Executor

Execute runtime commands from typed JSON artifacts and write auditable result files.

2|Updated Apr 26, 2026
One-click install
npx skills add https://github.com/anderson-joyle/claude-a-team --skill executor-anderson-joyle
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Executor
Source: https://github.com/anderson-joyle/claude-a-team/tree/main/skills/executor
Command: npx skills add https://github.com/anderson-joyle/claude-a-team --skill executor-anderson-joyle

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures AI-generated work is executed safely and reproducibly by applying typed artifacts, running only explicitly requested commands, and producing auditable execution results with no guessing.

Core Features & Use Cases

  • Probe-mode command execution: Runs probe_commands from probe-output.json, captures stdout/stderr, and writes probe-results.json without applying any file changes.
  • Implementation-mode change application: Applies planned_changes and runs execution_handoff.test_commands only after the Probe Gate passes, then writes execution-results.json.
  • Strict input validation and fail-loud behavior: Refuses to run when required inputs are missing or invalid, records failures with reasons, and stops rather than continuing after planned-change failure.

Quick Start

Run the Executor after the Engineer stage to produce probe-results.json in probe mode or execution-results.json in implementation mode, using the session worktree and the required upstream artifacts.

Frequently Asked Questions about Executor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run probe commands and capture stdout/stderr without applying file changes?

Probe command execution runs specified commands from probe-output.json, captures stdout and stderr logs, and writes probe-results.json without applying any file changes to ensure safe testing.

How do I apply planned changes and run test commands deterministically?

Implementation-mode change application applies planned changes from engineer-output.json and runs execution_handoff test commands only after Probe Gate passes, writing execution-results.json with auditable outputs.

What happens when required input artifacts are missing or invalid for command execution?

Strict input validation enforces fail-loud behavior by refusing to run when required inputs are missing or invalid, recording failures with specific reasons, and stopping rather than continuing after a planned-change failure.

Do I need a worktree to run deterministic file operations and patch applications?

Worktree-only file operations are required, enforcing that all patch contexts and file applications occur strictly within the session worktree to validate paths and maintain auditable execution results.

When do I need typed JSON artifacts for reproducible runtime command execution?

Typed JSON artifacts are needed when running deterministic runtime commands in the A-TEAM pipeline, requiring probe-output.json or engineer-output.json plus probe-gate-output.json in implementation mode to produce auditable results.

What's the best way to audit command execution results and patch applications in a CI pipeline?

Auditable execution results are produced by running only explicitly requested commands, validating patch contexts, capturing stdout/stderr logs, and writing execution-results.json or probe-results.json with correct envelope fields.