プラグイン

Drives a Chromium browser you are already running — Chrome, Edge, Brave, Vivaldi, Opera, Chromium, Arc or Thorium — over one long-lived CDP connection, so the remote-debugging approval is asked once instead of per command. Commands for tabs, navigation, JS evaluation, DOM snapshots, clicks, typing, screenshots and CSS/DOM/pixel assertions go over a loopback HTTP route that the agent calls with the shell tool it already has, so no new tools are registered, and the plugin registers its own usage skill with no runtime dependencies.

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.

DeepSeek Harness 向けの適応型モデル検出、評価、階層化、サブエージェントルーティング。

DeepSeek Harness (DSH) 用 Langfuse オブザーバビリティ:セッション ID で集約されたターンごとのトレースツリーを提供し、プロンプトのバージョニングと評価に対応。

凍結されたリクエストサーフェスの証拠をもとに、実際の DeepSeek Harness のターンを Standard、Minimal、Anchored、またはプラグイン候補に対してリプレイ。

実際に読み込まれた DeepSeek Harness プラグインを確認し、trapstreet.run の公開評価ボードを照会します。

DSH 向けに、すでに起動中の Chrome/Edge へ接続する CDP ブリッジ：HTTP + WebSocket 経由でスクリーンショット、ピクセルアサーション、DOM/CSS チェック、ページの JS 評価を実行。子プロセスゼロ、npm 依存ゼロ、使用ごとの承認もゼロ。

Registers one `valuation_service` tool that reads a workpaper tree of 01/02/04 JSON and returns one unified schema: six ratio groups, forecast ratios, DCF input slots with explicit missing markers, comparable PS/PE and IRR. Deterministic and local: missing WACC, growth, capex, D&A or working-capital inputs stay blank instead of being guessed, and assumption differences are flagged for review.

Checks a bid evaluation scoring matrix for internal arithmetic consistency: that each factor's maximum, the scores recorded and the total agree with each other. Reports the differences it finds; it does not judge whether the evaluation itself was correct or fair.

Cross-session memory for your dsh agent: remembered, recalled, and re-verified instead of assumed.

DSH 试金石：给「自改造」补上评测这一环——用一套金标准用例，把改动前 vs 改动后跑一遍、打分、对比，好就留、不好就撤。

Retrospective agent-session evaluation: deterministic grade cards and cross-session regression diffs from persisted logs — no benchmark runs, no LLM judges.

Measure whether a dsh setup change actually helped: register repeatable cases, run them, and diff the results before and after you change rules, skills, or models.

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.

DSH web plugin: a LiveBench tab in the Trajectory view (right of 对话/轨迹). Run LiveBench evaluations against every model configured in the DeepSeek Harness — pick provider/model, category, task, release and question range from dropdowns, watch progress, and

Paired experiments and promotion gates for DSH plugins.

Runs one coding prompt across multiple configured models in isolated Git worktrees, streams side-by-side tool traces and results, and commits the candidate the user adopts for later rounds.

Evidence-first multi-model coding comparison workbench for DeepSeek Harness

Audit an agent harness against the harness-evaluation criteria, with machine-enforced evidence validation.

メタデータのみのDSHターン、モデル、ツール、承認、リトライ、エラーイベントをTuning Enginesへエクスポート。ガバナンス付きトレース、ポリシー評価、コスト分析、Work Sessionレビューに利用可能。ディスク永続化されたリトライキュー付き。

エージェント評価プラットフォーム。ベンチマーク用 YAML、ヘッドレス実行のオーケストレーション、トレースベースのメトリクス、実行レポートに対応します。