Agent skill

Kimi Webbridge

by MoonshotAI in MoonshotAI/kimi-code

Kimi Browser Extension(Kimi 浏览器扩展,原 Kimi WebBridge)lets AI control the user's real browser — navigate, click, type, read, screenshot, and interact with any website using the user's actual login…

MITAuto-check passedDevelopment

Install Kimi Webbridge

skills CLI
$ npx skills add MoonshotAI/kimi-code --skill kimi-webbridge -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install MoonshotAI/kimi-code kimi-webbridge --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/MoonshotAI/kimi-code.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/official/kimi-webbridge/skills/kimi-webbridge .claude/skills/kimi-webbridge && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
kimi-webbridge
GitHub stars
7.8k
Token cost
~3.6k tokens
SKILL.md length
1,668 words
Files
2 (incl. references)
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

Kimi Browser Extension(Kimi 浏览器扩展,原 Kimi WebBridge)lets AI control the user's real browser — navigate, click, type, read, screenshot, and interact with any website using the user's actual login…

  • Works in 3 steps: Write the JSON body to a uniquely-named… → POST the file → Delete the temp file as soon as the…
  • The user wants to interact with websites
  • SKILL.md covers Tools, Sessions, Screenshots and Prefer snapshot over CSS/JS…, plus 7 more sections
  • Calls curl; reaches kimi.com and moonshot.cn

What it does

Kimi Webbridge is an agent skill from MoonshotAI/kimi-code. Kimi Browser Extension(Kimi 浏览器扩展,原 Kimi WebBridge)lets AI control the user's real browser — navigate, click, type, read, screenshot, and interact with any website using the user's actual login sessions. Use this skill whenever the user wants to interact with websites, automate browser tasks, scrape web content, or perform any action requiring a real browser. Also use when the user mentions "browser", "webpage", "open URL", "screenshot", or asks to read/interact with any website. Use even for simple-sounding…

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/operations.md`).

It sits in Development, covering Browser extensions, Web scraping and Browser automation. It works with Kimi and Chrome Extensions. The repository describes itself as: Kimi Code CLI — The Starting Point for Next-Gen Agents. The licence is MIT.

When your agent uses it

  • The user wants to interact with websites
  • Automate browser tasks
  • Scrape web content
  • Perform any action requiring a real browser

Example prompts

  • “browser”
  • “webpage”
  • “open URL”
  • “/kimi-webbridge”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Write the JSON body to a uniquely-named temp file with your own file-write tool — never with shell echo/heredoc, which mangles the JSON…
  2. POST the file
  3. Delete the temp file as soon as the request returns.

What it can do on your machine

Read from SKILL.md and the folder at commit 242ac23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • kimi.com
    • moonshot.cn

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Kimi Webbridge loads about 3.6k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 146 tokens; SKILL.md has 1,668 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~146
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from MoonshotAI/kimi-code at commit 242ac23, republished under its MIT licence (© MoonshotAI). 1,668 words, ~3,613 tokens.

Download SKILL.mdSave it as .claude/skills/kimi-webbridge/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
kimi-webbridge
description
Kimi Browser Extension(Kimi 浏览器扩展,原 Kimi WebBridge)lets AI control the user's real browser — navigate, click, type, read, screenshot, and interact with any website using the user's actual login sessions. Use this skill whenever the user wants to interact with websites, automate browser tasks, scrape web content, or perform any action requiring a real browser. Also use when the user mentions "browser", "webpage", "open URL", "screenshot", or asks to read/interact with any website. Use even for simple-sounding browser requests — the daemon handles all complexity.
metadata.version
2.0.11

Kimi Browser Extension (formerly Kimi WebBridge)

Control the user's real browser (with their login sessions) via a local daemon at http://127.0.0.1:10086 (the default address — see If a tool call fails for when it differs).

Tools

ToolArgsReturnsNote
navigateurl, newTab(bool), group_title{success, url, tabId}First call opens a tab — see Tabs. group_title sets the group's visible label
find_taburl, active(bool){success, url, tabId, borrowed}Re-select a tab this session opened; active:true borrows the tab the user is viewing — see Tabs
snapshot—{url, title, tree} with @e refsAccessibility tree (text) — use this to read page content and locate elements
clickselector (@e ref or CSS){success, tag, text}Synthetic el.click()
fillselector, value{success, tag, mode}Works on <input>/<textarea> AND [contenteditable] (ProseMirror/Lexical/Slate). mode is "value" or "contenteditable"
evaluatecode (supports async/await){type, value}
cdpmethod, paramsraw CDP responseRaw chrome.debugger passthrough — what evaluate is to JS, cdp is to CDP. Low-level escape hatch for cases the tools above don't cover
screenshotformat(png|jpeg), quality(0-100), optional selector (@e/CSS), optional path{format, path, sizeBytes, mimeType}Returns a file path, not base64 — see Screenshots
networkcmd(start|stop|list|detail), filter, requestIdrequest/response data
uploadselector, files(string[]){success, fileCount}
save_as_pdfpaper_format, landscape, scale, print_background, optional path{path, sizeBytes, mimeType, pageTitle}Render current page → PDF, returns a file path — see Save as PDF
list_tabs—{success, tabs:[{tabId, url, title, active, groupTitle}]}Inspect tabs in the current session
close_tab—{success, closed: bool}Close the current tab in the session
close_session—{success, closed: int}Close all tabs in the session — closed is the count. See Sessions for when to call
Tabs and the current tab

