atlassian-agent

v0.27.0 suspicious
4.0
Medium Risk

Comprehensive AI agent for Jira and Confluence management.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some potential risks that require further investigation, particularly concerning network interactions and shell commands execution, though no definitive signs of malicious activity have been identified.

  • network risk due to API interaction
  • shell risk from git command usage
Per-check LLM notes
  • Network: The use of a session with a Bearer token suggests API interaction, which is common but should be reviewed to ensure proper authorization and no unauthorized data transfer.
  • Shell: Executing 'git ls-files' might be part of version control operations within the package, but it could also indicate unintended file manipulation or information gathering.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has some red flags including a non-secure external link and an author with limited details, but no clear evidence of typosquatting.

📦 Package Quality Overall: Medium (5.2/10)

✦ High Test Suite 9.0

Test suite present — 10 test file(s) found

  • Test runner config found: conftest.py
  • 10 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (21896 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 450 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • _token self.session = requests.Session() if bearer_token: # OIDC delegation or
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • h): try: result = subprocess.run( ["git", "ls-files", "--cached", "--others", "--
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://atlassian-agent-mcp:8000/mcp
✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with atlassian-agent 
Create a comprehensive project management tool named 'JiraConfluenceSync' that integrates seamlessly with both Jira and Confluence using the Atlassian Agent package. This tool aims to automate several common tasks, streamline workflows, and provide insights into project progress and document management.

### Key Features:
1. **Issue Synchronization**: Automatically sync issues between Jira and Confluence. When a new issue is created in Jira, a corresponding page is created in Confluence detailing the issue description, assignee, and status updates. Conversely, if a Confluence page is updated with specific tags indicating an issue update, the Jira ticket should reflect these changes.
2. **Document Management**: Allow users to create, edit, and delete pages in Confluence directly from Jira tickets. Users should be able to attach relevant documents, images, or links to Jira tickets which then appear as attachments in the corresponding Confluence page.
3. **Reporting Dashboard**: Develop a dashboard within Confluence that provides real-time insights into project statuses, including issue counts by status, recent activity logs, and team member contributions. This dashboard should be dynamically generated based on data pulled from Jira.
4. **Custom Workflows**: Implement customizable workflows where users can define their own transition rules for issues in Jira. These rules could trigger automatic actions such as creating a checklist in Confluence or updating a project plan document.
5. **Notifications & Alerts**: Set up notification systems to alert stakeholders about critical events like issue creation, updates, or completion. Notifications should be configurable, allowing users to choose preferred methods of communication (email, Slack, etc.).

### How to Use the Atlassian Agent Package:
- Utilize the `atlassian-agent` package to authenticate with both Jira and Confluence APIs efficiently. Ensure secure handling of credentials.
- Leverage the package’s ability to handle complex requests and responses to manage data flow between Jira and Confluence.
- Implement event listeners and webhooks provided by the package to trigger actions based on user activities or system events.
- Use the package’s documentation and community support to troubleshoot any integration issues and enhance functionality over time.

Your task is to design and implement this tool, ensuring it is user-friendly, efficient, and scalable. Consider adding additional features that could further enhance collaboration and productivity among project teams.

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