atlassian-readonly-skills

name	atlassian-readonly-skills
description	Read-only Python utilities for Jira, Confluence, and Bitbucket integration. Provides read access to issues, search, workflows, pages, pull requests, commit history, and more. Use when users need to query Atlassian products like "get a Jira issue", "search Confluence pages", "view pull request details", or "get commit history". This variant excludes all write operations for token efficiency and safety.
license	Complete terms in LICENSE

Atlassian Readonly Skills

Read-only Python utilities for Jira, Confluence, and Bitbucket integration, supporting both Cloud and Data Center deployments.

Note: This is a read-only variant that excludes all write operations (create, update, delete). For full functionality including write operations, use atlassian-skills.

FieldWorks / SIL JIRA Integration

LT-prefixed tickets (e.g., LT-22382, LT-19288) are JIRA issues from SIL's JIRA instance:

• Base URL: https://jira.sil.org
• Browse URL: https://jira.sil.org/browse/LT-XXXXX
• Project key: LT (Language Technology)

Trigger patterns: Use this skill when you see:

• LT-prefixed identifiers in user queries, code comments, commit messages, or git log output
• References to jira.sil.org URLs
• Requests to "look up" or "check" a JIRA ticket

⚠️ Critical: Always Use Python Scripts

NEVER attempt to:

• Browse to jira.sil.org URLs directly (requires authentication)
• Use fetch_webpage or similar tools on JIRA URLs
• Use GitHub issue tools for LT-* tickets

ALWAYS use these Python modules. The scripts are Python modules (not CLI tools), so use them via inline Python or import:

# Get a single issue (inline Python one-liner)
python -c "import sys; sys.path.insert(0, '.github/skills/atlassian-readonly-skills/scripts'); from jira_issues import jira_get_issue; print(jira_get_issue('LT-22382'))"

# Search for issues (JQL query)
python -c "import sys; sys.path.insert(0, '.github/skills/atlassian-readonly-skills/scripts'); from jira_search import jira_search; print(jira_search('project = LT AND status = Open'))"

# Get issue workflow transitions
python -c "import sys; sys.path.insert(0, '.github/skills/atlassian-readonly-skills/scripts'); from jira_workflow import jira_get_transitions; print(jira_get_transitions('LT-22382'))"

Use the script modules in this skill directly.

Configuration

Two configuration modes are supported:

Mode 1: Environment Variables (Traditional)

Set environment variables based on your deployment type. This mode is used when credentials parameter is not provided to skill functions.

SIL JIRA (Data Center / PAT Token)

# SIL JIRA instance for LT-* tickets
JIRA_URL=https://jira.sil.org
# Personal Access Token - generate at: https://jira.sil.org/secure/ViewProfile.jspa → Personal Access Tokens
JIRA_PAT_TOKEN=your_jira_pat_token_here

Cloud (API Token)

# Jira Cloud
JIRA_URL=https://your-company.atlassian.net
JIRA_USERNAME=[e-mail]
JIRA_API_TOKEN=your_api_token

# Confluence Cloud
CONFLUENCE_URL=https://your-company.atlassian.net/wiki
CONFLUENCE_USERNAME=[e-mail]
CONFLUENCE_API_TOKEN=your_api_token

Generate API tokens at: https://id.atlassian.com/manage-profile/security/api-tokens

Data Center / Server (PAT Token)

# Jira Data Center
JIRA_URL=https://jira.your-company.com
JIRA_PAT_TOKEN=your_pat_token

# Confluence Data Center
CONFLUENCE_URL=https://confluence.your-company.com
CONFLUENCE_PAT_TOKEN=your_pat_token

# Bitbucket Server/Data Center
BITBUCKET_URL=https://bitbucket.your-company.com
BITBUCKET_PAT_TOKEN=your_pat_token

Note: PAT Token takes precedence if both are provided.

Mode 2: Parameter-Based (Agent Environments)

Alternatively, call the scripts in this skill directly.

Create credentials object

credentials = AtlassianCredentials( # Jira configuration jira_url="https://your-company.atlassian.net", jira_username="[e-mail]", jira_api_token="your_api_token",

# Confluence configuration (optional)
confluence_url="https://your-company.atlassian.net/wiki",
confluence_username="[e-mail]",
confluence_api_token="your_api_token",

# Bitbucket configuration (optional)
# bitbucket_url="https://bitbucket.your-company.com",
# bitbucket_pat_token="your_pat_token"

)

Check which services are available

availability = check_available_skills(credentials) print(availability["available_services"]) # ["jira", "confluence"] print(availability["unavailable_services"]) # {"bitbucket": "Missing bitbucket_url"}

Use skills with credentials parameter

result = jira_get_issue( issue_key="PROJ-123", credentials=credentials # Pass credentials here )

