Print Failure Analyst

Diagnose 3D print failures by symptoms or images, recommend slicer setting fixes, log issues, view history, and generate failure reports.

This skill appears to do what it says: diagnose print failures (using a symptom knowledge base), recommend slicer settings, and maintain a local JSON log and reports. Before installing or using it, note: 1) Image analysis is described in SKILL.md but there is no image-processing code — the agent (or you) must translate visual observations into symptom keywords before running diagnose.py. 2) All data is stored locally at assets/failure-log.json; back up any existing file with that name to avoid accidental overwrite and check that storing failures locally meets your privacy expectations. 3) The scripts use only Python stdlib and make no network calls or require credentials, so code inspection should be straightforward; review the included files if you want extra assurance. 4) If you plan to share images or logs externally, explicitly confirm where they will be sent—this skill itself does not upload data, but an agent could be asked to do so. Overall the package is internally coherent and proportionate to its purpose.

Type: OpenClaw Skill Name: nai-print-failure-analyst Version: 1.0.0 The print-failure-analyst skill bundle is a legitimate tool designed to diagnose 3D printing issues and maintain a local failure log. All scripts (diagnose.py, log_failure.py, history.py, and report.py) utilize the Python standard library to perform data processing, scoring, and report generation without any network activity, shell execution, or unauthorized file access. The SKILL.md instructions are well-defined and strictly limited to the 3D printing domain, and the assets/references contain only relevant technical documentation.