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Baneado98

brandguard

by Baneado98

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Exposes an assess_repo tool that scans a repository, local folder, or npm/PyPI package and returns supply-chain risk findings with file, line, and code evidence — install-time scripts, dangerous patterns, secrets, AI-agent manipulation, impersonation and published-artifact mismatches — while never executing the target's code. Findings carry severities from info to critical so results can gate installs and CI jobs.
      2
      Apache 2.0
    • A
      license
      A
      quality
      A
      maintenance
      Scores npm packages, PyPI packages and GitHub repositories 0-100 with an A-F grade and plain-language risks. Scans package.json, requirements.txt and lock files; no API key needed.
      3
      109 npm
      1
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables auditing package.json files for real npm supply-chain attack mechanisms — typosquatted dependency names, malicious preinstall/install/postinstall scripts that pipe downloads into a shell or decode base64 payloads, and unpinned versions — plus live npm registry lookups that flag nonexistent, brand-new, deprecated, or typosquatted packages. It exposes dedicated tools for full manifest audits and single-name typosquat checks.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables developers and AI coding agents to vet npm packages before installation by checking existence, lookalike names, package age, install scripts, maintainers, downloads, and advisories, returning GO, RISKY, FAKE, or MISSING. It also scans a project's package.json for worst-first dependency verdicts and can run as a CLI or stdio MCP server.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI coding agents and CI to vet npm dependencies before they reach the lockfile, flagging hallucinated, slopsquatted, or otherwise risky packages with evidence-backed verdicts.
      3
      27 npm
      4
      MIT