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  • 1
    pre-commit

    pre-commit

    Framework for managing and maintaining multi-language pre-commit hooks

    Git hook scripts are useful for identifying simple issues before submission to code review. We run our hooks on every commit to automatically point out issues in code such as missing semicolons, trailing whitespace, and debug statements. By pointing these issues out before code review, this allows a code reviewer to focus on the architecture of a change while not wasting time with trivial style nitpicks. As we created more libraries and projects we recognized that sharing our pre-commit hooks across projects is painful. ...
    Downloads: 0 This Week
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  • 2
    AI Berkshire

    AI Berkshire

    AI-era Berkshire: a value investing research framework

    ...It uses parallel agent analysis, adversarial viewpoints, financial rigor checks, and repeatable report formats to reduce shallow or overly balanced conclusions. The framework covers company research, earnings review, industry screening, portfolio thinking, management analysis, and investment checklists. It is best understood as a research and decision-support system rather than a source of financial advice.
    Downloads: 1 This Week
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  • 3
    Slither

    Slither

    Static Analyzer for Solidity

    ...It is highly customizable and provides a set of APIs to inspect and analyze Solidity code easily. We use it in all of our security reviews. Now you can integrate it into your code-review process. We are open sourcing the core analysis engine of Slither. This core provides advanced static-analysis features, including an intermediate representation (SlithIR) with taint tracking capabilities on top of which complex analyses (“detectors”) can be built.
    Downloads: 1 This Week
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  • 4
    Maestro Framework

    Maestro Framework

    A framework for Claude Opus to intelligently orchestrate subagents

    ...The original workflow used Claude Opus and Haiku, while newer variants support Claude 3.5 Sonnet, GPT models, Gemini, Cohere, Groq, LM Studio, and Ollama through different scripts and LiteLLM support. It can maintain context between subtasks so later steps can build on earlier work. The project can also generate exchange logs and save them as Markdown for review. Overall, it is useful for experimenting with multi-agent task decomposition, AI-assisted planning, and model orchestration workflows.
    Downloads: 0 This Week
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