@spaceflow/cli - npm Package Compare versions

Comparing version 0.37.0 to 0.38.0

dist/cli.js

@@ -162,3 +162,3 @@ #!/usr/bin/env node
         name: "spaceflow-meta",
-        version: "0.37.0"
+        version: "0.38.0"
     });
@@ -175,3 +175,3 @@ await client.connect(transport);
         name: "spaceflow",
-        version: "0.37.0"
+        version: "0.38.0"
     });
@@ -253,6 +253,75 @@ // 缓存已连接的项目 MCP Client（按 cwd）
     });
+    // Meta-tool 3: list_resources
+    server.registerTool("list_resources", {
+        description: "列出指定项目目录下可用的 Spaceflow MCP 资源列表",
+        inputSchema: z.object({
+            cwd: z.string().describe("项目根目录的绝对路径")
+        })
+    }, async ({ cwd })=>{
+        try {
+            const client = await getProjectClient(cwd);
+            const { resources } = await client.listResources();
+            return {
+                content: [
+                    {
+                        type: "text",
+                        text: JSON.stringify(resources.map((r)=>({
+                                name: r.name,
+                                uri: r.uri,
+                                description: r.description,
+                                mimeType: r.mimeType
+                            })), null, 2)
+                    }
+                ]
+            };
+        } catch (error) {
+            return {
+                content: [
+                    {
+                        type: "text",
+                        text: `Error: ${error instanceof Error ? error.message : String(error)}`
+                    }
+                ],
+                isError: true
+            };
+        }
+    });
+    // Meta-tool 4: read_resource
+    server.registerTool("read_resource", {
+        description: "读取指定项目目录下的 Spaceflow MCP 资源内容",
+        inputSchema: z.object({
+            cwd: z.string().describe("项目根目录的绝对路径"),
+            uri: z.string().describe("资源 URI（如 spaceflow://config）")
+        })
+    }, async ({ cwd, uri })=>{
+        try {
+            const client = await getProjectClient(cwd);
+            const result = await client.readResource({
+                uri
+            });
+            const texts = result.contents.map((c)=>"text" in c ? c.text : JSON.stringify(c));
+            return {
+                content: [
+                    {
+                        type: "text",
+                        text: texts.join("\n")
+                    }
+                ]
+            };
+        } catch (error) {
+            return {
+                content: [
+                    {
+                        type: "text",
+                        text: `Error: ${error instanceof Error ? error.message : String(error)}`
+                    }
+                ],
+                isError: true
+            };
+        }
+    });
     // 启动 stdio 传输
     const transport = new StdioServerTransport();
     await server.connect(transport);
-    console.error(`[spaceflow] MCP Meta Server 已启动 (v${"0.37.0"})`);
+    console.error(`[spaceflow] MCP Meta Server 已启动 (v${"0.38.0"})`);
     // 保持进程运行
@@ -296,3 +365,3 @@ await new Promise((resolve)=>{
     // 4. CLI 版本号（由 rspack DefinePlugin 在构建时注入）
-    const cliVersion = "0.37.0";
+    const cliVersion = "0.38.0";
     // 5. 读取外部扩展列表
@@ -299,0 +368,0 @@ const extNames = readExternalExtensions(projectRoot);

