Showing 2 open source projects for "evidence"

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  • 1
    unlazy

    unlazy

    Anti-laziness skill for AI agents. Core: the Depth Tree method

    ...It requires agents to define acceptance gates before claiming that work is finished. Each gate can specify a command, expected result, working directory, and recorded evidence. A bundled checker validates the ledger, runs approved checks, and can reverify previously completed work. The workflow emphasizes reviewing returned work and reporting only conclusions supported by verifiable evidence. It can be installed for Claude Code, Codex CLI, and other skill-compatible agents, with additional templates and orchestration guidance for more complex tasks.
    Downloads: 1 This Week
    Last Update:
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  • 2
    Loop Library

    Loop Library

    A library of practical AI-agent loops and an installable skill

    ...The repository contains both a public loop library website and the Loopy skill that agents can use to discover, audit, adapt, run, and prepare loops. It helps turn open-ended prompts into measurable workflows with evidence, stopping criteria, and human approval points. The skill can work with agent environments such as Codex, Cursor, and Claude Code through the Skills CLI. Overall, it is useful for teams that want safer, reusable, and more reliable agent workflows instead of one-off prompting.
    Downloads: 0 This Week
    Last Update:
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