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Dependency Guard AI

Paste the dependencies an AI coding assistant added or changed — name and version — and get rules-based flags for wildcard versions, risky name patterns, pre-release tags, and duplicate-functionality packages. No external lookups, just transparent pattern checks.

  • Updates live — no submit button
  • Rules-based checks only, no external API calls
  • All input stays in your browser

Results update automatically as you edit rows.

Risk score 0/100

Duplicate functionality

Flagged dependencies

    How it works

    1

    List your dependencies

    Add one row per package name and version — paste them in as an AI coding assistant left them, wildcard versions and all.

    2

    Rules-based checks run automatically

    Each dependency is checked for wildcard/missing versions, unpinned ranges, pre-release tags, and risky name patterns, and the whole list is scanned for packages that duplicate functionality (two HTTP clients, two date libraries, and so on).

    3

    See a risk score and flagged dependencies

    A 0-100 risk score, a duplicate-functionality summary, and a flagged-dependency list with plain-language reasons show exactly what to review before merging AI-generated changes.

    Frequently asked questions

    Does this check real vulnerability databases or npm registry data?

    No — this tool runs local, rules-based pattern checks only (wildcard versions, name patterns, duplicate categories). It does not call any external API or vulnerability database, so it will not catch a specific CVE.

    Why is a wildcard version flagged as high risk?

    A wildcard or missing version (*, empty, or "latest") means any future release — including a breaking or malicious one — gets installed automatically with no warning, which is a common way AI-assisted changes introduce instability.

    What is a "duplicate functionality" package?

    When two or more dependencies in the same list solve the same problem — for example both axios and node-fetch for HTTP, or both moment and dayjs for dates — it usually means an AI assistant added a new dependency instead of reusing one already in the project.

    Why are some risky name patterns flagged?

    Certain package name shapes (tiny "is-x" utility packages, generic "-utils" grab-bags, or names matching packages with documented supply-chain incidents) carry above-average risk and are worth a second look before trusting them blindly.

    Is a flagged dependency automatically unsafe?

    No — flags point at patterns worth reviewing, not confirmed problems. A caret range on a well-maintained package is often fine; the point is to make you look rather than accept every AI-added dependency unreviewed.

    How We Compare

    Feature MVPHub GitHub CopilotReplit
    Flags wildcard versions and risky name patterns Included Not included Not included
    Detects duplicate-functionality dependencies Included Not included Not included
    Instant and free, no external API calls Included Not included Included
    Live vulnerability database lookups (CVEs) Not included Not included Not included

    GitHub Copilot and Replit add dependencies quickly as part of AI-assisted coding, but neither flags risky patterns in what gets added. MVPHub gives an instant, transparent second look at a dependency list before you merge AI-generated changes.

    Embed this tool

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