Close the Loop on ZenTao Bugs and Tasks with at-zentao

Where this fits

You've just pushed a fix for ZT-452, and now the agent that wrote the code needs to update the bug in ZenTao: set status to "Resolved," log the hours, and link the commit. Doing this by hand in the browser is slow and error-prone. The at-zentao skill gives your agent a secure CLI boundary to read and write ZenTao items end to end, so the post-implementation sync happens automatically, without exposing credentials or raw API responses.

Why agents benefit

• Write-back after code changes: The agent can mark a bug as resolved or a task as completed, then attach a note or commit reference—no manual copy-paste from the terminal into ZenTao.
• Time tracking in-context: Update remaining hours and consumed hours on tasks directly from the agent's workflow, keeping sprint boards accurate without a separate time-entry tool.
• Linked story awareness: When working on a bug or task, the agent can read the linked story (requirement) to understand context, acceptance criteria, or related scope—without switching tools.
• Bulk operations: List all bugs or tasks, or export a specific item as structured JSON, which is useful for generating reports, summaries, or cross-referencing with the codebase.
• Security-by-construction: The skill bundles a CLI that handles token exchange and config reads. The agent never sees raw credentials or constructs auth headers, reducing leak risk.

Practical scenarios

Post-fix bug resolution

The agent fixes a bug, runs tests, then calls at-zentao bug 452 resolved with a comment containing the commit hash. The CLI updates the status, adds the comment, and returns the new state. The agent confirms the change and moves on.

Task hour adjustment mid-sprint

A task took longer than estimated. The agent reads the current task state, updates consumed hours to 6.5 and left to 1.5, then records the reason. The sprint burndown reflects reality without human intervention.

Story-driven feature implementation

Before writing code for a task, the agent calls at-zentao story 120 to pull the linked story's description and acceptance criteria. It uses that to shape the implementation and later references the story ID in the commit message.

Add it to your agent workflow

Install the skill with:

npx skills add kairyou/agent-tools --skill at-zentao

Then, in your agent's instructions or prompt, invoke it like:

Use at-zentao to update bug 452: set status to resolved, add comment "Fixed in commit abc123", and set consumed hours to 3.

The agent will resolve the skill root and run the CLI securely. For a full command reference, see the skill's README or check the listing at https://www.openagentskill.com/skills/kairyou-at-zentao.

Compare before adopting

Before wiring this into your agent, evaluate: Quality signals—check the GitHub repo's stars (177 at time of writing), recent commits, and whether the maintainer responds to issues. Maintenance freshness—is the CLI compatible with your ZenTao version? Look for release dates and changelogs. Alternatives—consider direct REST calls via a custom tool, but weigh the added security risk and setup overhead. Workflow fit—does your team actually use ZenTao for time tracking and status transitions? If you only need read-only access, a lighter approach might suffice.

Why it is worth tracking

This skill is a practical, narrow solution to a real pain point: closing the loop between code and project tracking. The author has packaged it with a security-conscious design (CLI boundary) that aligns with agent best practices. With 177 stars and a clear README, it shows community interest and a maintained baseline. Track it if your stack includes ZenTao; even if you don't adopt it today, it's a good reference for how to structure agent-access tools for internal systems.