#### Partial Service Configuration

You can configure only the services you need. Services without complete credentials will be unavailable:

```python
# Only configure Jira
credentials = AtlassianCredentials(
    jira_url="https://your-company.atlassian.net",
    jira_username="[e-mail]",
    jira_api_token="your_api_token"
)

# Jira skills will work
jira_get_issue("PROJ-123", credentials=credentials)  # ✓ Works

# Confluence/Bitbucket skills will fail with ConfigurationError
confluence_get_page("Page Title", "SPACE", credentials=credentials)  # ✗ Fails

For credentials object fields and authentication options, see the full documentation in atlassian-skills.

Core Workflow

Using Environment Variables

from scripts.jira_issues import jira_get_issue
from scripts.jira_search import jira_search
from scripts.confluence_pages import confluence_get_page
import json

# 1. Get a Jira issue
result = jira_get_issue(issue_key="PROJ-123")
issue = json.loads(result)
print(f"Issue: {issue['key']} - {issue['summary']}")

# 2. Search for issues
result = jira_search(
    jql="project = PROJ AND status = 'In Progress'",
    fields="summary,status,assignee",
    limit=50
)
issues = json.loads(result)

# 3. Get a Confluence page
result = confluence_get_page(title="Feature Documentation", space_key="DEV")
page = json.loads(result)
print(f"Page: {page['title']}")

Using Credentials Parameter (Agent Mode)

from scripts._common import AtlassianCredentials
from scripts.jira_issues import jira_get_issue
from scripts.jira_search import jira_search
from scripts.confluence_pages import confluence_get_page
import json

# Create credentials
credentials = AtlassianCredentials(
    jira_url="https://company.atlassian.net",
    jira_username="[e-mail]",
    jira_api_token="token123",
    confluence_url="https://company.atlassian.net/wiki",
    confluence_username="[e-mail]",
    confluence_api_token="token123"
)

# 1. Get a Jira issue with credentials
result = jira_get_issue(
    issue_key="PROJ-123",
    credentials=credentials
)
issue = json.loads(result)

# 2. Search for issues with credentials
result = jira_search(
    jql="project = PROJ AND status = 'In Progress'",
    fields="summary,status,assignee",
    limit=50,
    credentials=credentials
)

# 3. Get a Confluence page with credentials
result = confluence_get_page(
    title="Feature Documentation",
    space_key="DEV",
    credentials=credentials
)

Available Utilities

Jira Issue Management (scripts.jira_issues)

from scripts.jira_issues import jira_get_issue

# Get issue by key
jira_get_issue(
    issue_key="PROJ-123",
    credentials=credentials  # Optional
)

Jira Search (scripts.jira_search)

from scripts.jira_search import jira_search, jira_search_fields

# Search with JQL
jira_search(
    jql="project = PROJ AND status = 'In Progress'",
    fields="summary,status,assignee",
    limit=50
)

# Find field definitions
jira_search_fields(keyword="custom")

Jira Workflow (scripts.jira_workflow)

from scripts.jira_workflow import jira_get_transitions

# Get available transitions for an issue
jira_get_transitions(issue_key="PROJ-123")

Jira Agile (scripts.jira_agile)

from scripts.jira_agile import (
    jira_get_agile_boards,
    jira_get_board_issues,
    jira_get_sprints_from_board,
    jira_get_sprint_issues
)

# Get boards
jira_get_agile_boards(project_key="PROJ")

# Get issues on a board
jira_get_board_issues(board_id=1, jql="status = 'In Progress'")

# Get sprints from a board
jira_get_sprints_from_board(board_id=1, state="active")

# Get issues in a sprint
jira_get_sprint_issues(sprint_id=42)

Jira Links (scripts.jira_links)

from scripts.jira_links import jira_get_link_types

# Get available link types
jira_get_link_types()

Jira Worklog (scripts.jira_worklog)

from scripts.jira_worklog import jira_get_worklog

# Get worklog entries for an issue
jira_get_worklog(issue_key="PROJ-123")

Jira Projects (scripts.jira_projects)

from scripts.jira_projects import (
    jira_get_all_projects,
    jira_get_project_issues,
    jira_get_project_versions
)

# Get all projects
jira_get_all_projects()

# Get issues in a project
jira_get_project_issues(project_key="PROJ", limit=100)

# Get project versions
jira_get_project_versions(project_key="PROJ")

Jira Users (scripts.jira_users)

from scripts.jira_users import jira_get_user_profile

# Get user profile
jira_get_user_profile(user_identifier="[e-mail]")

Confluence Pages (scripts.confluence_pages)

from scripts.confluence_pages import confluence_get_page

# Get page by title
confluence_get_page(title="Meeting Notes", space_key="TEAM")

# Get page by ID
confluence_get_page(page_id="12345")

