cookie, so a first visit needs no ?token=... in the URL.

Re-encodes WebP attachment images to PNG so alpha-channel images load on LLM backends that cannot decode WebP (e.g. llama.cpp).

Reload a plugin or skill you just installed without restarting DSH. reload_plugin clears that plugin's own module cache, unloads the old instance and re-imports it, restoring the previous module if the new code throws; reload_skill forces skill directories to be re-discovered. Ships both as tools and as the /reload-plugin and /reload-skill commands.

Governs the persistent information and project constraints an agent works with - project orientation and scope, information and document lifecycle, and persistent workspace mutation - through one additive system-prompt section plus deterministic runtime checks.

Talk to DeepSeek Harness from Feishu / Lark. A chat maps to a DSH session, messages become turns and answers are pushed back as cards; questions, permission requests, model switches and conversation switches are interactive cards, and inbound files and images are downloaded into the workspace.

Fork of amlyczz/dsh-lark-link (MIT), maintained by Very12345. Per-conversation reasoning-effort controls, multi-app isolation, and streamed task-status cards.

Pushes DSH session events to phone IM and lets you reply straight under that message, injecting the text back into the right session. Covers nine event kinds: task completion, execution error, execution blocked, manual abort, token limit reached, abnormal interruption, waiting for your answer, permission request, and waiting for plan confirmation. Channels are QQ single-chat bots and Feishu custom apps, both over WebSocket long connections — no public IP, domain or tunneling needed. Several bots can be configured at once, each subscribing to the sessions it cares about. Approvals and questions arrive with tappable buttons, and replies route home through three layers (button, quoted reply, explicit short-id prefix), falling back to the most recent intervention-needed notification and echoing which session it went to.

DingTalk alerts when the agent needs your choice or approval, or finishes a turn; it stays quiet while you are watching the DSH page.

Bridges DeepSeek Harness sessions to Feishu/Lark, Telegram and DingTalk: each chat is bound to a resumable DSH session, replies stream back as cards, and a task-end card reports the model, token usage, step count and duration. Question and permission-approval cards are answerable from the chat, and a web settings pane configures the per-channel credentials.

A /review command that hands the current change set to a reviewer subagent pinned to the model you choose, with one continuing reviewer session per chat.

Source Control panel in the DSH Web left rail: search, switch and create branches with ahead/behind counts, a topo-order commit graph, and a click-to-expand preview of any commit showing its files (A/M/D), insertions and deletions, message, author and timestamp. An always-on footer dock above Settings carries the branch dropdown and recent commits and follows the open session; fetch and fast-forward pull are one button, and a git_worktree agent tool creates, lists and removes worktrees.

A code review workflow that reviews uncommitted changes, changes against a base branch, a single commit, a GitHub pull request, or a file.

Task workspace convention: one folder per session, one PROGRESS.md per task overwritten on each update, and per-task git once the task runs long.

Gated four-stage video pipeline: brief, script, assets and compose, turning one sentence into a narrated explainer with ComfyUI workflows or image/video APIs and FFmpeg assembly.

Session-scoped research evidence ledger with sources, linked claims, open questions, and explicit user review; provides a tool, slash command, and conversation panel, with selected-claim Markdown export that omits excerpts, review notes, and local paths by default; does not fetch sources or verify their truth.

Session-scoped delivery receipts for local artifacts: compare current file hashes with a recorded baseline, keep agent claims separate from explicit user acceptance, flag changed or unavailable files, and export a Markdown receipt through a tool, slash command, and conversation panel.

Ports jcode's auto-poke so an idle agent keeps working while its session still has incomplete todos.

Provide a LeLogin skill for credential injection and authenticated business applications without exposing plaintext secrets.

Skill center: browse and manage local Agent Skills, and search, preview and install skills from the ClawHub, ModelScope and QwenPaw marketplaces in one merged view with source and category filters; ships a `skill_hub` tool so the agent can install skills itself. It uses the same package name (dsh-skill-hub) and mount id (skill-hub) as cheshireez/dsh-skill-hub and amd47802574/dsh-skill-hub, so only one of the three can be installed.

Agent skill and tool for querying multi-platform model account balances: DeepSeek, Doubao / Volcengine, Qwen / Alibaba Cloud, Hunyuan / Tencent Cloud, and custom HTTP endpoints. Read-only, with 60s cache.

Knowledge-point notebook for DeepSeek Harness: turns a Markdown notes folder into a card canvas — folder = chapter, file = section, body = knowledge points — with masked-answer questions for self-testing, KaTeX formulas, Mermaid flowcharts, a mind map view and in-panel editing.

Speaker button left of the model selector in the composer tool row — one click scrolls to the start of your newest question, marks it with a blinking caret and reads from there through the newest agent reply (dsh-tts, browser voice as fallback); press-and-hold the icon and then click anywhere on the page to pick another reading start position; press-and-drag-up opens a vertical mixer for in-page media volume and system output volume.