Report Processor

Automatically parse PDF/TXT research reports to extract key viewpoints, data, investment advice, risks, and generate summaries.

This skill appears coherent with its description, but review these points before installing or running: (1) It expects a local Ollama server and the qwen2.5:14b model; ensure Ollama is running locally and you have the model (SKILL.md instructs how). (2) Install poppler/pdftotext to enable PDF parsing. (3) The script saves extracted data and portions of the model response to ~/.openclaw/workspace/data/reports/ — the saved files may contain sensitive financial data, so consider changing OUTPUT_DIR, restricting permissions, or encrypting/deleting outputs if needed. (4) The script sets OLLAMA_HOST to 127.0.0.1:11434 for its subprocess call; do not change that to a remote host unless you understand the privacy implications (pointing it to a remote endpoint could send report contents off-host). (5) As a best practice, inspect the script and run it on non-sensitive sample data first to confirm behavior.

Type: OpenClaw Skill Name: report-processor Version: 1.0.0 The skill bundle is a legitimate utility for processing research reports (PDF/TXT) using a local Ollama instance and poppler-utils. The Python script `scripts/report_processor.py` safely handles file parsing and uses subprocess calls with argument lists to interact with external tools, avoiding shell injection vulnerabilities. There is no evidence of data exfiltration, persistence mechanisms, or malicious intent.