Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add XyrusCode/ai-sync --skill kimi-webbridgegit clone --depth 1 https://github.com/XyrusCode/ai-syncWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/xyruscode/ai-sync/kimi-webbridge)<a href="https://agentmods.dev/skills/xyruscode/ai-sync/kimi-webbridge"><img src="https://agentmods.dev/badge/skills/xyruscode/ai-sync/kimi-webbridge/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/xyruscode/ai-sync/kimi-webbridge"><img src="https://agentmods.dev/badge/skills/xyruscode/ai-sync/kimi-webbridge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00113 | $0.03203 |
| Opus 5.5 | $0.00045 | $0.01281 |
| Sonnet 5.5 | $0.00023 | $0.00641 |
| Haiku 4.5 | $0.00011 | $0.00320 |
Grade B, and why
kimi-webbridge scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl ... -d '{"action":"screenshot","args":{}}' Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST http://127.0.0.1:10086/command \ This is a copy
97% identical to kimi-webbridge — 68 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kimi WebBridge
Control the user's real browser (with their login sessions) via a local daemon at http://127.0.0.1:10086.
Tools
| Tool | Args | Returns | Note |
|---|---|---|---|
navigate |
url, newTab(bool), group_title |
{success, url, tabId} |
First call opens a tab — see Tabs. group_title sets the group's visible label |
find_tab |
url, 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 refs |
Accessibility tree (text) — use this to read page content and locate elements |
click |
selector (@e ref or CSS) |
{success, tag, text} |
Synthetic el.click() |
fill |
selector, value |
{success, tag, mode} |
Works on <input>/<textarea> AND [contenteditable] (ProseMirror/Lexical/Slate). mode is "value" or "contenteditable" |
evaluate |
code (supports async/await) |
{type, value} |
|
cdp |
method, params |
raw CDP response | Raw chrome.debugger passthrough — what evaluate is to JS, cdp is to CDP. Low-level escape hatch for cases the tools above don't cover |
screenshot |
format(png|jpeg), quality(0-100), optional selector (@e/CSS), optional path |
{format, path, sizeBytes, mimeType} |
Returns a file path, not base64 — see Screenshots |
network |
cmd(start|stop|list|detail), filter, requestId |
request/response data | |
upload |
selector, files(string[]) |
{success, fileCount} |
|
save_as_pdf |
paper_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 |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 178 lines · 113 tokens per session scan B 6a2ab08680d9
kimi-webbridge is a skill published in the GitHub repository XyrusCode/ai-sync (2 stars, last pushed 18d ago), licensed MIT. It adds 113 tokens to every session and 3,203 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). It is 97% identical to kimi-webbridge, differing in 68 lines, and is treated as a copy.
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