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Atlassian

Listed
sanjay3290·vlatest·productivity·Apache-2.0

This skill automates Jira tasks like issue creation and updates via API calls, streamlining workflows and boosting developer productivity.

Repository

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 atlassian -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 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/postgres-skill at 281d88df19.

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

Commit
281d88df19
Manifest
skills/atlassian/SKILL.md
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 AI agents to interact with and manage Atlassian products, specifically Jira and Confluence. It can retrieve information from these platforms, update issue statuses, and perform actions based on user requests related to project management workflows. The agent can also create new issues or pages within the Atlassian environment.

When to use it

  • Automate repetitive tasks like updating Jira ticket status based on specific criteria.
  • Quickly retrieve information from Confluence documentation for troubleshooting.
  • Create new Jira issues directly from a user's request, pre-populating fields where possible.
  • Summarize project progress by pulling data from multiple Jira boards.

Key capabilities

  • Jira issue retrieval and updates
  • Confluence page information access
  • Issue creation within Jira
  • Page creation in Confluence

Example prompts

  • "Create a new Jira ticket for 'Database connection error' assigned to the DevOps team."
  • "What is the status of Jira ticket ABC-123?"
  • "Find the latest documentation on API rate limits in Confluence."
  • "Update the priority of issue XYZ-456 to 'High'."

Tips & gotchas

  • Requires appropriate Atlassian credentials and permissions for the AI agent.
  • The skill's effectiveness depends on accurate Jira/Confluence instance URLs being provided.