Plugins
Browse, filter, and install DeepSeek-Harness plugins.
5 plugins found
dsh-plugin-autoevo
klarkxy/dsh-plugin-autoevo
Search-first capability workflow for DSH agents (v1.0.0): reuse local tools or review exact-source plugins before installation, adapt or create capabilities in managed source work, and use receipts that distinguish installed, loaded, activated, and verified states; version tools cover rollback, adoption, and upstream updates.
dsh-jev-advisor
gordan-code/dsh-jev-advisor
Adds human-facing TypeSafe Jev advice to DSH multiple-choice prompts, with recommendations, probabilities, confidence, close-call warnings, copyable suggestions, one-click adoption, profile-scoped card layout persistence, temporary decision preferences, and optional request previews with common-credential masking.
novelAssist-dsh (plugin)
fenghuolinshan/novelassist-dsh
Long-form novel writing plugin: each book is a git repository of frontmatter files, with 39 DSH domain tools and a web writing UI. Deep import drafts candidates, AI adoption into canonical assets requires DSH approval, and deterministic continuity checks ship with a report-only benchmark. Independent open source (MIT), not an official DeepSeek product; requires Node >= 24.11.0 and currently targets DSH 0.1.2-rc.1.
dsh-plugin-adoption
anguis-l/dsh-plugin-adoption
Ranks DSH plugins by real monthly npm downloads instead of GitHub stars, and names the plugins that star ordering under-rates. It reports the disagreement between the two orderings rather than a single quality verdict, and every number is a live read from npm's public downloads endpoint at call time, not a stored snapshot. A second dimension answers what downloads cannot: it reads the tools version line a plugin declares in peerDependencies and compares it with the version running here, so a popular plugin that cannot be installed on this host is reported instead of recommended. Read-only GETs, no HTTP route of its own.
duo (dsh-plugin)
cz-zl/duo
DSH plugin for bounded agent evaluation: compare an original with candidate prompt or supported configuration changes against user-supplied checks, record evidence and costs, and leave adoption to the user.