Single-tab tools (snapshot, click, fill, screenshot, save_as_pdf) act on the current tab — the one you most recently opened with navigate or selected with find_tab.

  • Opening pages: use newTab:true when pages should coexist (comparing, cross-referencing); omit it to send the current tab to a new URL.
  • Going back to an earlier tab: call find_tab to make a tab you opened earlier in this session the current one again. Pass the tab's full URL — take it from list_tabs or the earlier navigate result. A bare root domain (kimi.com) may miss a www.kimi.com tab, so prefer the exact URL. By default find_tab searches only this session's own tabs — it never reaches into the user's other tabs or windows.
  • Acting on a page the user already has open: pass active:true ("use my open X tab" / "the X page I'm viewing"). It borrows the tab the user is currently viewing (returns borrowed:true); the borrowed tab is operated in place — it is not pulled into the session's tab group.
  • If find_tab errors with "no tab matching … in this session", the page isn't open in this session — navigate with newTab:true instead.
bash
curl -s -X POST http://127.0.0.1:10086/command \
  -d '{"action":"find_tab","args":{"url":"https://www.kimi.com","active":true},"session":"k26-research"}'
Call Format

Every command carries a top-level session naming the current task — see Sessions below. The examples in later sections omit it only for brevity; in real calls always include it. Every reply is an envelope: {"ok":true,"data":…} on success (the Returns column above describes data) or {"ok":false,"error":{"code","message"}} on failure. The command format depends on the user's OS.

macOS / Linux — inline JSON is fine:

bash
curl -s -X POST http://127.0.0.1:10086/command \
  -H 'Content-Type: application/json' \
  -d '{"action":"navigate","args":{"url":"https://example.com","newTab":true,"group_title":"My task"},"session":"my-task"}'

If the inline call fails — a shell quoting/syntax error from bash, or an HTTP 400 from the daemon — do not retry the same command unchanged. Resend the request as a file body:

  1. Write the JSON body to a uniquely-named temp file with your own file-write tool — never with shell echo/heredoc, which mangles the JSON the same way. Use a fresh name per request (e.g. /tmp/webbridge-req-<random>.json).
  2. POST the file:
bash
curl -s -X POST http://127.0.0.1:10086/command -H 'Content-Type: application/json' --data-binary @/tmp/webbridge-req-<random>.json
  1. Delete the temp file as soon as the request returns.

Windows (PowerShell / cmd) — the shell corrupts non-ASCII characters (Chinese etc.) carried inline in command arguments or pipes; they reach the daemon as ? and the text is unrecoverable. Send every request as a file body instead:

  1. Write the JSON body to a uniquely-named temp file with your own file-write tool — never with shell echo/heredoc, which corrupts non-ASCII the same way. Give every request its own filename with a random suffix (e.g. webbridge-req-<random>.json) so concurrent requests never share a file and overwrite each other.
  2. POST the file with curl.exe — always curl.exe, never bare curl, which Windows PowerShell aliases to Invoke-WebRequest:
powershell
curl.exe -s -X POST http://127.0.0.1:10086/command -H "Content-Type: application/json" --data-binary "@$env:TEMP\webbridge-req-<random>.json"
  1. Delete the temp file as soon as the request returns — don't leave request bodies on disk.

Sessions

One task = one session = one tab group. A session collects every tab the task opens into one tab group, so the user sees a single group for "what the agent is doing right now". Pass it as a top-level field of the request body (not inside args).

