wechat daily report
AdvisoryAudited by Static analysis on Apr 30, 2026.
Overview
No suspicious patterns detected.
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.
A message inside the chat log could influence the generated report if the agent over-trusts it.
The workflow asks the model to generate content directly from arbitrary chat messages. Those messages may contain instruction-like text and should be handled only as data.
AI 根据聊天文本生成内容 (ai_content.json)
Treat all chat content as untrusted input, ignore any embedded instructions in messages, and review ai_content.json before generating or sharing the report.
The submitted artifacts do not let a user review the actual analysis or image-generation scripts before use.
The skill references helper scripts and manual package installation, while the supplied artifact set contains no code files or install spec. This is a setup/provenance limitation, not evidence of malicious behavior.
python scripts/analyze_chat.py ... python scripts/generate_report.py ... pip install jieba jinja2 playwright
Only run this in a directory where you trust the referenced scripts, and install dependencies in an isolated environment with versions you control.
Private group messages, member names, and generated member profiles may remain in intermediate files or be exposed if outputs are shared.
The workflow creates a full-chat text file for AI analysis and additional generated content files, so private chat data may persist in local artifacts and model context.
`simplified_chat.txt` - 全量聊天文本，供 AI 分析
Use only chat exports you are allowed to process, store outputs securely, delete intermediate files when done, and avoid sharing the PNG or JSON files without consent.