Prompt Hardener Prompt Hardener analyzes prompt-injection risk in LLM-based agents and applications. It gives you a single workflow to: describe your system in run deterministic security analysis across prompt, tool, and architecture layers generate mitigations validate defenses with adversarial attack simulation export results as Markdown, HTML, or JSON Prompt Hardener is designed for developers and security engineers who want to understand how prompt injection can affect an agent and how to reduce that risk.
| Stars | 44 |
| Forks | 6 |
| Language | Python |
| Category | 未分类 |
| License | Apache-2.0 |
| Quality Score | 38.9/100 |
| Open Issues | 3 |
| Last Updated | 2026-03-12 |
| Created | 2024-10-23 |
| Platforms | python |
| Est. Tokens | ~37k |
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prompt-hardener is Prompt Hardener is an open-source tool that evaluates and strengthens system prompts used in LLM-based applications.. It is categorized as a 未分类 with 44 GitHub stars.
prompt-hardener is primarily written in Python. It covers topics such as ai, generative-ai, llm.
You can find installation instructions and usage details in the prompt-hardener GitHub repository at github.com/cybozu/prompt-hardener. The project has 44 stars and 6 forks, indicating an active community.
prompt-hardener is released under the Apache-2.0 license, making it free to use and modify according to the license terms.