AI Search Hub
minsight-ai-info/AI-Search-Hub
Run the AI Search Hub browser automation scripts for Yuanbao, LongCat, Doubao, Qwen, Gemini, Grok, and MiniMax.
Identify and name Chrome instances connected to the Claude-in-Chrome extension under the current Claude account, and persist a stable deviceId - name mapping to a local file outside the repo.
$ npx skills add hmislk/hmis --skill identify-chrome-devices -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hmislk/hmis identify-chrome-devices --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/hmislk/hmis.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/identify-chrome-devices .claude/skills/identify-chrome-devices && rm -rf skills-srcUse ~/.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/
Install the "identify-chrome-devices" agent skill from https://github.com/hmislk/hmis/tree/development/.claude/skills/identify-chrome-devices into .claude/skills/identify-chrome-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "identify-chrome-devices", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/hmislk/hmis/tree/development/.claude/skills/identify-chrome-devicesType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add hmislk/hmis --skill identify-chrome-devices -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hmislk/hmis identify-chrome-devices --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hmislk/hmis.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/identify-chrome-devices .agents/skills/identify-chrome-devices && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "identify-chrome-devices" agent skill from https://github.com/hmislk/hmis/tree/development/.claude/skills/identify-chrome-devices into .agents/skills/identify-chrome-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "identify-chrome-devices", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hmislk/hmis --skill identify-chrome-devices -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hmislk/hmis identify-chrome-devices --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hmislk/hmis.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/identify-chrome-devices .cursor/skills/identify-chrome-devices && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "identify-chrome-devices" agent skill from https://github.com/hmislk/hmis/tree/development/.claude/skills/identify-chrome-devices into .cursor/skills/identify-chrome-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "identify-chrome-devices", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/hmislk/hmis.git --path .claude/skills/identify-chrome-devices--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hmislk/hmis --skill identify-chrome-devices -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hmislk/hmis identify-chrome-devices --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hmislk/hmis.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/identify-chrome-devices .gemini/skills/identify-chrome-devices && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "identify-chrome-devices" agent skill from https://github.com/hmislk/hmis/tree/development/.claude/skills/identify-chrome-devices into .gemini/skills/identify-chrome-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "identify-chrome-devices", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install hmislk/hmis identify-chrome-devicesInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add hmislk/hmis --skill identify-chrome-devices -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hmislk/hmis.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/identify-chrome-devices .github/skills/identify-chrome-devices && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "identify-chrome-devices" agent skill from https://github.com/hmislk/hmis/tree/development/.claude/skills/identify-chrome-devices into .github/skills/identify-chrome-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "identify-chrome-devices", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hmislk/hmis --skill identify-chrome-devices -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hmislk/hmis identify-chrome-devices --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hmislk/hmis.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/identify-chrome-devices .opencode/skills/identify-chrome-devices && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "identify-chrome-devices" agent skill from https://github.com/hmislk/hmis/tree/development/.claude/skills/identify-chrome-devices into .opencode/skills/identify-chrome-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "identify-chrome-devices", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
identify-chrome-devicesIdentify and name Chrome instances connected to the Claude-in-Chrome extension under the current Claude account, and persist a stable deviceId - name mapping to a local file outside the repo.
Identify Chrome Devices is an agent skill from hmislk/hmis. Identify and name Chrome instances connected to the Claude-in-Chrome extension under the current Claude account, and persist a stable deviceId - name mapping to a local file outside the repo. Use when the user asks to "identify my chrome devices", "name my browsers", wants to disambiguate listconnectedbrowsers output, or invokes /identify-chrome-devices. Requires a session with the Claude-in-Chrome extension actually connected — see developerdocs/tools/claude-in-chrome-device-identification.md for background and…
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Productivity & Automation, covering Browser extensions, Browser automation and Browser testing. It works with Chrome Extensions and Playwright. The repository describes itself as: This is an Open Source Java EE based Hospital Information Management System. The licence is GPL-3.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d5d2020. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Identify Chrome Devices loads about 1.5k tokens when it runs. Until then it costs about 154 tokens; SKILL.md has 776 words of instructions outside code blocks.
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.
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.