dist/cli.js.map

@@ -1,1 +0,1 @@
-{"version":3,"file":"cli.js","sources":["webpack://@spaceflow/cli/./src/cli.ts"],"sourcesContent":["#!/usr/bin/env node\ndeclare const __CLI_VERSION__: string;\n\nimport { existsSync, readFileSync, writeFileSync, mkdirSync } from \"fs\";\nimport { join, resolve } from \"path\";\nimport { execSync } from \"child_process\";\nimport {\n  SPACEFLOW_DIR,\n  findProjectRoot,\n  ensureSpaceflowPackageJson,\n  ensureDependencies,\n  getDependencies,\n  loadEnvFiles,\n  getEnvFilePaths,\n} from \"@spaceflow/shared\";\nimport { McpServer } from \"@modelcontextprotocol/sdk/server/mcp.js\";\nimport { StdioServerTransport } from \"@modelcontextprotocol/sdk/server/stdio.js\";\nimport { Client } from \"@modelcontextprotocol/sdk/client/index.js\";\nimport { StdioClientTransport } from \"@modelcontextprotocol/sdk/client/stdio.js\";\nimport { z } from \"zod\";\n\n/**\n * Spaceflow CLI — 壳子入口\n *\n * 职责：\n * 1. 确保 .spaceflow/ 目录、package.json、.gitignore 完整\n * 2. 确保依赖已安装（pnpm install）\n * 3. 读取外部扩展列表\n * 4. 生成 .spaceflow/bin/index.js（静态 import 入口文件）\n * 5. spawn 子进程执行 node .spaceflow/bin/index.js\n */\n\n/**\n * 获取有效工作目录\n * 优先使用 SPACEFLOW_CWD 环境变量（MCP 场景由编辑器注入），否则 process.cwd()\n * 注意：不做 findProjectRoot，避免改变 .spaceflow 目录定位逻辑\n */\nfunction getEffectiveCwd(): string {\n  return resolve(process.env.SPACEFLOW_CWD || process.cwd());\n}\n\n/**\n * 从 spaceflow.json / .spaceflowrc 读取外部扩展包名列表\n */\nfunction readExternalExtensions(cwd: string): string[] {\n  const deps = getDependencies(cwd, { local: true });\n  return Object.keys(deps);\n}\n\n/**\n * 生成 .spaceflow/bin/index.js 内容\n *\n * 使用 dynamic import 加载扩展，确保 i18n 在扩展模块执行前已初始化\n * （扩展在 import 阶段就会调用 t() 获取 description，必须先初始化 i18n）\n */\nfunction generateIndexContent(extensions: string[], version: string): string {\n  const dynamicImports = extensions\n    .map(\n      (name) => `    import('${name}').then(m => m.default || m.extension || m).catch(() => null),`,\n    )\n    .join(\"\\n\");\n\n  return `import { exec, initCliI18n } from '@spaceflow/core';\n\nasync function bootstrap() {\n  // 初始化 i18n，再加载扩展（扩展 import 时会调用 t() 获取翻译）\n  initCliI18n();\n\n  const results = await Promise.all([\n${dynamicImports}\n  ]);\n  const extensions = results.filter(Boolean);\n\n  await exec(extensions, { cliVersion: '${version}' });\n}\n\nbootstrap().catch((err) => {\n  console.error(err);\n  process.exit(1);\n});\n`;\n}\n\n/**\n * 生成 .spaceflow/bin/index.js 文件\n */\nfunction generateBinFile(spaceflowDir: string, extensions: string[], version: string): string {\n  const binDir = join(spaceflowDir, \"bin\");\n  const indexPath = join(binDir, \"index.js\");\n\n  if (!existsSync(binDir)) {\n    mkdirSync(binDir, { recursive: true });\n  }\n\n  const content = generateIndexContent(extensions, version);\n\n  // 仅在内容变化时写入\n  if (existsSync(indexPath)) {\n    const existing = readFileSync(indexPath, \"utf-8\");\n    if (existing === content) {\n      return indexPath;\n    }\n  }\n\n  writeFileSync(indexPath, content, \"utf-8\");\n  return indexPath;\n}\n\n/**\n * 执行生成的 index.js\n */\nfunction executeIndexFile(indexPath: string, projectRoot: string): void {\n  try {\n    execSync(`node \"${indexPath}\" ${process.argv.slice(2).join(\" \")}`, {\n      stdio: \"inherit\",\n      env: { ...process.env, SPACEFLOW_CWD: projectRoot },\n    });\n  } catch (error: any) {\n    // execSync 在子进程非零退出时抛出错误\n    // 子进程的 stdout/stderr 已通过 stdio: \"inherit\" 输出\n    process.exit(error.status || 1);\n  }\n}\n\n/**\n * 检测是否为 MCP 代理模式（纯 mcp，不带 --inspector）\n * 纯 mcp → 启动 meta-tool MCP server（代理模式）\n * mcp --inspector → 走正常命令调用流程\n */\nfunction isMcpCommand(): boolean {\n  const args = process.argv.slice(2);\n  // SPACEFLOW_MCP_PROXY=1 表示当前是被 meta-tool 代理 spawn 的子进程，走正常命令调用流程\n  return args.includes(\"mcp\") && !args.includes(\"--inspector\") && !process.env.SPACEFLOW_MCP_PROXY;\n}\n\n/**\n * 创建一个连接到指定项目 mcp server 的 MCP Client\n * spawn cli.js 自身，子进程走完整命令调用流程（初始化 .spaceflow → mcp server）\n * @param cwd 项目根目录\n */\nasync function connectProjectMcpClient(cwd: string): Promise<Client> {\n  const resolvedCwd = resolve(cwd);\n  const cliPath = process.argv[1];\n  const transport = new StdioClientTransport({\n    command: \"node\",\n    args: [cliPath, \"mcp\"],\n    cwd: resolvedCwd,\n    env: { ...process.env, SPACEFLOW_CWD: resolvedCwd, SPACEFLOW_MCP_PROXY: \"1\" },\n  });\n  const client = new Client({ name: \"spaceflow-meta\", version: __CLI_VERSION__ });\n  await client.connect(transport);\n  return client;\n}\n\n/**\n * 启动 Meta-tool MCP Server\n * 注册 list_tools 和 call_tool 两个元工具\n * 通过 MCP Client SDK 与子进程 mcp server 通信\n */\nasync function startMcpMetaServer(): Promise<void> {\n  const server = new McpServer({ name: \"spaceflow\", version: __CLI_VERSION__ });\n\n  // 缓存已连接的项目 MCP Client（按 cwd）\n  const clientCache = new Map<string, Client>();\n\n  async function getProjectClient(cwd: string): Promise<Client> {\n    const resolvedCwd = findProjectRoot(cwd);\n    let client = clientCache.get(resolvedCwd);\n    if (!client) {\n      client = await connectProjectMcpClient(resolvedCwd);\n      clientCache.set(resolvedCwd, client);\n    }\n    return client;\n  }\n\n  // Meta-tool 1: list_tools\n  server.registerTool(\n    \"list_tools\",\n    {\n      description: \"列出指定项目目录下可用的 Spaceflow MCP 工具列表\",\n      inputSchema: z.object({\n        cwd: z.string().describe(\"项目根目录的绝对路径\"),\n      }),\n    },\n    async ({ cwd }) => {\n      try {\n        const client = await getProjectClient(cwd);\n        const { tools } = await client.listTools();\n        return {\n          content: [\n            {\n              type: \"text\" as const,\n              text: JSON.stringify(\n                tools.map((t) => ({\n                  name: t.name,\n                  description: t.description,\n                  inputSchema: t.inputSchema,\n                })),\n                null,\n                2,\n              ),\n            },\n          ],\n        };\n      } catch (error) {\n        return {\n          content: [\n            {\n              type: \"text\" as const,\n              text: `Error: ${error instanceof Error ? error.message : String(error)}`,\n            },\n          ],\n          isError: true,\n        };\n      }\n    },\n  );\n\n  // Meta-tool 2: call_tool\n  server.registerTool(\n    \"call_tool\",\n    {\n      description: \"调用指定项目目录下的 Spaceflow MCP 工具\",\n      inputSchema: z.object({\n        cwd: z.string().describe(\"项目根目录的绝对路径\"),\n        tool_name: z.string().describe(\"要调用的工具名称\"),\n        tool_args: z.string().optional().describe(\"工具参数（JSON 字符串）\"),\n      }),\n    },\n    async ({ cwd, tool_name, tool_args }) => {\n      try {\n        const client = await getProjectClient(cwd);\n        const args = tool_args ? JSON.parse(tool_args) : {};\n        const result = await client.callTool({ name: tool_name, arguments: args });\n        // 直接返回底层 mcp server 的结果\n        return result as any;\n      } catch (error) {\n        return {\n          content: [\n            {\n              type: \"text\" as const,\n              text: `Error: ${error instanceof Error ? error.message : String(error)}`,\n            },\n          ],\n          isError: true,\n        };\n      }\n    },\n  );\n\n  // 启动 stdio 传输\n  const transport = new StdioServerTransport();\n  await server.connect(transport);\n\n  console.error(`[spaceflow] MCP Meta Server 已启动 (v${__CLI_VERSION__})`);\n\n  // 保持进程运行\n  await new Promise<void>((resolve) => {\n    process.stdin.on(\"close\", resolve);\n    process.on(\"SIGINT\", () => {\n      resolve();\n      process.exit(0);\n    });\n    process.on(\"SIGTERM\", () => {\n      resolve();\n      process.exit(0);\n    });\n  });\n}\n\n// ---- 主流程 ----\n\n// 检测是否为 mcp 命令：直接启动 meta-tool MCP server\nif (isMcpCommand()) {\n  startMcpMetaServer().catch((err) => {\n    console.error(err);\n    process.exit(1);\n  });\n} else {\n  // 正常 CLI 流程\n  // 0. 解析有效工作目录\n  //    effectiveCwd: 用户实际所在目录（保持 process.cwd() 不变，build 等命令依赖它）\n  //    projectRoot:  .spaceflowrc 所在目录（决定 .spaceflow 目录位置和配置读取）\n  const effectiveCwd = getEffectiveCwd();\n  const projectRoot = findProjectRoot(effectiveCwd);\n\n  // 1. 先加载 .env 文件，确保 process.env 在子进程（含 schema 模块求值）前已就绪\n  loadEnvFiles(getEnvFilePaths(projectRoot));\n\n  // 2. 确保 .spaceflow/ 目录结构完整（目录 + package.json + .gitignore）\n  const spaceflowDir = join(projectRoot, SPACEFLOW_DIR);\n  ensureSpaceflowPackageJson(spaceflowDir, projectRoot);\n\n  // 3. 确保依赖已安装\n  // MCP 代理模式下使用 pipe 避免 pnpm install 输出污染 stdout（MCP 协议通道）\n  ensureDependencies(spaceflowDir, process.env.SPACEFLOW_MCP_PROXY ? { stdio: \"pipe\" } : undefined);\n\n  // 4. 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4. 生成 .spaceflow/bin/index.js（静态 import 入口文件）\n * 5. spawn 子进程执行 node .spaceflow/bin/index.js\n */\n\n/**\n * 获取有效工作目录\n * 优先使用 SPACEFLOW_CWD 环境变量（MCP 场景由编辑器注入），否则 process.cwd()\n * 注意：不做 findProjectRoot，避免改变 .spaceflow 目录定位逻辑\n */\nfunction getEffectiveCwd(): string {\n  return resolve(process.env.SPACEFLOW_CWD || process.cwd());\n}\n\n/**\n * 从 spaceflow.json / .spaceflowrc 读取外部扩展包名列表\n */\nfunction readExternalExtensions(cwd: string): string[] {\n  const deps = getDependencies(cwd, { local: true });\n  return Object.keys(deps);\n}\n\n/**\n * 生成 .spaceflow/bin/index.js 内容\n *\n * 使用 dynamic import 加载扩展，确保 i18n 在扩展模块执行前已初始化\n * （扩展在 import 阶段就会调用 t() 获取 description，必须先初始化 i18n）\n */\nfunction generateIndexContent(extensions: string[], version: string): string {\n  const dynamicImports = extensions\n    .map(\n      (name) => `    import('${name}').then(m => m.default || m.extension || m).catch(() => null),`,\n    )\n    .join(\"\\n\");\n\n  return `import { exec, initCliI18n } from '@spaceflow/core';\n\nasync function bootstrap() {\n  // 初始化 i18n，再加载扩展（扩展 import 时会调用 t() 获取翻译）\n  initCliI18n();\n\n  const results = await Promise.all([\n${dynamicImports}\n  ]);\n  const extensions = results.filter(Boolean);\n\n  