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Skillradar — DSH Plugin for DeepSeek Harness
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dsh-skillradar

Skillradar

Skill Radar for DeepSeek Harness (dsh): scan the current session's visible skills, score their relevance against the recent conversation, and recommend which skill to load. Model tool + optional interactive panel.

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:hellosky983/dsh-skillradar#3d2de61aaa05b5cb9aac0c64b561d2b598ad198b
READMECompatibilityVersions

Compatibility and provenance

Skillradar is published as dsh-skillradar and currently resolves to version 0.1.0. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
github
Registry updated
9/26/2026

Versions

0.1.0stable
9/26/2026
Latest
0.1.0
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
Unavailable
Files
Unavailable
Surface
any
License
MIT
Source
github
GitHub
★ 2
Weekly downloads
0
Last push
9/29/2026
View source ↗
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README

dsh-skillradar

A DeepSeek Harness plugin that scans every skill visible to the current session, scores each against the recent conversation text (English + Chinese token overlap), and returns a ranked recommendation of which skill to load next.

Overview

DSH sessions expose many skills, and neither the model nor the user always knows which one applies. This plugin answers "what should I load right now?" with a concrete, ranked answer. It suits agents and users who work across many skill domains and want a fast, deterministic relevance signal.

Compatibility

  • DSH version: 0.1.0-rc.6
  • Mainline: verified against deepseek-harness mainline snapshots of 2026-08-14
  • Last verified: 2026-08-14

Install / Uninstall

Install (from GitHub):

dsh plugin add github:hellosky983/dsh-skillradar

Or clone and install locally:

git clone https://github.com/hellosky983/dsh-skillradar.git
cd dsh-skillradar
dsh plugin add .

Upgrade: re-run the install command after git pull.

Disable temporarily: remove the plugin row from your profile composition, or run:

dsh plugin remove dsh-skillradar

Uninstall: remove the dsh-skillradar dependency and its bundle entry from the profile package.json, then pnpm install.

Quick start

After install and restart, tell the agent:

Scan the current session and tell me which skill fits this task.

or invoke the tool directly:

skill_radar  # with no arguments, scans the current session

Example output:

Skill Radar — 16 skills visible
  100%  github-upload [github, 仓库, readme, 上传]
   85%  cordis-plugin-development [client, host, cordis, run]

Configuration

OptionTypeDefaultDescription
session_idstringcurrent sessionSession to scan instead of the current one
limitinteger15Maximum number of skills returned

No environment variables, no secrets, no external configuration files.

Permissions & data

  • Reads: the current session's recent message text (last 8000 chars) and the skill catalog via ctx.skills / ctx.sessionQuery.
  • Writes: nothing. The tool only returns a scored list.
  • Network: none. All scoring is local text analysis.
  • Credentials: none.

Troubleshooting

  • Tool not visible after install: restart dsh, or check that the bundle row appears in dsh --dump-config.
  • "cannot get property tools without inject": the plugin requires inject = ['tools']; reinstall from the latest commit which declares it.
  • Logs: dsh profile logs under ~/.dsh/profiles/<name>/; set DEBUG=cordis* for component tracing.
  • Rollback: revert to the previous plugin version by reinstalling the earlier git commit.

Development

git clone https://github.com/hellosky983/dsh-skillradar.git
cd dsh-skillradar
# smoke test with a mock ctx:
node --input-type=module -e "import { apply } from './index.js'; apply({get:()=>undefined, tools:{register:()=>{}}}); console.log('ok')"

The client/ directory contains the optional interactive radar panel (dynamic Cordis plugin form) for the web UI.

Contributions: open issues and pull requests on GitHub. Keep changes dependency-free (scoring is self-contained). Report bugs with a minimal reproduction case.

License & security

MIT — see LICENSE. No secrets are shipped; report security issues privately via GitHub issue (repo is public) or email to the repository owner.