封面參考（原作）： Sekiro: Shadows Die Twice · 原作宣傳圖，由 IGDB 提供。圖片版權屬原權利人，供辨識原作使用，不代表此重寫／模組專案的實際畫面。

來源維護者： AKJama · 版本： aa2c806a9f68 · 整理日期： 2026-10-12

文件授權： MIT · LICENSE-APACHE · LICENSE-MIT · 本文形式： README 翻譯

下文為來源 README 的繁中翻譯，由 Kirikirin 使用 AI 輔助整理；功能、完成度與測試結果均為原作者描述，本站未逐項實機驗證。圖片改為來源連結，指令與技術識別保留原文。

sekiro-rs

一個以 Rust 和 Bevy 重新實作的《隻狼：暗影雙死》，可在你自己安裝的遊戲副本上執行。

這是一個供研究用的粉絲專案。
它與 FromSoftware 或 Activision 沒有任何關聯，也未獲其背書。
此儲存庫中沒有任何遊戲檔案，只有程式碼。
若要建置任何東西，你需要自己的《隻狼》副本（Steam，v1.6.0.0），此處的工具會從中在你的機器上產生資料。

運作方式

《隻狼》是資料驅動的，因此本專案不手寫其行為，而是重建引擎並餵入遊戲自身的資料：

行為	遊戲將其保存在何處	sekiro-rs 的做法
玩家狀態機（輸入、防禦、格擋、攻擊、跳躍、閃避）	Havok Script 位元組碼（`c0000.hks`）	在以 Rust 撰寫的小型 Havok Script VM 中執行
狀態與動畫選擇	Havok 行為圖	行為圖執行階段
時序（命中影格、格擋窗口、取消窗口）	TAE 事件	TAE 執行階段
數值（傷害、架勢、防禦率、恢復）	PARAM 表	由 Paramdex 定義驅動的 Param 讀取器
動畫	Havok 曲線壓縮 HKX	解碼為帶有根運動的取樣片段
角色	FLVER、TPF、MTD	匯出為帶骨骼、帶貼圖的 GLB
關卡	MSB、地圖元件、Havok 碰撞、邊緣與鉤索邊緣	全部十張地圖皆已匯出且可行走
敵人 AI	Lua 5.0 戰鬥腳本、EMEVD 事件腳本	自有的 Lua VM 與目標執行階段；Boss 階段來自地圖的事件
渲染	GPARAM 繪製參數、已編譯著色器	霧、曝光、色調映射、泛光與調色，皆從遊戲自身的著色器重新實作（`docs/SHADERS.md`）
引擎端戰鬥規則	執行檔	透過靜態分析還原，並改寫為原創 Rust（`docs/COMBAT-RULES.md`）

狀態

開發中。
目前可執行的內容：

戰鬥： 格擋、防禦、雙向架勢、危險攻擊與識破、忍殺（使用遊戲自身的投擲配對與忍殺鏡頭）、死亡與重生。
Boss 與敵人： 葦名城屋頂的巨型忍者梟（兩個階段、他的道具）、天守閣屋頂的葦名弦一郎（兩次忍殺、巴流交接、他的落雷與雷反）、葦名士兵；遊戲中放置的每個角色都能依 id 載入。
Boss 大腦： 一個會學習你如何戰鬥並讓 Boss 適應的 AI（docs/BRAIN.md），適用於梟、弦一郎與士兵。
移動： 跑步、衝刺、帶空中控制的跳躍、墊步、蹲下、邊緣懸掛與攀爬、鉤索（弧線、空中與連鎖）、貼牆、游泳與潛水、墜落死亡。
世界： 全部十張地圖皆可載入且可行走，包含光照探針、點光源、分層苔蘚與雪材質，以及遊戲的霧、色調映射、泛光與色彩調色。
尚未完成： 遊戲的粒子效果（目前使用簡單替代品）、天空穹頂、開始與暫停選單以外的選單、道具、義手忍具與武技、潛行，以及大多數敵人的特殊機制。

詳細狀態見 STATUS.md 與 docs/PROGRESS.md。

建置與執行

需要 Windows、Rust（stable、MSVC，含 Visual Studio C++ 建置工具），以及你自己的 Steam《隻狼》v1.6.0.0 副本。
若遊戲不在預設 Steam 位置，請用 --game <folder> 或 SEKIRO_DIR 環境變數將工具指向你的安裝位置。
擷取只會讀取遊戲資料夾，並將所有內容寫入被 gitignore 的 cache/ 資料夾（總計約 50 GB，請預留空間）。

