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    unlazy

    unlazy

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

    unlazy is an AI-agent skill designed to enforce disciplined completion and verification on substantial tasks. 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
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