Automates code testing by analyzing tasks, planning subtasks, executing tests, validating results, and providing detailed reports and summaries.

Before installing or running this skill: (1) Be aware that run.py will write files into the target project (tests/test_smoke.py and requirements-test.txt), run pip to install packages (which will reach out to PyPI or other URLs listed in requirements.txt), and execute pytest — so it will execute code from the target repository. (2) The script assumes a hardcoded workspace path (/home/jason/.openclaw/workspace) unless you pass an absolute path; this is undocumented and may not match your environment. (3) Running this against untrusted code can execute arbitrary/malicious code or cause network requests to attacker-controlled locations — run it inside an isolated container, sandbox, or CI runner with network restrictions. (4) The code contains a small bug (uses datetime.UTC which will raise an error) — expect potential runtime failures. Recommended actions: review the target project's requirements.txt for suspicious package sources, run the tester on a copy of the repo in an isolated environment, or request a version of the skill that accepts a configurable workspace path and documents the file-write and install behavior.

Type: OpenClaw Skill Name: ai-autotester Version: 1.0.0 The AI_AutoTester skill is a functional utility for running automated Python tests. The run.py script sets up a testing environment, installs dependencies via pip, and executes pytest on a target directory. While it contains a hardcoded workspace path (/home/jason/.openclaw/workspace) and executes shell commands via subprocess, these actions are consistent with the stated purpose of a testing tool and show no evidence of malicious intent, data exfiltration, or unauthorized access.