ProClaw Parent Child Relation Model(顶级亲子关系模型)

PassAudited by VirusTotal on May 3, 2026.

Overview

Type: OpenClaw Skill Name: proclaw-parent-child-relation-model Version: 1.0.0 The skill bundle provides a comprehensive framework and toolkit for analyzing and improving parent-child relationships based on a 'Super Individual' model. It includes Python scripts (diagnostic_tool.py, assessment_tool.py, cultivation_plan.py) that facilitate interactive diagnostics and generate HTML/Markdown reports, alongside extensive documentation (SKILL.md and various reference files). The code uses standard libraries for data processing and file generation without any indicators of malicious intent, data exfiltration, or unauthorized system access. The instructions are well-structured and strictly aligned with the stated educational and consultative purpose.

Findings (0)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

If the script is run with an output path, it can create or overwrite a local report file.

Why it was flagged

The diagnostic helper can write a generated report to a caller-supplied local path. This is expected for a report generator, but file writes should remain user-directed.

Skill content
parser.add_argument("--output", type=str, help="输出报告文件路径") ... with open(args.output, "w", encoding="utf-8") as f: f.write(report)
Recommendation

Run the helper only when you intend to use it, choose a safe output path, and have the agent ask before writing files.

What this means

Completed worksheets or generated reports may contain private information about a child, parent emotions, conflicts, and family dynamics.

Why it was flagged

The daily record template asks users to record identifying child details and sensitive family/relationship observations, which can become persistent private notes.

Skill content
| 孩子姓名 | __________ | ... | 孩子年龄 | __________ | ... 今日挑战 ... 当时反应 | 事后反思 |
Recommendation

Store completed records privately, avoid unnecessary identifying details, and do not share or upload them unless you explicitly choose to.