rpamis

    rpamis/comet

    Comet: agent skill harness for turning ideas into evaluated workflows

    ai
    eval
    harness-engineering
    loop-engineering
    phase-guarded
    sdd
    JavaScript
    MIT
    3.3K stars
    313 forks
    3.3K GitHub watchers
    Updated Nov 4, 2026
    View on GitHub

    Build with Backblaze B2

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 7 days ago, with 28 contributors on GitHub.

    Use Cases & Benefits

    • Provides a resumable long-running task workflow and Skill platform that integrates OpenSpec artifacts, Superpowers execution, and Skill creation into a closed-loop coding workflow.
    • Enables stable, phase-guarded execution of complex multi-phase workflows with automatic progress, intent-based routing, and zero-context recovery across devices.
    • Use for managing and automating multi-phase software development workflows with built-in review, verification, and archiving steps.
    • Use for creating, composing, and distributing reusable AI coding Skills across 33 supported AI coding platforms with minimal setup.
    • Use for scientifically evaluating and evolving Skills using rubric scoring, Pass@k metrics, and integration with LangSmith for traceable production assessments.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    中文版:README-zh.md Bilibili video DouYin

    Comet is a resumable long-running task workflow and Skill platform for coding.

    It uses a unified cross-platform runtime to connect OpenSpec artifacts, Superpowers execution methodology, Skill creation, evaluation, and release into a closed-loop workflow.

    It allows you to use a toolchain to handle everything from requirements to archiving, combine any skill to make it like Comet, evolving your skills based on scientific Rubric, Pass@k, and Pass^k scoring.

    Combining OpenSpec and Superpowers is not Comet's ultimate goal. We hope to track long-running skills like these and find the Harness capabilities that enable stable execution of long-running skills. If you are interested in participating, you are welcome to contribute to our project or learn from our source code.

    Excerpt from the rpamis/comet README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    313+55

    Open issues

    35-2

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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    RepositoryStars+7dHealthLast release
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    calesthio/OpenMontage77.2K+4.2K40—
    heygen-com/hyperframes79.6K+4.1K45today
    rpamis/comet3.3K—517 days ago
    Category median98.1K+5.2K45—

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