await exec(extensions, { cliVersion: '${version}' });\n}\n\nbootstrap().catch((err) => {\n  console.error(err);\n  process.exit(1);\n});\n`;\n}\n\n/**\n * 生成 .spaceflow/bin/index.js 文件\n */\nfunction generateBinFile(spaceflowDir: string, extensions: string[], version: string): string {\n  const binDir = join(spaceflowDir, \"bin\");\n  const indexPath = join(binDir, \"index.js\");\n\n  if (!existsSync(binDir)) {\n    mkdirSync(binDir, { recursive: true });\n  }\n\n  const content = generateIndexContent(extensions, version);\n\n  // 仅在内容变化时写入\n  if (existsSync(indexPath)) {\n    const existing = readFileSync(indexPath, \"utf-8\");\n    if (existing === content) {\n      return indexPath;\n    }\n  }\n\n  writeFileSync(indexPath, content, \"utf-8\");\n  return indexPath;\n}\n\n/**\n * 执行生成的 index.js\n */\nfunction executeIndexFile(indexPath: string, projectRoot: string): void {\n  try {\n    execSync(`node \"${indexPath}\" ${process.argv.slice(2).join(\" \")}`, {\n      stdio: \"inherit\",\n      env: { ...process.env, SPACEFLOW_CWD: projectRoot },\n    });\n  } catch (error: any) {\n    // execSync 在子进程非零退出时抛出错误\n    // 子进程的 stdout/stderr 已通过 stdio: \"inherit\" 输出\n    process.exit(error.status || 1);\n  }\n}\n\n/**\n * 检测是否为 MCP 代理模式（纯 mcp，不带 --inspector）\n * 纯 mcp → 启动 meta-tool MCP server（代理模式）\n * mcp --inspector → 走正常命令调用流程\n */\nfunction isMcpCommand(): boolean {\n  const args = process.argv.slice(2);\n  // SPACEFLOW_MCP_PROXY=1 表示当前是被 meta-tool 代理 spawn 的子进程，走正常命令调用流程\n  return args.includes(\"mcp\") && !args.includes(\"--inspector\") && !process.env.SPACEFLOW_MCP_PROXY;\n}\n\n/**\n * 创建一个连接到指定项目 mcp server 的 MCP Client\n * spawn cli.js 自身，子进程走完整命令调用流程（初始化 .spaceflow → mcp server）\n * @param cwd 项目根目录\n */\nasync function connectProjectMcpClient(cwd: string): Promise<Client> {\n  const resolvedCwd = resolve(cwd);\n  const cliPath = process.argv[1];\n  const transport = new StdioClientTransport({\n    command: \"node\",\n    args: [cliPath, \"mcp\"],\n    cwd: resolvedCwd,\n    env: { ...process.env, SPACEFLOW_CWD: resolvedCwd, SPACEFLOW_MCP_PROXY: \"1\" },\n  });\n  const client = new Client({ name: \"spaceflow-meta\", version: __CLI_VERSION__ });\n  await client.connect(transport);\n  return client;\n}\n\n/**\n * 启动 Meta-tool MCP Server\n * 注册 list_tools 和 call_tool 两个元工具\n * 通过 MCP Client SDK 与子进程 mcp server 通信\n */\nasync function startMcpMetaServer(): Promise<void> {\n  const server = new McpServer({ name: \"spaceflow\", version: __CLI_VERSION__ });\n\n  // 缓存已连接的项目 MCP Client（按 cwd）\n  const clientCache = new Map<string, Client>();\n\n  async function getProjectClient(cwd: string): Promise<Client> {\n    const resolvedCwd = findProjectRoot(cwd);\n    let client = clientCache.get(resolvedCwd);\n    if (!client) {\n      client = await connectProjectMcpClient(resolvedCwd);\n      clientCache.set(resolvedCwd, client);\n    }\n    return client;\n  }\n\n  // Meta-tool 1: list_tools\n  server.registerTool(\n    \"list_tools\",\n    {\n      description: \"列出指定项目目录下可用的 Spaceflow MCP 工具列表\",\n      inputSchema: z.object({\n        cwd: z.string().describe(\"项目根目录的绝对路径\"),\n      }),\n    },\n    async ({ cwd }) => {\n      try {\n        const client = await getProjectClient(cwd);\n        const { tools } = await client.listTools();\n        return {\n          