DSH Session Insights — DeepSeek Harness Retrospectives

    1

    Turn DeepSeek Harness sessions into a local HTML workflow review: projects, tool failures, retries and improvements. Requires DSH.

    Free

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    Works with the AI Agents you already use

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    DSH Session Insights — DeepSeek Harness Retrospectives

    Example session with this skill installed

    Review my last 30 days of DeepSeek Harness work and help me understand project patterns, tool failures and retries.

    • Read your context and instructions
    • Compiled the dsh session insights

    The download includes an English dashboard screenshot generated from fully synthetic test sessions. It illustrates the report layout; it is not a transcript or an analysis of your sessions. Your run writes its own local HTML dashboard and companion JSON.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Review your DeepSeek Harness workflow

    Run /session-insights to turn DSH session history into a local HTML dashboard and companion JSON. Review project and workflow patterns, tool failures, retries, completion evidence, and recommendations tied to the selected sessions.

    Requirements and installation

    Requires DeepSeek Harness >=0.2.0-rc.2 and Node.js ^22.19.0 or >=24.0.0. The native Bundle needs DSH's commands, tools and sessionQuery services. It does not require Python.

    For DSH Web, install with dsh plugin --profile web add dsh-session-insights@0.5.2, start DSH Web, then enter /session-insights --days 30 --locale en in the DSH composer. Official Desktop uses its own plugin controls or bundled command carrier; see the source README.

    This ZIP preserves the published Bundle source and adds a marketplace entry SKILL.md. Follow the DSH installation route; dropping SKILL.md into another agent does not install DSH or provide its session services. Other agents' logs are outside this tool's scope.

    Privacy and model usage

    Add --deterministic for offline analysis. The default model-assisted workflow sends bounded, sanitized evidence through the current DSH agent to its configured model provider; that provider's data handling and usage charges apply. Redaction reduces disclosure but is not a guarantee that evidence contains no secrets. Reports and companion JSON remain local.

    Free and open source

    Version 0.5.2, MIT licensed. The ZIP includes LICENSE. Public source, complete installation instructions and future releases: https://github.com/GreenLv/dsh-session-insights

    The dashboard screenshot included in the ZIP comes from fully synthetic test data, not a private user's sessions. This is a workflow retrospective, not live telemetry, token billing or a quality score for your work.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Requires

    Npmjs
    Node.js
    Python

    Listed11 days ago

    What's inside

    Frequently Asked Questions