Manage Testany Executions Without Losing the Thread

Where this fits

You just triggered a Testany pipeline from an agent or CI, and now you need to know whether it is still running, already failed, or stuck waiting. Without an execution-management skill, the agent can only ask the user to open a dashboard or guess from stale logs. testany-execution gives the agent a structured way to observe, refresh, cancel, and hand off executions.

Why agents benefit

• Resolve execution state with testany_list_executions and testany_get_execution, so actions are based on current data, not assumptions.
• Poll and refresh until a terminal state, allowing long-running pipeline loops to continue only when a conclusion exists.
• Cancel pending executions before they consume compute, useful after duplicate triggers or wrong parameter sets.
• Retrieve case-level details and log signatures, so failure handoff to testany-debug includes concrete context.
• Keep lifecycle responsibilities clear: this skill does not create triggers; it manages what happens after an execution is launched.

Practical scenarios

Following a long-running execution from an agent loop

A developer asks what the status of Y2K-0601-0000B is. The agent fetches execution detail, reports the current stage and case counts, then refreshes until the pipeline reaches a terminal state instead of forcing the developer to check manually.

Cancelling a duplicate queued run

After an accidental double-trigger, two executions are pending. The agent lists recent executions, identifies the duplicate, and cancels the one that has not started, saving pipeline time and reducing noise.

Handing failed cases to debug

An execution completes with failures. The agent calls testany_get_execution_case to collect relevant case results and log entry points, then passes that context to the testany-debug skill for root-cause analysis. The user gets one connected narrative instead of a disconnected failure dump.

Add it to your agent workflow

Install the skill:

npx skills add TestAny-io/testany-agent-skills --skill testany-execution

Then add a small workflow instruction:

When asked to check a Testany execution:
1. Call testany_get_execution with the execution_key.
2. If not terminal, refresh and wait with testany_refresh_execution.
3. If failed, collect case details and hand off to testany-debug.

This keeps the skill tightly scoped: observe, refresh, cancel pending runs, or hand off failures—not create triggers.

Compare before adopting

Before adopting it, compare three things:

• Maintenance freshness: are recent commits and README updates aligned with current Testany API behavior?
• Alternatives: does your agent already have a generic MCP execution client that duplicates this logic?
• Workflow fit: does the skill s strict separation from trigger and debug responsibilities match how you want pipelines managed?

Also check the skill s broader context and quality signals on its OpenAgentSkill page at https://www.openagentskill.com/skills/testany-io-testany-execution.

Why it is worth tracking

The repo has 81 stars and is maintained under the TestAny-io organization, which suggests active use and a clear owner for future updates. It is worth tracking if you are already using Testany or evaluating coding-agent skills for pipeline execution management. The skill earns attention because it handles the boring but critical post-trigger lifecycle: status, history, cancellation, and failure handoff. Revisit it when your agents start running executions at scale and need disciplined observation rather than ad-hoc dashboard checks.