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ajmainapon

One Agent Harness

by ajmainapon

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      Local-first working-state checkpoints and portable handoff packets for AI coding agents. Continuation checkpoints recover Claude Code sessions after rate limits, crashes, and compaction; packets hand tasks across tools, repos, and machines — Markdown on disk, no cloud, no telemetry.
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    TDQS

    A3.7/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool targets a distinct action: pull context, list sessions, search history, save checkpoint, and inject into an agent. There is minor overlap between pull_handoff_context (which also returns an active session snapshot) and list_recent_sessions, but the descriptions clarify their primary purposes.

    Naming Consistency5/5

    All tools follow a consistent snake_case, verb-first convention (pull_, list_, search_, save_, inject_). The prepositional suffix in inject_session_to_agent is a slight variation but remains readable and predictable.

    Tool Count5/5

    Five tools is well-scoped for a cross-agent handoff harness, with each tool covering a necessary operation (pull, list, search, save, inject). There is no redundancy or obvious missing tool at this scale.

    Completeness4/5

    The toolset covers the core lifecycle: reading context (pull, list, search) and writing/injecting (save checkpoint, inject). Minor gaps exist, such as updating or deleting saved checkpoint notes, but agents can work around these.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues