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Google Chat

Listed
sanjay3290·vlatest·other·Apache-2.0

This skill integrates Google Chat for seamless communication and collaboration within your workflow, boosting team efficiency.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add sanjay3290/ai-skills --skill google-chat -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

sanjay3290

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 2 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 4 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: accounts.google.com, chat.googleapis.com, google-workspace-extension.geminicli.com, www.googleapis.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    google-workspace-extension.geminicli.comundeclaredwww.googleapis.comundeclaredaccounts.google.comundeclaredchat.googleapis.comundeclared

    What it found (3 of 8)

    • skills/google-chat/scripts/auth.py:26contacts google-workspace-extension.geminicli.com
      CLOUD_FUNCTION_URL = "https://google-workspace-extension.geminicli.com"
    • skills/google-chat/scripts/auth.py:35contacts www.googleapis.com
      "https://www.googleapis.com/auth/chat.spaces",
    • skills/google-chat/scripts/auth.py:36contacts www.googleapis.com
      "https://www.googleapis.com/auth/chat.messages",
  • No credential access: failed

    Touches credential material in 1 place.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

    What it found

    • skills/google-chat/scripts/auth.py:72OS keychain / credential manager
      data_str = keyring.get_password(KEYCHAIN_SERVICE, KEYCHAIN_ACCOUNT)
  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned sanjay3290/postgres-skill at 281d88df19.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
6 files, 1,180 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows AI agents to interact with Google Chat spaces. It can send messages, retrieve message history, and potentially perform actions within a chat environment. The agent can be configured to access specific Google Chat spaces based on provided credentials and configurations.

When to use it

  • Team Notifications: Send automated updates or reminders to team members directly in a dedicated Google Chat space.
  • Customer Support: Respond to customer inquiries received through a Google Chat channel, providing quick assistance.
  • Meeting Summaries: Automatically post summaries of meetings and action items to a shared Google Chat space.
  • Data Reporting: Share real-time data dashboards or reports with stakeholders via Google Chat.

Key capabilities

  • Sending messages to Google Chat spaces
  • Retrieving message history from Google Chat spaces
  • Configuration for specific Google Chat spaces

Example prompts

  • "Send a message to the #project-alpha channel saying 'Daily standup in 15 minutes.'"
  • "What were the last five messages posted in the #general chat?"
  • "Post an update about server status to the #operations team."

Tips & gotchas

  • Requires proper Google Chat API credentials and configuration for authentication.
  • Ensure the AI agent has appropriate permissions within the targeted Google Chat spaces.