# 1. Public community reference files (archive keys, file names, param definitions)
./tools/fetch-refs.ps1
# 2. Unpack your install into cache/raw (about 32 GB)
cargo run --release -p sekiro-extract -- unpack
# 3. Params first, then the maps (the character list comes from the maps)
cargo run --release -p sekiro-extract -- params
foreach ($m in 'm10_00_00_00','m11_00_00_00','m11_01_00_00','m11_02_00_00','m13_00_00_00','m15_00_00_00','m17_00_00_00','m20_00_00_00','m25_00_00_00','m89_00_00_99') { cargo run --release -p sekiro-extract -- map $m }
# 4. Characters and animations (defaults to Wolf and every placed character)
cargo run --release -p sekiro-extract -- models
cargo run --release -p sekiro-extract -- anims
# 5. Play
cargo run --release -p sekiro-game

遊玩基準遊戲

不需要帳號、金鑰或模型：這是 FromSoftware 所寫的遊戲，每個敵人都在執行其原版 AI。

不帶參數執行遊戲會開啟開始選單：選擇戰鬥、地點、AI（保持「Lua」，即遊戲自身的 AI）、一天中的時間與無敵模式，然後按 Start。
戰鬥中按 Esc 會開啟暫停選單（繼續、返回開始選單、離開）。

相同的選擇也可作為命令列旗標使用，會跳過選單：

$game = 'target/release/sekiro-rs.exe'
& $game --arena owl --progression castle-roof          # Great Shinobi Owl on the castle roof
& $game --arena genichiro --progression castle-roof    # Genichiro on the castle keep roof
& $game --arena genichiro --genichiro-phase tomoe       # straight to the Way of Tomoe lightning phase
& $game --play --enemy soldier                          # an Ashina soldier on a flat floor
& $game --play --map m11_00_00_00 --start 3 --no-enemy  # walk around a map

實用旗標：--progression castle-roof（狼在遊戲該時間點的攻擊力）、--god（你不會死）、--immortal（你不會死但架勢仍會破）、--hour 0-23（一天中的時間）、--enemy cXXXX（依 id 指定任何角色）。

操作：WASD 移動、滑鼠鏡頭、滑鼠左鍵攻擊、滑鼠右鍵防禦與格擋、Space 跳躍、Shift 墊步（按住衝刺）、C 蹲下、Q 鎖定、E 抓住邊緣或貼牆、F 鉤索、Esc 暫停選單。
遊戲手把也可使用。

Boss 大腦

Boss 大腦以模型驅動的控制器取代 Boss 的招式選擇，該控制器會學習你如何戰鬥並適應，同時 Boss 保留自己的招式、時序與規則。
它只看得到玩家能看到的東西，並且會跨工作階段記住你（記憶儲存在被 gitignore 的 logs/memory/）；在我們的測試中，大約 20 場戰鬥後它會變得非常難纏。
它目前支援巨型忍者梟、弦一郎與葦名士兵。

它有兩個部分：

教練會檢視你的戰鬥（每場戰鬥後，以及戰鬥中約每 30 秒），並寫出一份作戰計畫。它透過你自己訂閱上的命令列代理執行，因此不需要 API 金鑰。
檢查點選擇器（選用）是一個小而快的模型，會在戰鬥中的關鍵時刻切換教練準備好的計畫。它使用 OpenAI API，需要 API 金鑰。

建議設定：Codex 教練加上 OpenAI 檢查點選擇器

安裝 Codex CLI 並以你的 ChatGPT 方案登入（codex login）。
遊戲會以隔離方式啟動它，不帶你其他的 Codex 設定、記憶或專案檔案。
選用，用於檢查點選擇器：將 .env.example 複製為儲存庫資料夾中的 .env，並設定 OPENAI_API_KEY。
.env 已被 gitignore；切勿提交它。
遊玩：

& $game --arena owl --progression castle-roof --brain coach --coach codex --brain-overlay
& $game --arena genichiro --progression castle-roof --brain coach --coach codex --brain-overlay

