by DataFog · Claude Skill · ★ 65
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Offline PII firewall for AI agents and LLM apps: fast local detection and redaction, Claude Code hook, LiteLLM guardrail. Zero network calls, one dependency.
| Stars | 65 |
| Forks | 14 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 55.1237804557116/100 |
| Open Issues | 3 |
| Last Updated | 2026-07-03 |
| Created | 2023-06-22 |
| Platforms | claude-code, python |
| Est. Tokens | ~13k |
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datafog-python is Offline PII firewall for AI agents and LLM apps: fast local detection and redaction, Claude Code hook, LiteLLM guardrail. Zero network calls, one dependency.. It is categorized as a Claude Skill with 65 GitHub stars.
datafog-python is primarily written in Python. It covers topics such as agent-security, ai-agents, anonymization.
You can find installation instructions and usage details in the datafog-python GitHub repository at github.com/DataFog/datafog-python. The project has 65 stars and 14 forks, indicating an active community.
datafog-python is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to datafog-python on Agent Skills Hub include NoPII, shellward, Sandcastle. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.