Confluence Search (scripts.confluence_search)

from scripts.confluence_search import confluence_search

# Search with CQL
confluence_search(
    query="space = DEV AND type = page AND text ~ 'API'",
    limit=25
)

Confluence Comments (scripts.confluence_comments)

from scripts.confluence_comments import confluence_get_comments

# Get comments on a page
confluence_get_comments(page_id="12345")

Confluence Labels (scripts.confluence_labels)

from scripts.confluence_labels import confluence_get_labels

# Get labels on a page
confluence_get_labels(page_id="12345")

Bitbucket Projects (scripts.bitbucket_projects)

from scripts.bitbucket_projects import (
    bitbucket_list_projects,
    bitbucket_list_repositories
)

# List all projects
bitbucket_list_projects(limit=25)

# List repositories in a project
bitbucket_list_repositories(project_key="PROJ", limit=50)

Bitbucket Pull Requests (scripts.bitbucket_pull_requests)

from scripts.bitbucket_pull_requests import (
    bitbucket_get_pull_request,
    bitbucket_get_pr_diff
)

# Get PR details
bitbucket_get_pull_request(
    project_key="PROJ",
    repository_slug="my-repo",
    pr_id=123
)

# Get PR diff
bitbucket_get_pr_diff(
    project_key="PROJ",
    repository_slug="my-repo",
    pr_id=123
)

Bitbucket Files & Search (scripts.bitbucket_files)

from scripts.bitbucket_files import (
    bitbucket_get_file_content,
    bitbucket_search
)

# Get file content
bitbucket_get_file_content(
    project_key="PROJ",
    repository_slug="my-repo",
    file_path="src/main.py",
    branch="develop"
)

# Search code
bitbucket_search(
    query="def authenticate",
    project_key="PROJ",
    search_type="code",
    limit=25
)

Bitbucket Commits (scripts.bitbucket_commits)

from scripts.bitbucket_commits import (
    bitbucket_get_commits,
    bitbucket_get_commit
)

# Get recent commits from a branch
bitbucket_get_commits(
    project_key="PROJ",
    repository_slug="my-repo",
    branch="master",
    limit=10
)

# Get details of a specific commit
bitbucket_get_commit(
    project_key="PROJ",
    repository_slug="my-repo",
    commit_id="1da11eaec25aed8b251de24841885c91493b3173"
)

Response Data Structures

All functions return JSON strings with flattened data structures (not nested API responses).

Jira Issue Structure

{
  "key": "PROJ-123",
  "id": "10001",
  "summary": "Issue title",
  "description": "Issue description",
  "status": "In Progress",
  "issue_type": "Task",
  "priority": "High",
  "assignee": "[e-mail]",
  "reporter": "[e-mail]",
  "created": "2024-01-15T10:30:00.000+0000",
  "updated": "2024-01-16T14:20:00.000+0000",
  "labels": ["backend", "urgent"],
  "components": ["API", "Auth"],
  "custom_fields": {}
}

Confluence Page Structure

{
  "id": "12345",
  "title": "Page Title",
  "space_key": "DEV",
  "status": "current",
  "created": "2024-01-15T10:30:00.000Z",
  "updated": "2024-01-16T14:20:00.000Z",
  "author": "[e-mail]",
  "version": 3,
  "url": "https://company.atlassian.net/wiki/spaces/DEV/pages/12345"
}

Note: These are simplified structures. The original Jira API returns nested data like {"key": "...", "fields": {"summary": "...", "status": {"name": "..."}}}, but this skill flattens it for easier use.

Error Handling

All functions return JSON strings. Check for errors:

import json

result = jira_get_issue(issue_key="PROJ-999")
data = json.loads(result)

if not data.get("success", True):
    print(f"Error: {data['error']}")
    print(f"Type: {data['error_type']}")
else:
    print(f"Issue: {data['key']}")

Error Types

• ConfigurationError - Missing environment variables
• AuthenticationError - Invalid credentials
• ValidationError - Invalid input parameters
• NotFoundError - Resource not found
• APIError - Atlassian API error
• NetworkError - Connection issues

Philosophy

This skill provides:

• Read-Only Access: Query and retrieve data without modification
• Token Efficiency: Reduced context size by excluding write operations
• Safety: Prevents accidental data modifications
• Flexibility: Support for both Cloud and Data Center deployments
• Consistency: Unified error handling and response format

It does NOT provide:

• Write operations (create, update, delete)
• Direct API access (use the provided functions instead)
• Webhook handling or event processing
• Bulk import/export operations

Best practices:

• Always check return values for errors
• Use JQL/CQL for efficient searching
• For write operations, use the full atlassian-skills package

Dependencies

pip install requests python-dotenv

Or use the requirements file:

pip install -r requirements.txt