The full file from hmislk/hmis at commit d5d2020, republished under its GPL-3.0 licence (© hmislk). 776 words, ~1,537 tokens.
.claude/skills/identify-chrome-devices/SKILL.md (or your agent's skills folder).Automates the manual workaround from
developer_docs/tools/claude-in-chrome-device-identification.md:
loop through every deviceId the current Claude account can see, help the
user confirm which physical device each one is, and record the result to a
local mapping file — so this doesn't have to be done by hand in-chat every
time a new device connects.
Before running this: confirm the task genuinely needs Claude-in-Chrome.
For ordinary browser automation/testing, use Playwright (playwright-e2e
skill) instead — it's cheaper and more flexible. This skill exists only
because identifying a user's already-paired physical devices is something
Playwright cannot do (it launches its own separate browser, with no
visibility into paired Claude-in-Chrome devices).
Confirm list_connected_browsers, select_browser, and javascript_tool
are actually available in this session (check the active tool list /
deferred-tool search). If they aren't, this session isn't connected to the
Claude-in-Chrome extension — tell the user this skill must be run from a
session that has it connected, and stop here.
Use select_browser, not switch_browser, throughout this skill:
select_browser(deviceId) targets a known device directly.
switch_browser is a different tool — it broadcasts a pairing prompt to
every connected device and waits for the user to manually click
"Connect", and does not accept a deviceId to target one device. It has
no role in this automated loop.
Determine the local mapping file path for the current OS:
C:\Credentials\claude-chrome-devices.json~/.config/hmis/claude-chrome-devices.jsonIf it exists, read and parse it. If it doesn't exist yet, treat the map as empty — it will be created in Step 4. Never look for or write this file anywhere inside the project repo.
Call list_connected_browsers. For each returned deviceId, check it
against the loaded map:
name entry) → skip by default, no need to
re-prompt. Exception: if the user asked to re-verify a specific
device, or to re-verify everything (e.g. "re-check my devices"), include
already-known devices in the work list too — that's the only path that
reaches the lastConfirmed update in Step 3.If the work list is empty, report the existing mapping to the user (Step 5) and stop — nothing new to identify or re-verify.
For each deviceId in the work list, in turn:
select_browser with that deviceId to make it the active device.javascript_tool to inject a full-viewport banner
showing the raw deviceId as large, plain text on the page — nothing
else needed on the page for this to work.AskUserQuestion to ask the user to physically check that device's
screen and confirm: is this the device they expect, and what name
should it be given (e.g. "Home laptop", "Office desktop", "DC server 2")?
Let them decline/skip a device if they don't recognize it right now.{
"deviceId": "<the deviceId>",
"name": "<user-supplied name>",
"osPlatform": "<from list_connected_browsers>",
"isLocal": <from list_connected_browsers>,
"identifiedUnderAccount": "<current Claude account, e.g. email>",
"firstIdentified": "<today's date>",
"lastConfirmed": "<today's date>"
}lastConfirmed (and name, if the user gave a different one) in
place — never create a duplicate entry for a deviceId already in
the map.Before writing, re-read the local file — if it changed since Step 1 (e.g. another session identified devices in the meantime), merge those entries into the in-memory map first rather than silently discarding them.
Write the full updated {"devices": [...]} map as JSON to a temporary file
in the same directory (creating the directory first if it doesn't exist),
confirm it parses back as valid JSON, then rename it over the target file.
This avoids leaving an unreadable half-written file if the write is
interrupted.
Print a deviceId -> name table for every device now in the mapping
(known + newly identified this run) so the user has a single confirmation
of the current state. Remind them the file lives at the OS-specific path
above, outside the repo, and is never committed.
list_connected_browsers only sees devices connected under the Claude
account driving the current session. If the user has devices under more
than one account, this skill needs to be run once per account — the same
local mapping file accumulates entries across runs, with each entry's
identifiedUnderAccount recording which account identified it. Anthropic's
docs don't confirm deviceId is globally unique across accounts, so if the
same deviceId shows up under two accounts with different names, flag it
to the user rather than silently overwriting one with the other.
© hmislk, GPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/identify-chrome-devices of hmislk/hmis.
