Audit, fix, and verify code issues in Python codebases.
npx skills add https://github.com/asfbay-bit/opchain-skills --skill oc-code-auditor
Please help me install this Agent Skill. Skill: oc-code-auditor Source: https://github.com/asfbay-bit/opchain-skills/tree/main/skills/oc-code-auditor Command: npx skills add https://github.com/asfbay-bit/opchain-skills --skill oc-code-auditor
This Skill automates the process of code quality assurance by performing an Auditor/Fixer/Verifier loop, ensuring that code is secure, performant, and maintainable.
Run the full Auditor/Fixer/Verifier loop on your codebase with the command: /oc-audit fix-all.
High-intent search queries and answers about installing and using this skill.
Automate code quality assurance by running an Auditor/Fixer/Verifier loop that identifies security vulnerabilities, performance bottlenecks, and maintainability issues, then proposes and verifies concrete fixes before deployment.
Yes, automated security audits and performance testing identify vulnerabilities and bottlenecks in your codebase, propose concrete code changes to resolve them, and verify that the applied fixes actually work.
The Auditor/Fixer/Verifier loop works by first identifying codebase issues, then proposing concrete changes to fix those findings, and finally confirming that the applied fixes actually resolve the original problems.
Yes, Python is required to execute this automated pre-deployment code auditing process, which scans for security, performance, and maintainability issues and verifies the applied fixes.
Use an automated Verifier step to ensure code fixes actually resolve identified vulnerabilities, confirming that the changes proposed by the Fixer effectively address the original Auditor findings.
Automated code review in build pipelines focuses on identifying and resolving security, performance, and maintainability issues, but requires Python execution and relies on the Verifier step to confirm fix accuracy.
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