Tabbit-Browser/dsh-tabbit

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A DeepSeek Harness (dsh) plugin bundle for Tabbit Browser. Through this plugin, dsh calls on Tabbit to complete agent tasks: real pages, real login state, real interactions, driven through a native code-first tool (not shell round-trips). Use it for web automation, information extraction, QA, and benchmarks.

What you get

Component	Description
tabbit_browser	Read and operate web pages using Tabbit's real, built-in CLI mode.
Browser-backed web_fetch	Re-points dsh's web_fetch to Tabbit itself (dsh's built-in direct fetcher has no JS rendering, no login state, and bypasses the system proxy — under a fake-IP proxy setup it refuses every domain).
"Web tabs" @ mention	Type @ in the dsh Web UI input box to list pages open in this session's browser tasks and every tab in the user's browser — pick one to add as context.
Dedicated "page access" permission	Full permission controls. Because dsh shares the user's cookies when it reaches Tabbit pages, it confirms pageAccess (asked once per session by default) and intranetFetch (per-request approval when web_fetch targets an intranet address).
tabbit_browser_install tool	Environment preflight: detects an installed stable Tabbit build and verifies the launcher and Runtime Service; downloads Tabbit as a dsh background job when it's missing or outdated.
tabbit_plugin_update tool	Plugin update check: asks npm for the latest release at most once a day, and silently installs a suitable version in the background.
/tabbit-info command	Type /tabbit-info in the dsh input box for diagnostics: plugin and host DSH versions, launcher, instance list (with product names), effective instance and its source, permission settings, task occupancy.
tabbit skill	Teaches the model best practices for using Tabbit. Defaults to Tabbit's own official skill at ~/.agents/skills/tabbit/ (it evolves with the browser runtime); this plugin bundles a fallback copy.

Installation

Prerequisites

• A stable Tabbit Browser build (international edition or China edition, 1.9.0 or newer) that has been launched at least once (this registers the CLI launcher on first launch).
• Node.js >=22.19 and dsh >=0.1.1-rc.2 (install dsh with npm install -g @deepseek-ai/dsh). On hosts below 0.1.2-alpha.1, the built-in web_fetch tool is unavailable in Web app sessions (tabbit_browser is unaffected).

Install dsh-tabbit

dsh plugin --profile web add dsh-tabbit                 # primary npm route

Other install methods

dsh plugin --profile web add github:Tabbit-Browser/dsh-tabbit # fallback when npm is unreachable
dsh plugin --profile web add link:/path/to/dsh-tabbit   # local development

This package supersedes the earlier tabbit-browser skill-only plugin, and continues on from the 0.2.x line published on npm — 0.2.x users get an upgrade notice from the daily update check, and simply re-running the install command upgrades in place.

Community & Support

Scan the QR code below to join the dsh-tabbit Developer Group to share feedback, ask questions, and discuss new features:

Settings

Basic configuration

dsh Settings → tabbit, or $DSH_HOME/settings.yaml

tabbit:
  instance: ""            # explicit 16-hex instance id (/tabbit-info lists them); usually leave empty
  launcherPath: ""        # override; default discovers tabbit-cli, falls back to tabbit-playwright; %LOCALAPPDATA%\Tabbit\LocalAgent\bin\tabbit-cli.exe on Windows
  pageAccess: ask         # ask (once per session) | always | never
  intranetFetch: ask      # web_fetch to intranet/loopback targets: ask (once per session+origin) | always | never

Instance resolution priority

Priority order when this machine has more than one Tabbit build installed:

1. an explicit tabbit.instance setting;
2. the Tabbit instance currently viewing dsh-web (auto-detected: the client plugin pings /tabbit/instance-hint on page load, and the server traces the loopback socket's peer process up its parent chain to match the instance registry's browserPid; macOS only — naturally misses when a non-Tabbit browser has the page open) — "execute in whichever Tabbit you're viewing dsh in";
3. an inherited TABBIT_PLAYWRIGHT_INSTANCE environment variable (the authoritative channel in the embedded form: Tabbit injects its own instance id when it launches its bundled dsh);
4. automatic registry selection (the single online instance; an ambiguity error listing the candidates otherwise — on Windows, when the registry isn't readable, the native CLI picks for itself).

Check the currently effective source anytime with /tabbit-info (execution instance: ... (via ...)).

Full access note: dsh's danger-full-access permission preset writes the session's approval policy as never (dsh's definition: auto-deny every ask). This plugin's permission gate detects that override and auto-allows instead of issuing an ask that's guaranteed to be denied — full access means full access (bash is already unrestricted in that mode, so gating only the browser tool has no defensive value). Exception: a deployment-level default of never (not a session override) isn't visible to the public API and still gets denied — that combination gets a denial message pointing at the tabbit.pageAccess: always escape hatch.

Permissions & Security

• Because the agent shares the user's real login state, pageAccess is a dedicated permission independent of filesystem/sandbox permissions, and asks for user confirmation by default.
• Authorization is remembered: once a tool call succeeds, this session won't ask again; failures aren't recorded (a retry after failure asks again).

Development

Developing and testing this project depends on a local deepseek-harness checkout. The @deepseek-ai/* packages published on npm generally lag too far behind to install directly as dependencies, so you need to build a harness checkout locally first, then point the repo's .dsh-harness symlink at it with the script below (that path is already ignored in .gitignore). That's the only place you configure it — neither tsconfig.json nor package.json needs any changes.

Get and build deepseek-harness (skip if you already have one):

git clone https://github.com/deepseek-ai/deepseek-harness && cd deepseek-harness && pnpm install && pnpm build && cd ..

Point this repo at it — replace /path/to/deepseek-harness with your actual checkout path:

npm run link-harness -- /path/to/deepseek-harness   # or set DSH_HARNESS_PATH

Install and build:

pnpm install && pnpm build   # tsc → lib/
npm test                     # build + node --test tests/

Known limitations / Roadmap

• Mentioning bookmarks/favorites isn't supported yet.
• Screenshots entering context require a model route that accepts image input.
• Windows regression testing is limited.