pydantic-models-py

The skill consists of a markdown file (SKILL.md) describing how to use a Pydantic model template, a Python template file (assets/template.py), and a markdown file (references/acceptance-criteria.md) providing documentation and examples.

1. Prompt Injection: No patterns indicative of prompt injection were found in any of the files. The content is purely instructional and descriptive.
2. Data Exfiltration: No commands or code snippets that attempt to read sensitive files or exfiltrate data over the network were found. The Python files are templates and examples, not executable scripts that perform I/O or network operations.
3. Obfuscation: No malicious obfuscation techniques (e.g., Base64, zero-width characters, homoglyphs, URL/hex/HTML encoding) were detected. The {{ResourceName}} and {{resource_name}} are clearly marked placeholders for templating, not obfuscation.
4. Unverifiable Dependencies: The skill itself does not install or download any external dependencies. It provides a template for using the Pydantic library, which is an external dependency for the user's project, but the skill itself does not manage this. References to Pydantic documentation are benign.
5. Privilege Escalation: No commands or code attempting to escalate privileges (e.g., sudo, chmod) were found.
6. Persistence Mechanisms: No attempts to establish persistence (e.g., modifying .bashrc, creating cron jobs) were found.
7. Metadata Poisoning: The metadata in SKILL.md is benign and accurately describes the skill's purpose.
8. Indirect Prompt Injection: The skill does not process external, untrusted user input in a way that would make it susceptible to indirect prompt injection.
9. Time-Delayed / Conditional Attacks: No conditional logic or time-based triggers for malicious behavior were found.

Overall, the skill is a static collection of templates and documentation, posing no security risk.