Get an AI risk assessment before adopting an open-source package

Researches an open-source package's activity and health, then has AI recommend whether it's safe to use.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"package name submitted"]:::trig s0["find package listing and repo"]:::svc s1["pull activity data"]:::svc s2["AI generates risk rating"]:::svc s3["send report to Slack"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"AI risk report sent to Slack"/]:::out pay{{"faster safer dependency decisions"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsWeb Scraping & Data CollectionResearch & Market IntelligenceSurvey & FeedbackDevOps & IT Operations
Connects
GitHubSlackGeminiFirecrawl

The problem it solves

Before your team pulls in a new open-source package, someone has to manually check if it's actively maintained, popular enough to trust, and free of red flags. That research takes time and often gets skipped under deadline pressure.

Who it fits

A software development team evaluating whether to adopt a new open-source dependency.

How it works

  1. A package name is submitted through a form
  2. The system finds the package's official listing and matching code repository
  3. Activity data like stars, issues, and recent commits is pulled in
  4. AI reviews the data and generates a risk rating with a recommendation
  5. A readable report is sent to Slack
What you get

Risk ratings you can decide from

You get a clear risk rating and recommendation on any open-source package before your team decides to adopt it.

What you get

A risk-rated report with an AI recommendation on whether the package is safe to adopt.

What you need

A GitHub account, a web search API key, a Google Gemini API key, and a Slack account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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