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- title: README
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- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ### CredShields on Hugging Face
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+ CredShields blends AI automation with senior-expert auditing to secure smart contracts, protocols, and enterprise applications. We focus on predictive security, developer-first workflows, and standardized risk communication inspired by OWASP. Our flagship is SolidityScan, built to catch logic flaws before mainnet while supporting human-in-the-loop review.
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+
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+ ### Mission
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+ - Predict and prevent exploits before deployment.
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+ - Standardize risk across ecosystems with OWASP-style clarity.
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+ - Accelerate secure shipping with developer-first tooling and automation.
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+
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+ ### What We Publish Here
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+ - Models: Solidity-aware LLMs for code understanding, and reasoning.
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+ - Spaces: Lightweight demos for instant scans, diff-based fixes, and rule explainability.
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+
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+ ### Flagship: SolidityScan
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+ SolidityScan powers fast, predictive scanning for developers. It augments manual reviews with AI-driven findings, risk normalization, and actionable remediation guidance—reducing audit cycle time without compromising depth.
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+
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+ ### Responsible Use
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+ - These models assist auditors and developers; they do not replace manual review.
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+ - Findings require human validation and protocol-level context before action.
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+
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+ ### Governance and Contributions
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+ - Use Hugging Face discussions for issues, feature requests, and disclosures.
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+ - We follow semantic versioning and provide changelogs and reproducible evals.
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+ - Contributions are welcome.
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+
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+ ### Licensing
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+ - Models: permissive licenses (e.g., Apache-2.0) unless otherwise specified in each repo.
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+ - Datasets: open licenses suitable for research and commercial audit workflows.
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+ - Please check each model/dataset card for exact terms.