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    warningRisk: Licenses
    Scanned: about 21 hours ago

    graphifyy

    Artifact:
    latest
    AI coding assistant skill (Claude Code, CodeBuddy, Codex, OpenCode, Kilo Code, Cursor, Gemini CLI, Aider, OpenClaw, Factory Droid, Trae, Hermes, Kiro, Pi, Devin CLI, Google Antigravity) - turn any folder of code, docs, papers, images, or videos into a queryable knowledge graph
    License: Permissive (Apache-2.0)
    New!
    Published: about 21 hours ago
    Visit GitHub
    See on PyPI

    SAFE Assessment

    Compliance

    Licenses
    1 software distribution restrictions
    Secrets
    No sensitive information found

    Security

    Vulnerabilities
    No known vulnerabilities detected
    Hardening
    No application hardening issues

    Threats

    Tampering
    No evidence of software tampering
    Malware
    No evidence of malware inclusion

    INCIDENTS FOR THIS VERSION:

    Overviewissues5vulnerabilities0malware0behaviors90dependencies84contributors1versions211

    FAQ for graphifyy

    What is graphifyy?

    AI coding assistant skill (Claude Code, CodeBuddy, Codex, OpenCode, Kilo Code, Cursor, Gemini CLI, Aider, OpenClaw, Factory Droid, Trae, Hermes, Kiro, Pi, Devin CLI, Google Antigravity) - turn any folder of code, docs, papers, images, or videos into a queryable knowledge graph.

    Is graphifyy malicious or is it safe to use?

    The Python package graphifyy was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. The package contains risks, and the analysis results should be reviewed before it is downloaded and used. Visit the Issues and Behaviors sections of the analysis for more details.

    Is graphifyy popular?

    The Python package graphifyy ranks among the top 10000 projects in this community. It has 5M recorded downloads. A package's popularity is not a good indicator of its safety, visit the SAFE Assessment section to see the full analysis of package deployment risk categories.

    How do I secure graphifyy once it is in my app?

    Since we can't know when or where malicious attacks will happen, we recommend tracking how graphifyy behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a graphifyy version, which can prevent advanced software supply chain attacks. Read how our technology can help prevent future attacks similar to SolarWinds and 3CX.

    Did you know...

    ... that you can use ReversingLabs’ Spectra Assure platform to perform regular risk assessments of packages you develop in-house?

    We recommend continuous software safeness monitoring through CI/CD integrations and pre-release/deployment checks. In addition to basic package information found on this page our platform offers rich reports for developers and DevSecOps that help them remediate all reported issues.

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