@dsh-cc/command-skillsHuman-facing slash command to list available skills with invocation policy
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@dsh-cc/command-skillsHuman-facing slash command to list available skills with invocation policy
@dsh-cc/command-statusHuman-facing slash command for a session status summary
@dsh-cc/compaction-basicCC BasicCompactionEngine subclass carrying per-agent /compact preservation hints
@dsh-cc/compaction-cost-gateCost-gated plan-step compaction: fire compactNow at todo boundaries only when projected input-token savings beat the prompt-cache rewrite price plus unamortized debt
@dsh-cc/compaction-microReplay-safe model-free microcompaction of stale tool-result surface nodes
@dsh-cc/context-crusherCCR reversible tool-output compression: compress large grep/log tool results, cache the original, retrieve it via context_retrieve
@dsh-cc/hook-protocolShared Claude Code / Codex hook wire protocol: matcher engine, stdin/exit-code/stdout codec, multi-hook merge, and hook/* session events
@dsh-cc/hooks-claude-codeBridge plugin: run a Claude Code hooks.json / settings hook config on the DeepSeek Harness interception seams
@dsh-cc/model-aliasesClaude Code-compatible model alias resolution for the DeepSeek Harness
@dsh-cc/output-stylesClaude Code-compatible output style selection for the DeepSeek Harness
@dsh-cc/plugin-loaderLoad Claude Code plugin.json manifests as in-memory dsh plugin mounts
@dsh-cc/plugin-managerManage Claude Code plugin state files (marketplaces, installs, per-scope settings) in byte-shape parity with the real CLI
@dsh-cc/progress-rebuildStructured progress state + post-compact context rebuild: derives a typed per-session progress brief from session events (goal fold, todo snapshot, verified bash receipts, last user message) and re-injects it after a successful compaction/end; default off
@dsh-cc/serena-firstSerena-first prompt steering on the CC preset: a registered policy section plus replace-not-mutate appends to the upstream tool:read / tool:grep sections while a serena MCP server is ready
@dsh-cc/session-title-providerCC host-plane first-prompt session-title provider on the haiku cheap lane
@dsh-cc/tool-append-orderCache-stable tool ordering on the system-prompt/assemble waterfall: each scope's emitted tool sequence keeps its positions and new tools append lexicographically at the tail
@dsh-cc/tool-manage-skillCC-style manage_skill tool: create/update/delete/list learned skills under $DSH_HOME/learned-skills via the shared LearnedSkillStore, gated by the cc-learn.enabled setting
@dsh-cc/tool-notebook-editNotebookEdit model tool that edits Jupyter notebook (.ipynb) cells over the ctx.fs seam, aligned with Claude Code's NotebookEditTool replace/insert/delete, cell addressing, and read-before-write semantics
@dsh-cc/tool-searchDeferred tool registration and a ToolSearch model tool that loads heavy tools on demand
@dsh-cc/tool-sleepSleep model tool over a cooperative AbortSignal wait: align with Claude Code's SleepTool duration, interrupt-cancel, and concurrency semantics
@dsh-cc/tool-structured-outputStructuredOutput tool that validates model input against a caller-supplied JSON schema and returns it verbatim, aligned with Claude Code's SyntheticOutputTool
@dsh-cc/tool-use-summaryTool Use Summary (TUS) pipeline: fire-and-forget cheap-lane digests of large tool results, stored in an append-only per-session ledger and consumed at compaction time
@dsh-cc/tool-web-fetchCC-style web_fetch replacement with an optional prompt: summarizes the fetched page on the cheap lane (haiku alias) when configured; passing a prompt without haiku fails before fetching
@dsh-cc/tool-workflowCC-parity dynamic workflow tool: inline meta extraction, saved-source resolution, async launch with a session-scoped run registry and exactly-once completion delivery
機能のキーワードやカテゴリで絞り込み、更新日や GitHub Star で並べ替えます。
紹介、AI 分析、元の README を読み、プラグインの機能を確認します。
互換性、依存関係、手順を確認し、利用可能なインストールコマンドをコピーします。
DeepSeek Harness のコミュニティプラグイン集です。紹介、ソースへのリンク、インストール手順をまとめ、拡張機能の検索と比較を支援します。
いいえ。詳細ページは記録された互換性と依存関係を表示します。不明は互換性ありを意味しません。導入前にプロジェクトの文書を確認してください。
詳細ページのインストール欄を開き、コマンドがあれば Harness 環境で実行します。ない場合はプロジェクトの README に従ってください。