プラグイン

Insta360 GO 3S 向けの自動日次コンテンツパイプライン: 水槽映像の BLE/WiFi リモート撮影、無線取り込み、判断ログ付き ffmpeg 品質評価、自動編集(セグメント選択、TTS ナレーション、音楽、字幕)、および biliup による Bilibili アップロード(既定でドライラン)。

DeepSeek Harness 向けの Kimi WebBridge ホストプラグイン：ローカルの kimi-webbridge デーモンを通じて、ユーザーの実際のブラウザを操作するモデルツール（ナビゲート、スナップショット、クリック、入力、evaluate、スクリーンショット、ネットワーク検査、タブ管理）。

DeepSeek Harness 向けのローカルセマンティックコード検索：フラグメント単位のシンボル対応インデックス、オフラインの字句埋め込みまたは OpenAI 互換エンドポイント、RRF で融合したベクトル + BM25 のハイブリッド検索 — 3 つの dsh ツールと sema CLI。

系譜付きの決定・目標メモリ。明示的なコマンドとモデルツールが決定を決定論的に記録し、ステータスカードがcompactionをまたいで決定を再固定します。BM25+jieba検索を備えたロスレスなイベントストリームがそれを支え、シナリオレベルの忠実度回帰スイートがリリースをゲートします。

メイン会話の横にネイティブのサイドバイサイドチャット：完全なネイティブ UI を持つ独立したアーカイブ済み DSH セッションで、親コンテキストのオンデマンド取得、選択範囲の引用、保持または削除のライフサイクルを備えます。

ガイド付きケース作成、アサーション、Web比較レポート、復旧、ポリシーゲートにより、再現可能なDSHプロファイルおよびパッチ実験を実行。

DeepSeek Harness 向けに、30 種類の定番オープンソーステーマパレット（Catppuccin、Nord、Tokyo Night、Gruvbox、Solarized など）を公式の ThemeService トークンにマッピングし、ライブで色/フォント/角丸を調整できる Style Settings パネルと、設定パックを共有するための JSON エクスポート/インポートを提供します。

開発前にローカルコードと GitHub/npm を調べて再利用可能な実装を探し、再利用と書き直しを比較し、アーキテクチャの結合度を確認する。

現在のセッションから利用可能なスキルをスキャンし、最近の会話との関連性によってランク付けします。

DeepSeek Harness 向けの、モデルネイティブなメタエージェントプラグイン。実行時にモデルが5つのエージェント型ワークフローパターン(プロンプトチェイニング、並列ワーカー、ルーター、スーパーバイザー、評価ループ)からタスク固有のワークフローを合成し、ツールとサブエージェントを協調させます。

md/txt/docx/pdf から監査可能なナレッジベースパック(SQLite FTS5)を構築します。決定的な検索と原文読み取りに対応。

Prior-art search for an idea: three tools find similar open-source projects on GitHub, rank them by a score computed in code from a relevance judgement and the star count, then read the chosen repositories (README, dependency manifest, directory tree, key files) and report the class and function declarations found in each file header; files_read lists what was actually fetched.

All-in-one local memory: JSONL files per scope (session, project, global, or a custom name) with per-scope dedup, four model tools (memory_save, memory_search, memory_list, memory_forget), automatic recall injected into agent pre-step, and a settings panel. Retrieval combines lexical IDF with a local embedding backend, which the panel can install and manage itself.

Routes DSH web search through the current session's model and a self-hosted retrieval backend.

A Cyrene-themed agent for DSH, with a customizable look (palette, wallpaper, particle effects, background music, typing sound) and a code security scan. It carries a worldbook, long-term memory and a speech-style correction layer (every reader gets their own Cyrene), plus retrieval over the script to back up its answers.

Cross-compaction memory for a long session: on compaction it stores what is being dropped, and at question time it injects a few relevant passages (or nothing) so the model can recall what you decided before.

Memory-assembly team for DeepSeek Harness: every message triggers a five-step cognition loop (judge, retrieve, assemble, feedback, calibrate) carried by role-playing subagents (judge, retriever, archivist, advocate, editor, scribe), using BM25 retrieval, time-ordered material, and LLM assembly to build useful material packs injected into linghun. Works with dsh-linghun.

Turns a local Obsidian vault into a dedicated RAG chat panel: a sidebar page with the note browser, the retrieval-augmented chat and the cited source side by side, answering from fully local BM25 plus CJK-bigram retrieval over your notes and streaming through the DSH model channel, with clickable \[n] citations and mtime-based incremental indexing.

Read-only Skill inspector for DeepSeek Harness. It shows which Skills a conversation actually loaded — from observed loading evidence only — and which Skills the current environment can discover, and gives each Skill a detail page whose left column switches between the framework, the evidence, validation, evaluation, step evidence, run logic, the before/after of a modification when there is one, the definition facts and the raw SKILL.md. Declaration and run stay apart: the body is split into structure, declared workflow and progressive disclosure, the run logic is read from local receipts, and every declared step carries its own evidence — no observed evidence is reported as exactly that, not as executed or not executed, and the run's instruction hash sits beside the current definition as match, mismatch or unavailable. The evidence view gives each subject one of three states (declared, observed, unavailable), walks definition → load → use → outcome, names what each stage cannot reach, declines to attribute an outcome to the Skill, and can copy the snapshot out as byte-stable JSON. Validation checks the Agent Skills open standard and the platform profiles separately, each finding on a rule id and labelled standard compliance or platform compatibility. Evaluation keeps repeatable cases with the conditions each run was recorded under and the four stages of runtime evidence, comparing two runs of one case item by item without scoring them. The trigger boundary keeps should-trigger and should-not-trigger prompts, has you run them in a real new session, then records what was observed — whether a load record appeared and whether it was model-invoked or user-explicit; a typed /name is not a natural trigger, and an absent load record is reported as not observed, not as not triggered. The same projections are exposed to the agent as a read-only skill_review tool, which returns a structured review packet and says what it omitted when the packet will not fit whole. The inspector, the evidence chain and these reviews are computed on this machine from the definition and the session receipts; the Chinese reading version sends the body through the host's model when you ask for it, keeping code fences, paths and frontmatter verbatim and storing the result on this machine. A Skill can also be cloned into a local copy. It does not write back to the source Skill and does not run its scripts.

Reflect2Evolve memory plugin: layered L1/L2/L3 memory, reflection-weighted value backprop, cross-task policy induction, skill crystallization, and three-tier retrieval for OpenClaw, Hermes Agent, and DeepSeek Harness.

Windows system-drive (C:) cleanup for DSH: rule-based scan, five-tier safety grading, a staging area with a rollback ledger, UAC elevation, and migration to another drive — a model tool plus a Web GUI panel.

Language-pack framework that rewrites model replies: A is an independent LLM rewrite, B injects FTS5 terminology retrieval into that rewrite, C applies local dictionary and regex rules, and composite runs a pipeline such as B then A then C. Ships a GitHub pack marketplace, a ZIP installer with path, size and file-type checks, and a mandatory risk disclaimer gate.

Persistent project intelligence and memory plugin for DSH: architecture analysis, cross-session context, TODOs, and optional hybrid retrieval

Compares existing DSH sessions or runs controlled A/B trials between agent presets, showing aligned timelines, paired metric deltas, explicit success checks, and exportable reports.