by DataFog · Claude Skill · ★ 66
# DataFog Python DataFog is a Python library for detecting and redacting personally identifiable information (PII). It provides: Fast structured PII detection via regex An offline PII firewall for AI agents: a Claude Code hook and a LiteLLM gateway guardrail (new in 4.6) Optional NER support via spaCy and GLiNER A simple agent-oriented API for LLM applications Backward-compatible and classes Agent & Gateway Firewall (4.6) DataFog 4.6 adds two ready-made enforcement points that catch PII at the moment it would leave your machine — offline, in microseconds, with matched values never echoed into...
| Stars | 66 |
| Forks | 14 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 69.2050039991145/100 |
| Open Issues | 3 |
| Last Updated | 2026-07-07 |
| Created | 2023-06-22 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
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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 66 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 66 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.