dsh-robotic-harness
An installable DeepSeek Harness bundle for robotics and embodied-intelligence workflows, spanning asset inspection, MuJoCo simulation, diagnostics, experiment evidence, and reports.
Install
$ dsh plugin --profile rh-demo add ./packages/dsh-bundlePlugin Overview & Capabilities
AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.
Key Capabilities
- Inspects and validates URDF, MJCF, SDF, mesh, CAD inventory, and robot topology data.
- Runs MuJoCo pick-and-place simulations with deterministic fault injection, replay, benchmarks, and sim-to-real gap reports.
- Analyzes control traces, trajectories, planned-versus-actual behavior, PID configurations, and system-identification jobs.
- Provides perception, telemetry, diagnostic, dataset, experiment, knowledge-search, literature-search, training-workflow, and reporting tools.
- Exports evidence bundles with hash manifests, Markdown reports, timelines, dashboards, charts, and run artifacts.
- Uses DSH tools and skills with a bundled Python worker communicating over stdio JSON.
Useful For
- Prototype and investigate fault-injected MuJoCo pick-and-place experiments.
- Inspect robot assets and validate simulation-oriented robot descriptions.
- Collect telemetry and evidence for human-reviewed failure diagnosis.
- Create reproducible experiment bundles, benchmark reports, and visual run summaries.
- Prepare robotics data, perform non-destructive transformations, and export supported dataset formats.
Who It Fits
- Robotics and embodied-AI researchers.
- DeepSeek Harness users building robotics workflows.
- Developers testing simulation, diagnostic, and experiment-reporting pipelines.
Documented Limitations
- The project is described as an early demo and was validated only in a limited local Windows, Anaconda Python 3.10, and DSH 0.1.0-rc.6 environment.
- Installation requires the DSH CLI, pnpm, and a Python 3.10 environment; the package specifies Node.js 22.19 or later.
- Live ROS 2 tools require the ros2 CLI; unavailable backends return structured unavailable diagnostics.
- Real-robot functionality is limited to preflight and state-machine workflows until a hardware adapter exists; simulation is not real-robot evidence.
- SolidWorks files are inventoried but not parsed, and some exports or integrations depend on optional backends.
- Training tools provide workflow scaffolding and a placeholder training-script template rather than real model code.
DSH Compatibility
Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.
Security Signals
Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.
package.json declares 0 runtime, 6 development, 0 peer, and 0 optional dependencies.
GitHub reports the repository license as MIT.
A root package.json was captured and can be inspected by the registry.
Public GitHub source metadata is available for this registry snapshot.
Source & Registry Notes
Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.
- Source repository
- dingkaihu63/dsh-robotic-harness
- Registry source
- GitHub · dsh-plugin topic
- Registry classification
- Plugin Bundle
- Source checked
- 8cc09e7 · 2026-09-26
This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.
Repository Activity
- GitHub stars
- 22GitHub stars
- Forks
- 4
- Open issues
- 0
- Last commit
- 2026-08-18
- Last release
- No release detected
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