content: [\n            {\n              type: \"text\" as const,\n              text: JSON.stringify(\n                tools.map((t) => ({\n                  name: t.name,\n                  description: t.description,\n                  inputSchema: t.inputSchema,\n                })),\n                null,\n                2,\n              ),\n            },\n          ],\n        };\n      } catch (error) {\n        return {\n          content: [\n            {\n              type: \"text\" as const,\n              text: `Error: ${error instanceof Error ? error.message : String(error)}`,\n            },\n          ],\n          isError: true,\n        };\n      }\n    },\n  );\n\n  // Meta-tool 2: call_tool\n  server.registerTool(\n    \"call_tool\",\n    {\n      description: \"调用指定项目目录下的 Spaceflow MCP 工具\",\n      inputSchema: z.object({\n        cwd: z.string().describe(\"项目根目录的绝对路径\"),\n        tool_name: z.string().describe(\"要调用的工具名称\"),\n        tool_args: z.string().optional().describe(\"工具参数（JSON 字符串）\"),\n      }),\n    },\n    async ({ cwd, tool_name, tool_args }) => {\n      try {\n        const client = await getProjectClient(cwd);\n        const args = tool_args ? JSON.parse(tool_args) : {};\n        const result = await client.callTool({ name: tool_name, arguments: args });\n        // 直接返回底层 mcp server 的结果\n        return result as any;\n      } catch (error) {\n        return {\n          content: [\n            {\n              type: \"text\" as const,\n              text: `Error: ${error instanceof Error ? error.message : String(error)}`,\n            },\n          ],\n          isError: true,\n        };\n      }\n    },\n  );\n\n  // Meta-tool 3: list_resources\n  server.registerTool(\n    \"list_resources\",\n    {\n      description: \"列出指定项目目录下可用的 Spaceflow MCP 资源列表\",\n      inputSchema: z.object({\n        cwd: z.string().describe(\"项目根目录的绝对路径\"),\n      }),\n    },\n    async ({ cwd }) => {\n      try {\n        const client = await getProjectClient(cwd);\n        const { resources } = await client.listResources();\n        return {\n          content: [\n            {\n              type: \"text\" as const,\n              text: JSON.stringify(\n                resources.map((r) => ({\n                  name: r.name,\n                  uri: r.uri,\n                  description: r.description,\n                  mimeType: r.mimeType,\n                })),\n                null,\n                2,\n              ),\n            },\n          ],\n        };\n      } catch (error) {\n        return {\n          content: [\n            {\n              type: \"text\" as const,\n              text: `Error: ${error instanceof Error ? error.message : String(error)}`,\n            },\n          ],\n          isError: true,\n        };\n      }\n    },\n  );\n\n  // Meta-tool 4: read_resource\n  server.registerTool(\n    \"read_resource\",\n    {\n      description: \"读取指定项目目录下的 Spaceflow MCP 资源内容\",\n      inputSchema: z.object({\n        cwd: z.string().describe(\"项目根目录的绝对路径\"),\n        uri: z.string().describe(\"资源 URI（如 spaceflow://config）\"),\n      }),\n    },\n    async ({ cwd, uri }) => {\n      try {\n        const client = await getProjectClient(cwd);\n        const result = await client.readResource({ uri });\n        const