Install
Inside DeepSeek Harness, with dsh-market
dsh plugin --profile web add dshmarket
Or from the command line
dsh plugin --profile web add github:CZ-ZL/duo#path:/dsh-plugin
Installing runs third-party code with your own permissions — it can read your files, use your credentials and reach the network. Review the source first, and pin a commit (github:owner/repo#sha) when you can.
README
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DUO lets a DSH Agent evaluate an original prompt or supported component, try candidate changes against supplied tests, and return the changes, decisions and costs.
Start here: install → free check or real task → saved report
The Quickstart includes every command, the supplied task/evaluator and the owner-provided model configuration. An independent Caller has completed the real starter through this public guide; the original and candidate tied, so the original was retained. The local path checks product operation without model calls.
Developer preview: Linux / Node24+, tested DSH0.1.2-rc.1 / Cordis4.0.2. Version 0.6.3 is an unreleased source preview; the Quickstart packages its public source into an installable tarball. Previous released builds have versioned GitHub assets. Do not install the repository root or assume an npm release. Installation may fetch dependencies; it does not configure a model account or authorize experiments.
- Agent Guide: when and how to call the public tools.
- Current support: Target and mode boundaries.
- API reference, Provider contracts: advanced configuration, replacement and recovery.
- Evidence strategy: basic, dual and actual evidence acquired.
- Security: trusted providers, host permissions and adoption.
The default bundle offers preparation until compatible work providers are attached. The shipped starter supplies its own composition. Built-in model providers support persona/prompt; other Targets require matching providers. No candidate is automatically adopted. DUO inner costs exclude Calling Agent inference and local resources. Python/YAML compatibility remains behind /legacy; native use needs no Python.
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