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With AI, Everyone is a Dev. EveryDev.ai ©
    1. Home
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    3. unlazy
    unlazy icon

    unlazy

    Automated Testing
    Featured

    An AI-agent skill that enforces completion discipline through a written acceptance ledger and runnable verification gates.

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    At a Glance

    Pricing
    Open Source

    unlazy skill, checker and optional hook released under the MIT License; free to use, copy, modify and distribute.

    Engagement

    Available On

    Windows
    macOS
    Linux
    Web
    API

    Resources

    WebsiteGitHubllms.txt

    Topics

    Automated TestingAgent Skill RegistriesAgent Harness

    Alternatives

    agent-skills-evalKhazix Skillspstack
    Developer
    LeonxlnxMunich, GermanyEst. 2026

    Listed Oct 2026

    About unlazy

    unlazy is an open-source skill for AI coding agents, published by Leonxlnx under the MIT license. It has the agent write an acceptance ledger before substantial work, then checks that work with runnable gates and reports only what the evidence supports. The README says the current source targets version 2.1.0 and is not identified as a tagged GitHub release.

    What It Is

    unlazy is a skill, installed through the skills CLI or by cloning it into an agent's skills directory (Claude Code and Codex CLI are documented). It targets premature completion and partial compliance on large tasks. Its core is the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task. A Node-based checker, gate-check.mjs, runs the verification. It requires Node 16 or newer and has no third-party runtime packages.

    How the Gate Workflow Works

    The user writes a GATES.md ledger in which each gate has a CHECK: shell command, an EXPECT: string, an optional CWD:, and an EVIDENCE: line. A gate passes only when the command exits 0 and EXPECT: matches the combined output. The documented modes are:

    • --status inspects the ledger without executing anything.
    • --approve records approval of the exact commands after the user has read them.
    • --reverify re-runs every runnable gate, including ones already marked complete.
    • An advisory linter, gate-lint.mjs, flags weak ledger patterns.

    Automatic evidence is bound to a digest of the gate definition, so a gate whose definition has changed is treated as stale and unmet.

    Orchestration and Parallel Work

    For larger jobs, a scoped pipeline under .unlazy/<scope>/ holds a plan, ledgers, and leaf and node gate files. Leaves move through the declared states WAITING, READY, IN-FLIGHT, VERIFIED, and ABANDONED. Ready leaves can run in parallel once they claim disjoint OWNS: paths, and --jobs optionally runs independent checks in parallel. Native launch waves record host agent handles and support audited abandonment after a partial launch.

    Security and Optional Stop Hook

    Approval is consent, not a sandbox: checks run with ambient filesystem, environment, credential, and network access. Approval records are stored outside the repository, by default under ~/.unlazy/approved. An optional Claude Code Stop hook blocks session exit while gates remain unmet or launch waves are incomplete. It does not execute checks, and it is installed only with the user's consent.

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    Pricing

    OPEN SOURCE

    Open Source (MIT)

    unlazy skill, checker and optional hook released under the MIT License; free to use, copy, modify and distribute.

    • MIT License
    • Install via npx skills add Leonxlnx/unlazy
    • Gate checker and optional hook require Node 16+ with no third-party runtime packages
    • Works with Claude Code and Codex CLI skills

    Capabilities

    Key Features

    • Acceptance ledger with CHECK/EXPECT runnable gates
    • Non-executing --status inspection mode
    • Explicit --approve step and --reverify re-run of all gates
    • Definition-bound automatic evidence that detects drift
    • Depth Tree task decomposition method
    • Scoped orchestration pipelines with leaf and node ledgers
    • Parallel leaf dispatch with ownership leases and native launch waves
    • Opt-in --jobs rolling parallel checks
    • Advisory gate linter with strict mode
    • Optional Claude Code Stop hook
    • Configurable shell via --shell or UNLAZY_SHELL

    Integrations

    Claude Code
    Codex CLI
    skills CLI
    API Available

    Ratings & Reviews

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    Developer

    Leonxlnx

    Leonxlnx builds Taste Skill, an open-source collection of AI agent skills designed to improve the design quality of AI-generated frontend code. The project focuses on giving AI coding agents better "taste" — producing premium, modern interfaces instead of generic output. Development is community-driven, with contributions and feedback welcomed via GitHub and social channels.

    Founded 2026
    Munich, Germany
    2 employees

    Used by

    No named commercial customers were…
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    WebsiteGitHubX / Twitter
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