texts = result.contents.map((c) => (\"text\" in c ? c.text : JSON.stringify(c)));\n        return {\n          content: [\n            {\n              type: \"text\" as const,\n              text: texts.join(\"\\n\"),\n            },\n          ],\n        };\n      } catch (error) {\n        return {\n          content: [\n            {\n              type: \"text\" as const,\n              text: `Error: ${error instanceof Error ? error.message : String(error)}`,\n            },\n          ],\n          isError: true,\n        };\n      }\n    },\n  );\n\n  // 启动 stdio 传输\n  const transport = new StdioServerTransport();\n  await server.connect(transport);\n\n  console.error(`[spaceflow] MCP Meta Server 已启动 (v${__CLI_VERSION__})`);\n\n  // 保持进程运行\n  await new Promise<void>((resolve) => {\n    process.stdin.on(\"close\", resolve);\n    process.on(\"SIGINT\", () => {\n      resolve();\n      process.exit(0);\n    });\n    process.on(\"SIGTERM\", () => {\n      resolve();\n      process.exit(0);\n    });\n  });\n}\n\n// ---- 主流程 ----\n\n// 检测是否为 mcp 命令：直接启动 meta-tool MCP server\nif (isMcpCommand()) {\n  startMcpMetaServer().catch((err) => {\n    console.error(err);\n    process.exit(1);\n  });\n} else {\n  // 正常 CLI 流程\n  // 0. 解析有效工作目录\n  //    effectiveCwd: 用户实际所在目录（保持 process.cwd() 不变，build 等命令依赖它）\n  //    projectRoot:  .spaceflowrc 所在目录（决定 .spaceflow 目录位置和配置读取）\n  const effectiveCwd = getEffectiveCwd();\n  const projectRoot = findProjectRoot(effectiveCwd);\n\n  // 1. 先加载 .env 文件，确保 process.env 在子进程（含 schema 模块求值）前已就绪\n  loadEnvFiles(getEnvFilePaths(projectRoot));\n\n  // 2. 确保 .spaceflow/ 目录结构完整（目录 + package.json + .gitignore）\n  const spaceflowDir = join(projectRoot, SPACEFLOW_DIR);\n  ensureSpaceflowPackageJson(spaceflowDir, projectRoot);\n\n  // 3. 确保依赖已安装\n  // MCP 代理模式下使用 pipe 避免 pnpm install 输出污染 stdout（MCP 协议通道）\n  ensureDependencies(spaceflowDir, process.env.SPACEFLOW_MCP_PROXY ? { stdio: \"pipe\" } : undefined);\n\n  // 4. 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package.json

 {
   "name": "@spaceflow/cli",
-  "version": "0.37.0",
+  "version": "0.38.0",
   "description": "Spaceflow CLI 工具",
@@ -5,0 +5,0 @@ "license": "MIT",

New alerts

Shell access

Supply chain risk

This module accesses the system shell. Accessing the system shell increases the risk of executing arbitrary code.

Found 1 instance in 1 package

Environment variable access

Supply chain risk

Package accesses environment variables, which may be a sign of credential stuffing or data theft.

Found 3 instances in 1 package

Filesystem access

Supply chain risk

Accesses the file system, and could potentially read sensitive data.

Found 1 instance in 1 package

Fixed alerts

Shell access

Supply chain risk

This module accesses the system shell. Accessing the system shell increases the risk of executing arbitrary code.

Found 1 instance in 1 package

Environment variable access

Supply chain risk

Package accesses environment variables, which may be a sign of credential stuffing or data theft.

Found 3 instances in 1 package

Filesystem access

Supply chain risk

Accesses the file system, and could potentially read sensitive data.

Found 1 instance in 1 package

Improved metrics

Total package byte prevSize

35839

20.27%

Lines of code

346

24.91%

No dependency changes