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    resource finder

    1

    Find and verify truly free, open-source software and AI models with automated license and commercial-use auditing.

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    resource finder

    resource finder

    Example session with this skill installed

    Find three free, open-source video editing libraries for a commercial React project. I need to be able to modify the source code.

    • Read your context and instructions
    • Compiled the resource finder

    I have searched the GitHub and npm registries for video editing libraries. I verified each candidate against your requirement for commercial use and the ability to modify the source code.

    Vetted Video Editing Libraries

    Name + LinkLicenseFree StatusLegal-use VerdictCaveats
    FFmpeg.wasmLGPL-2.1FOSSUsable for commercial modificationMust link dynamically to follow LGPL requirements; includes large binaries.
    RemotionMulti-licensedFree TierRestrictedFree for individuals and small teams; requires a paid license for companies with >3 employees.
    VideoContextApache-2.0FOSSUsable for commercial modificationPermissive license allows for private modification and commercial use without copyleft.
    Shotstack SDKMITFOSS (SDK)Usable for commercial modificationThe SDK is MIT, but the backend service is a paid API with a limited free tier.

    Next steps

    • Review the LGPL compliance requirements if selecting FFmpeg.wasm for a bundled application.
    • Verify your team size against the Remotion licensing terms to ensure continued free usage.
    • Check the VideoContext documentation for browser compatibility with your React version.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Finding tools that are actually free and legal to use is harder than it looks. Most searches return "free trials" or "freemium" traps that waste developer time.

    This skill automates the hunting and verification of software, AI models, and libraries. It uses specialized scripts to query Hugging Face, GitHub, npm, and PyPI, then cross-references findings against a strict internal database of licenses and red flags. Every recommendation includes a verified license verdict and a breakdown of usage rights, ensuring you never accidentally bake a restrictive or "source-available" dependency into a commercial project.

    What it does

    • Vets software licenses by checking for OSI-approved status or specific commercial restrictions.
    • Filters for true free status, explicitly excluding time-limited trials or marketing-heavy freemium models.
    • Searches niche registries including Hugging Face for models, npm for libraries, and GitHub for programs.
    • Verifies legal use cases, checking if a resource allows for commercial modification or redistribution.
    • Identifies license red flags, catching copyleft obligations or restrictive "open" licenses like BSL or SSPL.

    How it works

    1. Classify the requirement to determine if the user needs a program, AI model, library, or creative asset.
    2. Execute targeted searches using specialized CLI tools for GitHub, Hugging Face, npm, or PyPI.
    3. Analyze the license file, checking the repository or provider's official pricing page to confirm it is not just a trial.
    4. Generate a vetted report that maps the resource against the user's intended personal or commercial use.

    Frameworks & tools

    Python 3, Hugging Face Hub, GitHub API, npm registry, PyPI, and a custom license verification script.

    Why this beats prompting it yourself

    Standard LLM prompts often hallucinate current pricing or miss the nuance of "free for personal use" vs. "free for commercial use." This skill uses real-time CLI verification scripts and a strict logic gate to ensure no "trialware" or "all rights reserved" resources make it into your report.

    Use cases

    • Finding a FOSS alternative to a specific proprietary SaaS tool.
    • Sourcing AI models that allow commercial fine-tuning and deployment.
    • Auditing a specific npm or PyPI package for license compatibility.
    • Locating free-tier APIs with enough quota for a MVP.

    Known limitations

    GitHub searches are subject to unauthenticated rate limits. The skill cannot verify resources behind a login or paywall.

    Subject to GitHub unauthenticated rate limits (10/min). Cannot verify resources behind paywalls or logins. License verification requires a public LICENSE file or clear pricing page.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Fresh listing

    Recently published to Agensi

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Trust & safety

    Security scan

    Security scan passed 6 days ago

    Requires

    Hugging Face
    GitHub
    Npmjs
    Pypi

    Permissions

    Terminal / Shell
    Network Access
    Read Files

    Allowed Hosts

    huggingface.co
    api.github.com
    registry.npmjs.org
    www.npmjs.com
    pypi.org
    Listed6 days ago

    What's inside

    Frequently Asked Questions

    Unlike general LLMs that may rely on outdated training data, this skill uses real-time CLI scripts to query GitHub, Hugging Face, and npm, ensuring you get current license status rather than a hallucinated "free" trial.

    The skill performs an automated audit of the resource's repository and pricing pages to confirm it meets OSI-approved standards and lacks restrictive 'source-available' clauses that often trap commercial developers.

    This skill is designed to work with any agentic framework that supports Python-based tools and external API calls, including AutoGPT, LangChain, and most custom developer agents.

    You will receive the core Python logic, the custom license verification script, and a configuration guide for connecting your own GitHub and Hugging Face API keys.

    While the skill is highly effective at scanning open repositories like GitHub and PyPI, it cannot bypass paywalls or verify resources that require a user login to view licensing terms.

    The skill includes logic to handle standard API rate limits; however, for high-volume searches, we recommend providing your own authenticated API tokens to ensure uninterrupted service.

    New in Research & Analysis