Pet Sitter Intake Form Generator

Generate professional PDF client intake forms for pet sitting businesses. Use when a pet sitter, dog walker, pet boarder, or pet care professional needs a cl...

This skill is coherent with its stated purpose and runs a bundled Python script to create PDFs locally. Before installing or running it: (1) be aware the forms intentionally include sensitive fields (alarm codes, Wi‑Fi passwords, key codes) — only enter those if you trust where the PDF will be stored/shared; (2) the generated PDF is written to disk (default /mnt/user-data/outputs) and presented via the agent UI, so ensure the output path and UI sharing behavior meet your privacy needs; (3) dependencies (reportlab, pyyaml) must be installed locally — consider running in a sandbox or reviewing the full scripts/generate_form.py before use; (4) source/homepage is not authoritative in the manifest (some references point to a GitHub repo in metadata) — if provenance matters, verify the repository and author before trusting; (5) the included script appears to contain minor code issues in the truncated excerpt — test on sample inputs first rather than running with real sensitive data.

Type: OpenClaw Skill Name: pet-sitter-intake Version: 5.0.1 The skill's core functionality is benign, generating PDFs using `reportlab`. However, the `SKILL.md` and `skill.yaml` instruct the AI agent to construct a shell command (`python scripts/generate_form.py`) using user-provided inputs. This pattern introduces a shell injection vulnerability if the OpenClaw agent does not adequately sanitize user input before executing the command, potentially allowing arbitrary command execution. While the Python script itself uses `argparse` for internal input sanitization, the risk lies in the agent's command construction. No evidence of intentional malicious behavior like data exfiltration or persistence was found.