  • Pick one session name at the task's start, put it on every command, and never switch mid-task — even across different sites. Switching session names per site is the #1 cause of fragmented tab groups.
  • Name it after the task, not the site (camping-research, phone-compare). Use multiple sessions only for genuinely unrelated parallel tasks.
  • group_title is the human-readable group label — write it in the user's language, on the first navigate of the task.
  • When you create the group (the first navigate of a task), tell the user once that this task's pages are collected under group «title», and that you'll close them whenever they ask.
bash
# First tab: set session + a human label (in the user's language)
curl -s -X POST http://127.0.0.1:10086/command \
  -d '{"action":"navigate","args":{"url":"https://www.kimi.com","newTab":true,"group_title":"K2.6 feature research"},"session":"k26-research"}'
# Another site, same task → same session → joins the same group automatically
curl -s -X POST http://127.0.0.1:10086/command \
  -d '{"action":"navigate","args":{"url":"https://www.moonshot.cn","newTab":true},"session":"k26-research"}'

Closing is always user-initiated: call close_session only when the user explicitly asks ("close those", "clear the tabs"). It clears the whole group in one call.

Screenshots

The daemon writes the image to disk and returns {format, path, sizeBytes, mimeType} — never base64, since the model can't read raw image bytes. Take the .path and open it with the Read tool to actually see it.

bash
# Default: PNG of the visible viewport, daemon picks a temp path
curl ... -d '{"action":"screenshot","args":{}}'
# Options (each independent): JPEG quality, element-only via @e/CSS selector, custom output path
curl ... -d '{"action":"screenshot","args":{"format":"jpeg","quality":60}}'
curl ... -d '{"action":"screenshot","args":{"selector":"@e123"}}'

A caller-supplied path is honored verbatim (parent dirs created, existing file overwritten) — use a unique name to avoid clobbering. save_as_pdf follows the same rule.

Prefer snapshot over CSS/JS selectors

snapshot returns interactive elements with @e refs based on semantic role/name. Use them directly with click/fill — they survive CSS class hash changes that break manually-written selectors.

Fall back to evaluate (JS) only when:

  • The target has no @e ref in the snapshot
  • You need attributes not in the snapshot (e.g., href)
  • You need to dispatch complex event sequences, or scroll
Show full SKILL.md (653 more words)Show less

Evaluate Tips

  • Always use compact JSON.stringify(data) — never add null, 2 formatting. Indentation and newlines can inflate the response several times over, causing truncation during transmission.
  • evaluate calls share the page's JS realm — re-declaring the same const/let across two calls throws SyntaxError. Wrap in an IIFE for a fresh scope: (() => { const x = ...; return x; })().

Text input — use fill

fill (selector = CSS or @e ref, plus the value) works on <input>/<textarea> (returns mode: "value") and on [contenteditable] rich editors — ProseMirror, TipTap, Lexical, Slate, Quill, etc. (returns mode: "contenteditable"), firing the right input events so the page reacts.

fill is clear-and-insert: existing content is replaced. To append, read the current value via evaluate, concatenate, then fill with the result.

Form submit / special keys

There's no separate "press Enter" tool. To submit a form, click the submit button directly (click on the @e ref or selector). To dispatch a key event programmatically (e.g. Escape to close a modal):

bash
{"action":"evaluate","args":{"code":"document.activeElement.dispatchEvent(new KeyboardEvent('keydown',{key:'Escape',bubbles:true}))"}}

Save the current page as PDF

save_as_pdf renders the current page to PDF and returns the file path. All args optional:

  • paper_format: letter (default) | a4 | legal | a3 | tabloid
  • landscape: false (default)
  • scale: 1.0 (default), range [0.1, 2.0]
  • print_background: true (default) — keep background colors
  • path: caller-supplied output path; if absent, daemon picks a default under OS temp dir using the page title as the filename

path semantics match screenshot: written verbatim, parent dirs auto-created, existing files overwritten.

Decoded PDF cap is 100 MB. Above that the daemon refuses; reduce scale or split the page.

Known limitations

  • Sites that strictly check event.isTrusted (some banking portals, captchas) ignore click / fill because those fire DOM-level synthetic events (isTrusted=false). For these, tell the user the page needs manual interaction. (Trusted input is possible at the protocol level via the cdp escape hatch, but treat that as advanced.)
  • Cross-origin iframes: fill, click, evaluate, and snapshot operate on the top frame. If a target element lives in a same-page iframe from a different origin (e.g. embedded sandbox demos), navigate to the iframe's URL directly instead.

If a tool call fails (daemon or extension not ready)

If a tool call can't reach the daemon (connection refused), or the reply isn't the ok envelope above (another program is answering on that port), run start yourself, don't ask the user. It is safe anytime: it no-ops if the daemon is already up. The binary is not on PATH: ~/.kimi-webbridge/bin/kimi-webbridge (Windows: %USERPROFILE%\.kimi-webbridge\bin\kimi-webbridge.exe).