或在開始選單中選擇「Coach brain」作為 AI。

成本與速度

於 2026 年 10 月 11 日測量：

部分	透過何者執行	每次呼叫的典型時間	每次呼叫的典型 token 數	由誰付費
教練，`--coach codex`（預設模型 `gpt-6.1-sol`）	Codex CLI	約 5 至 25 秒	約 11k 至 19k	你 ChatGPT 方案的使用量
教練，`--coach claude`	Claude Code CLI（`claude -p`）	約 60 至 120 秒	約 96k 至 161k	你 Claude 方案的使用量
教練，`--coach api`	OpenAI API	取決於模型	與 Codex 類似	API 金鑰，計費
檢查點選擇器（`gpt-6-luna`）	OpenAI Decisions API	快速，約 100 位元組的請求	約 300	API 金鑰，計費（一場 9 場戰鬥的工作階段約 $0.002）

Codex 教練是建議選項：在我們的測試中，它是最快且最精簡的。
Claude 教練可用但很慢，因為 CLI 每次呼叫都會載入你整個 Claude Code 設定；如果你偏好它，你自己的編碼代理可以幫你調校。
覆蓋層頁腳（--brain-overlay，F8）會計算當前戰鬥與工作階段的 token 數。

其他大腦選項

--player <name> 為每位玩家保留獨立的設定檔（Boss 的一般知識是共用的；它對你學到的東西屬於你）。
--brain-memory off 在讀寫記憶的情況下遊玩。
--brain-stage lua|early|alive|outsmarted 重播梟學習的已儲存階段，用於比較與錄影。
--brain-token-budget N 在 N 個 token 後停止模型呼叫，並回退到 Boss 自身的 AI；--brain-budget USD 對計費的 API 花費做同樣的事。

詳細資訊，包括計畫、檢查點與記憶如何運作：docs/BRAIN.md。

版面配置

crates/formats：遊戲格式的讀取器。
crates/extract：sekiro-extract，將你的安裝轉換為 cache/。
crates/hks：Havok Script VM。
crates/sim：不依賴 Bevy 的模擬（行為圖、TAE、輸入、身體、戰鬥）。
crates/game：sekiro-rs Bevy 應用程式。
docs/：格式、參數、玩家腳本介面與戰鬥規則，以我們自己的文字撰寫。

已測試的設定

Windows 11 64 位元、Steam《隻狼》app 814380、build 5794815（遊戲版本 1.6.0.0）、Rust 1.99（MSVC）、Bevy 0.19.1。
其他遊戲版本未經測試。

研究界線

格式與引擎研究在本機、被 gitignore 的資料夾（cache/ 與 re/）中進行，且從不提交。
這包括擷取的遊戲資料、分析資料庫與任何反編譯器輸出。
此儲存庫中的 Rust 程式碼是原創的，根據該研究與公開社群文件撰寫；沒有任何遊戲程式碼被載入、連結或複製到其中。
引擎端規則以我們自己的文字記錄於 docs/，並附有信賴度標籤。

這是一個 AI 輔助專案，以 Anthropic Claude Code 與 OpenAI Codex 開發，並由作者審閱與遊玩測試。

免責聲明

sekiro-rs 是一個非官方、非商業的粉絲專案，為遊戲引擎設計與互通性的教育與研究而製作。
它與 FromSoftware, Inc. 或 Activision Publishing, Inc. 沒有任何關聯，也未獲其背書或贊助。

《隻狼：暗影雙死》及其所有內容，包括角色、模型、貼圖、動畫、音訊、資料與商標，均屬於 FromSoftware, Inc. 及其發行商。
這些內容均未包含在本儲存庫中或隨其散布。
本儲存庫僅包含為本專案撰寫的原創原始碼與文件。

你需要自己合法購買的遊戲副本；工具會在本機讀取它，且從不修改安裝或存檔。
所有衍生自遊戲的內容都留在你機器上被 gitignore 的 cache/ 與 re/ 資料夾中。請勿提交、上傳或分享這些資料夾或其中產生的任何內容。
本專案僅限單人遊玩。它沒有線上功能，也不會與線上服務或反作弊系統互動。
不提供任何保固；使用風險自負。

如果你是權利持有人且對本專案有疑慮，請開啟一個 issue，將會迅速處理。

本專案所建基的社群研究見 CREDITS.md。

依你的選擇，以 MIT 或 Apache-2.0 其中一種授權。

授權與來源聲明

原始 README 與翻譯沿用 MIT 授權；本次修改為繁中翻譯、連結與排版調整。可修改的 Markdown、原始 README、LICENSE 與 NOTICE 收錄於頂部文件包。原作遊戲內容與商標不因此獲得授權。

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隻狼：暗影雙死 Rust/Bevy 重實作