Open the folder on GitHubat commit d5d2020
Identify Chrome Devices 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Identify Chrome Devices this skillhmislk/hmis | 236 | — | ~1.5k | Automated safety check: Pass | GPL-3.0 | |
| AI Search Hubminsight-ai-info/AI-Search-Hub | 1.3k | — | ~1.3k | Automated safety check: Pass | None | |
| Ego Browserkwakseongjae/oh-my-design | 531 | 2 repos | ~4.9k | Automated safety check: Pass | MIT | |
| Browser Controlanomalyco/browser-control | 440 | — | ~8.3k | Automated safety check: Pass | MIT | |
| Playwright Bowserdisler/bowser | 265 | — | ~1.1k | Automated safety check: Notes | None | |
| Vrboborski/travel-hacking-toolkit | 688 | — | ~1.7k | Automated safety check: Pass | MIT |
minsight-ai-info/AI-Search-Hub
Run the AI Search Hub browser automation scripts for Yuanbao, LongCat, Doubao, Qwen, Gemini, Grok, and MiniMax.
kwakseongjae/oh-my-design
When you need a browser, read this Skill by default. An agent skill from kwakseongjae/oh-my-design.
anomalyco/browser-control
Drive the user's existing Chromium-family browser with deterministic Playwright.
disler/bowser
Headless browser automation using Playwright CLI. An agent skill from disler/bowser.
borski/travel-hacking-toolkit
Search VRBO (Vrbo / Expedia Group) vacation rentals including entire homes, condos, and cabins via Patchright browser automation.
secondsky/sap-skills
A skill your agent uses when an agent must inspect or operate an authenticated SAP web UI through an in-app Browser, Microsoft Edge CDP, or an existing Playwright client, especially when SAP SSO…
hmislk/hmis
Reference for calling existing HMIS REST APIs. An agent skill from hmislk/hmis.
hmislk/hmis
Application configuration options reference for the HMIS project.
hmislk/hmis
Ultra-compressed communication mode. An agent skill from hmislk/hmis.
hmislk/hmis
MySQL database development guide for the HMIS project. An agent skill from hmislk/hmis.
hmislk/hmis
A skill your agent uses when asked to make a demo, training, how-to or tutorial video with sound or voice-over showing an HMIS function or configuration (e.g.
hmislk/hmis
Sync development into QA/testing environment branches (QA1-QA4, local RH staging) via PR + merge on GitHub.
Works with
Identify and name Chrome instances connected to the Claude-in-Chrome extension under the current Claude account, and persist a stable deviceId - name mapping to a local file outside the repo. Identify Chrome Devices is an agent skill from hmislk/hmis. Identify and name Chrome instances connected to the Claude-in-Chrome extension under the current Claude account, and persist a stable deviceId - name mapping to a local file outside the repo.
Identify Chrome Devices fits situations like: the user asks to identify my chrome devices; name my browsers; wants to disambiguate listconnectedbrowsers output; invokes /identify-chrome-devices.
Run `npx skills add hmislk/hmis --skill identify-chrome-devices -a claude-code`. Or copy the skill folder (.claude/skills/identify-chrome-devices in hmislk/hmis) into .claude/skills/identify-chrome-devices in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hmislk/hmis --skill identify-chrome-devices -a codex`. Or copy the skill folder (.claude/skills/identify-chrome-devices in hmislk/hmis) into .agents/skills/identify-chrome-devices in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hmislk/hmis --skill identify-chrome-devices -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/identify-chrome-devices, .gemini/skills/identify-chrome-devices, .github/skills/identify-chrome-devices and .opencode/skills/identify-chrome-devices in your project.
SKILL.md names no scripts, command-line tools or credentials: Identify Chrome Devices is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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.
Identify Chrome Devices is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Identify Chrome Devices: AI Search Hub (minsight-ai-info/AI-Search-Hub, 1.3k stars), Ego Browser (kwakseongjae/oh-my-design, 531 stars), Browser Control (anomalyco/browser-control, 440 stars) and Playwright Bowser (disler/bowser, 265 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hmislk (a GitHub organization) maintains it in hmislk/hmis, which has 236 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 8, 2026.
Source: hmislk/hmis on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.