Where the daemon listens is always in start's output, or in kimi-webbridge status (port when it is running, addr when it is not). If it isn't 127.0.0.1:10086, use that address for every call in this task. The config file is only for moving the daemon, never for finding it. Then retry the tool call.

start fails with "did not come up … held by another program" → another program owns the port. Move the daemon: write {"addr":"127.0.0.1:<port>"} (a free port of your choice) to the config file the error names, run start again, then ask the user to point the extension at the new port once (Kimi side panel → Settings → Local agent remote control → Connection address → ws://127.0.0.1:<port>/ws; it remembers).

If it still fails, the binary is missing (command not found means kimi-webbridge isn't installed), or the browser extension won't connect — point the user to the help page instead of deep-troubleshooting:

Never run stop / restart / upgrade / uninstall automatically — those kill a running daemon. When status shows update_available or version_mismatch, tell the user and hand them its command verbatim to run; that is what the field is for. When the user asks about kimi-webbridge itself (install, start/stop/upgrade, "is it running", what status means, moving it to another port), read references/operations.md first.

Version mismatches

If a tool returns an error containing "Please update the Kimi Browser Extension", the user's browser extension is older than this skill. Don't try to reconcile versions yourself — just tell the user, in their language, to update the extension and retry:

© MoonshotAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in plugins/official/kimi-webbridge/skills/kimi-webbridge of MoonshotAI/kimi-code.

  • SKILL.md
  • references/operations.md

Open the folder on GitHubat commit 242ac23

Compare with similar skills

Kimi Webbridge next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Kimi Webbridge compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Kimi Webbridge this skillMoonshotAI/kimi-code7.8k—~3.6kAutomated safety check: PassMIT
Kimi Webbridgemxyhi/ok-skills493—~4.3kAutomated safety check: PassApache-2.0
Neo4ier/neo756—~1.8kAutomated safety check: PassNone
Identify Chrome Deviceshmislk/hmis236—~1.5kAutomated safety check: PassGPL-3.0
Actionbook Browser Action Manualssmallnest/goclaw5991 repos~4.1kAutomated safety check: WarnMIT
Competitor Monitorhanzili/hanzi-browse177—~2.8kAutomated safety check: PassCustom licence

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Questions about Kimi Webbridge

What does Kimi Webbridge do?

Kimi Browser Extension(Kimi 浏览器扩展,原 Kimi WebBridge)lets AI control the user's real browser — navigate, click, type, read, screenshot, and interact with any website using the user's actual login…. Kimi Webbridge is an agent skill from MoonshotAI/kimi-code. Kimi Browser Extension(Kimi 浏览器扩展,原 Kimi WebBridge)lets AI control the user's real browser — navigate, click, type, read, screenshot, and interact with any website using the user's actual login sessions.

When should I use Kimi Webbridge?

Kimi Webbridge fits situations like: the user wants to interact with websites; automate browser tasks; scrape web content; perform any action requiring a real browser.

How do I install Kimi Webbridge in Claude Code?

Run `npx skills add MoonshotAI/kimi-code --skill kimi-webbridge -a claude-code`. Or copy the skill folder (plugins/official/kimi-webbridge/skills/kimi-webbridge in MoonshotAI/kimi-code) into .claude/skills/kimi-webbridge in your project. Claude Code loads it when a task matches its description.

How do I install Kimi Webbridge in Codex?

Run `npx skills add MoonshotAI/kimi-code --skill kimi-webbridge -a codex`. Or copy the skill folder (plugins/official/kimi-webbridge/skills/kimi-webbridge in MoonshotAI/kimi-code) into .agents/skills/kimi-webbridge in your project. Codex loads it when a task matches its description.

Can I use Kimi Webbridge in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add MoonshotAI/kimi-code --skill kimi-webbridge -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kimi-webbridge, .gemini/skills/kimi-webbridge, .github/skills/kimi-webbridge and .opencode/skills/kimi-webbridge in your project.

What does Kimi Webbridge need to run?

Going by SKILL.md and its folder, Kimi Webbridge needs the command-line tools its instructions call (curl).

Does Kimi Webbridge access the network?

SKILL.md names 2 domains. In commands or code: kimi.com and moonshot.cn; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Kimi Webbridge safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Kimi Webbridge use?

Kimi Webbridge is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Kimi Webbridge use?

About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.4k tokens, read only when the agent opens those files.

What are the alternatives to Kimi Webbridge?

Skills that share tags, products or a category with Kimi Webbridge: Kimi Webbridge (mxyhi/ok-skills, 493 stars), Neo (4ier/neo, 756 stars), Identify Chrome Devices (hmislk/hmis, 236 stars) and Actionbook Browser Action Manuals (smallnest/goclaw, 599 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Kimi Webbridge?

MoonshotAI (a GitHub organization) maintains it in MoonshotAI/kimi-code, which has 7,810 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 9, 2026.

Source: MoonshotAI/kimi-code on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.