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dsh-models-radar

Model capability radar and benchmark dashboard for the DeepSeek Harness Web GUI.

UI & ProductivityDeveloper ToolsBrowser & Web
3GitHub Stars2ForksUpdated2026-09-28

Install

$ dsh plugin --profile web add github:hi-fangj/dsh-models-radar

Plugin 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.

source-grounded
dsh-models-radar integrates crowd-benchmarked model capability metrics from codexradar into the DeepSeek Harness Web GUI. It provides a dedicated Model Radar page in Settings featuring capability overviews, 24h and 7d IQ trends, cost versus IQ scatter plots, community ratings, and semantic task diagnostics across DeepSWE and Pompeii benchmark channels. Additionally, it injects a live DeepSWE capability capsule into the conversation composer dock alongside the active model selector.

Key Capabilities

  • Adds a dedicated Model Radar section under Web GUI Settings via settings.section
  • Displays a live DeepSWE capability capsule and popover beside the conversation composer model selector
  • Provides multi-channel benchmark visualizations for DeepSWE code-repair and Pompeii visual reconstruction
  • Charts 24-hour and 7-day IQ trends with capability band coloring and summary statistics
  • Visualizes Cost vs IQ tradeoffs across composite cost, time cost, and token pricing
  • Presents 7-day and 24-hour rolling community experience ratings
  • Proxies upstream requests through the host with local snapshot caching and freshness windows

Useful For

  • Comparing benchmark intelligence and cost efficiency across different model tiers before selecting a session model
  • Tracking hourly and weekly model capability shifts and leaderboard rankings directly within DeepSeek Harness
  • Inspecting task-level repair performance, majority votes, and language breakdowns

Who It Fits

  • DeepSeek Harness Web GUI users selecting optimal models for development tasks
  • Developers seeking model benchmarking and cost-performance analytics inside their workspace

Documented Limitations

  • Requires DeepSeek Harness Web GUI and Node.js 22 or newer
  • Dependent on upstream reachability of api.codexradar.com for live metric refreshes (falls back to local snapshots when offline)
  • Composer capability readout is hidden for models absent from the benchmark leaderboard

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 1 runtime, 1 development, 9 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

info
License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
hi-fangj/dsh-models-radar
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
33dad59 · 2026-10-20

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
3GitHub stars
Forks
2
Open issues
0
Last commit
2026-09-28
Last release
2026-09-28
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