Detect exposed credentials and insecure configurations in AI automation workflows.
npx skills add https://github.com/jessefreitas/open_prime --skill prime-v1-0
Please help me install this Agent Skill. Skill: PRIME v1.0 Source: https://github.com/jessefreitas/open_prime/tree/main/prime Command: npx skills add https://github.com/jessefreitas/open_prime --skill prime-v1-0
Prime provides automated security controls for AI automation and agent workflows, detecting exposed credentials, insecure configurations, and policy gaps to prevent data leaks.
Place the PRIME skill directory in your OpenClaw skills folder and restart the gateway to activate security automations across your automations and agents.
High-intent search queries and answers about installing and using this skill.
To detect exposed credentials in AI automation workflows, use automated security controls that scan pipelines and agent tasks for leaked secrets and insecure configurations. This prevents data leaks by enforcing secure defaults.
Auto-hardening for AI agents is the automatic enforcement of security requirements like Row-Level Security and TLS usage. It secures access controls by applying secure defaults to infrastructure automation and deployment workflows.
Yes, this credential detection works with CI/CD pipelines and enterprise agents. It integrates into development pipelines, automation bots, and infrastructure tasks to identify risks and enforce compliance.
To enforce compliance references like ISO 27001 and LGPD in code generation, apply automated security controls that check AI workflows against established policies. This provides remediation guidance to close policy gaps.
Limitations of automated security controls for infrastructure automation include relying on curated detection patterns, which may not catch novel threats. Users must still manually review complex insecure configurations and credential rotation workflows.
gerald-icaInstall OpenClaw and configure Gateway, channels, and agents for deployment.
InNoobWeTrustReview code, IaC, dependencies, and deployment pipelines for security vulnerabilities.
msaad00Evaluate AI scan results against OWASP, NIST, EU AI Act, and related frameworks.
matteocervelliScan codebases for secrets, vulnerable dependencies, and insecure patterns.
