Skip to content
TrustedSkillsbeta
Back to all skills

Jira AI CLI

Listed
festoinc·v1.0.0·productivity·Apache-2.0

AI-friendly CLI for Jira designed for token efficiency and security. Manage issues, sprints, and projects with significantly fewer tokens than Jira MCP. Restricts AI actions to permitted operations.

Repository

Install on your platform

Showing OpenClaw.

  1. 1

    Run this in your terminal

    terminal
    $ openclaw skills install jira-ai

What we know about this skill

Publisher

festoinc

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

Install target

Pinned to 51fce8c0

Installs fetch a stored snapshot of that commit, so the code can't change after the fact.

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.

  • Declares what it does: failed

    SKILL.md has no YAML frontmatter, so it declares nothing machine-readable.

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

  • No undeclared network calls: failed

    Contacts 7 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.atlassian.com, dotenvx.com, feross.org, opencollective.com, patreon.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

    registry.npmjs.orgpackage registryopencollective.comundeclaredgithub.comsource hostwww.patreon.comundeclaredfeross.orgundeclareddotenvx.comundeclaredpatreon.comundeclaredtidelift.comundeclaredapi.atlassian.comundeclared

    What it found (3 of 37)

    • package-lock.json:702contacts opencollective.com
      "url": "https://opencollective.com/express"
    • package-lock.json:715contacts opencollective.com
      "url": "https://opencollective.com/express"
    • package-lock.json:784contacts opencollective.com
      "url": "https://opencollective.com/express"

  • 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 credential access: passed

    Reads no keys, tokens, keychains or credential files.

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

  • 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 festoinc/jira-ai at cdd5b3b834.

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

Commit
cdd5b3b834
Manifest
SKILL.md
Scanned
60 files, 13,102 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

The Jira AI CLI provides an efficient and secure command-line interface for interacting with Jira instances. It minimizes token consumption by eliminating redundant context data compared to alternatives like Jira MCP, while also allowing strict control over permitted AI actions to ensure environment security. All commands output structured JSON, facilitating integration into automated workflows.

When to use it

  • Automated Issue Management: Create and manage Jira issues programmatically within an agent workflow (e.g., automatically creating tasks based on external events).
  • Hierarchical Analysis: Explore complex issue relationships using the issue tree or sprint tree commands to understand dependencies and project structure.
  • Token-Efficient Automation: When building AI agents that require frequent Jira interactions, reduce costs by minimizing token usage compared to other methods.
  • Secure API Access: Control precisely what actions your AI agent can perform within Jira using the CLI's security features.

Key capabilities

  • Context Efficiency: Reduces token consumption for Jira interactions.
  • Bullet-proof Security: Restricts AI agent actions to permitted operations.
  • JSON Output: All commands return structured JSON data.
  • Issue Hierarchy Trees: Visualize issue parent-child relationships.
  • Sprint Hierarchy Trees: View issues within a sprint organized by hierarchy.
  • Rich Issue Management: Create and manage Jira issues with detailed field support.

Example prompts

  • jira-ai issue get PROJ-123 (Retrieve details for a specific Jira issue)
  • jira-ai project list (List all projects in the connected Jira instance)
  • jira-ai sprint tree 42 --depth 4 --max-nodes 500 (Display the hierarchy of issues within sprint 42, limited to a depth of 4 and 500 nodes.)

Tips & gotchas

  • Authentication requires a JSON file or .env file containing Jira credentials (URL, email, API token). Interactive authentication is not supported.
  • Be mindful of the --depth and --max-nodes parameters when generating hierarchy trees to avoid overwhelming the system with large datasets.

Requirements

Required binaries

node

Tags

jiraproject-managementcliproductivityagilesprints