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sanjay3290·v1.0.0·productivity·Apache-2.0

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Install on your platform

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  1. 1

    Run this in your terminal

    terminal
    $ 

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 3 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: cf.mcp.atlassian.com, id.atlassian.com, mcp.atlassian.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

    mcp.atlassian.comundeclaredcf.mcp.atlassian.comundeclaredid.atlassian.comundeclared

    What it found (3 of 7)

    • skills/atlassian/scripts/auth.py:45contacts mcp.atlassian.com
      OAUTH_METADATA_URL = "https://mcp.atlassian.com/.well-known/oauth-authorization-server"
    • skills/atlassian/scripts/auth.py:47contacts mcp.atlassian.com
      OAUTH_AUTHORIZE_URL = "https://mcp.atlassian.com/v1/authorize"
    • skills/atlassian/scripts/auth.py:49contacts mcp.atlassian.com
      MCP_ENDPOINT = "https://mcp.atlassian.com/v1/mcp"
  • 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/atlassian/scripts/auth.py:90OS 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/ai-skills at 281d88df19.

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

Scanned
7 files, 2,908 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 you to interact with Atlassian products, specifically Jira and Confluence. It can retrieve information from these platforms, such as issue details in Jira or page content in Confluence, based on provided identifiers (issue keys or page IDs). The skill also enables creating new issues in Jira, allowing for automated task creation within your workflow.

When to use it

  • Automated Issue Reporting: Create a Jira issue directly from an external system when a specific event occurs (e.g., website downtime triggers a bug report).
  • Knowledge Base Retrieval: Quickly find relevant documentation in Confluence by referencing page IDs or titles within other applications.
  • Issue Status Updates: Programmatically update the status of existing Jira issues based on data from another source.
  • Team Collaboration: Automatically create tasks for team members based on incoming requests, directly logged into Jira.

Key capabilities

  • Retrieves issue details from Jira using issue keys.
  • Retrieves page content from Confluence using page IDs.
  • Creates new issues in Jira with specified fields (summary, description, assignee, etc.).
  • Supports authentication to Atlassian instances.

Example prompts

  • "Get the details for JIRA-123."
  • "Create a new Jira issue with summary 'Broken Link' and description 'Link on homepage is broken.'"
  • "Retrieve the content of Confluence page ID 12345."

Tips & gotchas

  • You will need to provide authentication credentials (API token or username/password) for your Atlassian instance.
  • Ensure you have the necessary permissions within Jira and Confluence to perform the requested actions (e.g., create issues, access pages).