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feat: 远程群控 (#243)
* feat: restore pipe IPC, LAN pipes, monitor tool, and PR-package features Core IPC system (UDS_INBOX): - PipeServer/PipeClient with UDS + TCP dual transport, NDJSON protocol - PipeRegistry: machineId-based role assignment, file locking - Master/slave attach, prompt relay, permission forwarding - Heartbeat lifecycle with parallel isPipeAlive probes - Commands: /pipes, /attach, /detach, /send, /claim-main, /pipe-status LAN Pipes (LAN_PIPES): - UDP multicast beacon (224.0.71.67:7101) for zero-config LAN discovery - PipeServer TCP listener, PipeClient TCP connect mode - Heartbeat auto-attaches LAN peers via TCP - Cross-machine attach allowed regardless of role - /pipes shows [LAN] peers with role + hostname/IP - SendMessageTool supports tcp: scheme with user consent Architecture — extracted hooks from REPL.tsx (~830 lines → ~20 lines): - usePipeIpc: lifecycle (bootstrap, handlers, heartbeat, cleanup) - usePipeRelay: slave→master message relay via module singleton - usePipePermissionForward: permission request/cancel forwarding - usePipeRouter: selected pipe input routing with role+IP labels - Shared ndjsonFramer.ts replaces 3 duplicate NDJSON parsers Key fixes applied during development: - Multicast binds to correct LAN interface (not WSL/Docker) - Beacon ref stored as module singleton (not Zustand state mutation) - Heartbeat preserves LAN peers in discoveredPipes and selectedPipes - Disconnect handler calls removeSlaveClient (fixes listener leak) - cleanupStaleEntries probes without lock, writes briefly under lock - getMachineId uses async execFile (not blocking execSync) - globalThis.__pipeSendToMaster replaced with setPipeRelay singleton - M key only toggles route mode when selector panel is expanded - User prompt displayed in message list on pipe broadcast - Broadcast notifications show [role] + hostname/IP for LAN peers Other restored features: - Monitor tool: /monitor command, MonitorTool, MonitorMcpTask lifecycle - Daemon supervisor and remoteControlServer command - Tools: SnipTool, SleepTool, ListPeersTool, SendUserFileTool, WebBrowserTool, WorkflowTool, and 10+ stub→implementation rewrites - Feature flags: UDS_INBOX, LAN_PIPES, MONITOR_TOOL, FORK_SUBAGENT, KAIROS, COORDINATOR_MODE, WORKFLOW_SCRIPTS, HISTORY_SNIP Tests: 2190 pass / 0 fail (15 new: lanBeacon 7, peerAddress 8) * fix: resolve merge conflicts and fix all tsc/test errors after main merge - Export ToolResultBlockParam from Tool.ts (14 tool files fixed) - Migrate ink imports from ../../ink.js to @anthropic/ink (7 files) - Fix toolUseID → toolUseId typo in monitor.ts and MonitorTool.tsx - Add fallback values for string|undefined type errors (8 locations) - Fix AppState type in assistant.ts, add NewInstallWizard stubs - Fix ParsedRepository.repo → .name in subscribe-pr.ts - Fix AgentId/string type mismatch in BackgroundTasksDialog.tsx - Fix PipeRelayFn return type in pipePermissionRelay.ts - Use PipeMessage type in usePipeRelay.ts - Fix lanBeacon.test.ts mock type assertions - Create missing MouseActionEvent class for ink package - Use ansi: color format instead of bare "green"/"red" - Resolve theme.permission access via getTheme() Result: 0 tsc errors, 2496 tests pass, 0 fail Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: 恢复 /poor 的说明 --------- Co-authored-by: unraid <local@unraid.local> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
claude-code-best
@@ -1,7 +1,142 @@
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// Auto-generated stub — replace with real implementation
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export {};
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import type { Command } from 'src/types/command.js';
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export const fetchMcpSkillsForClient: ((...args: unknown[]) => Promise<Command[]>) & { cache: Map<string, unknown> } = Object.assign(
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(..._args: unknown[]) => Promise.resolve([] as Command[]),
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{ cache: new Map<string, unknown>() }
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);
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import {
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type ListResourcesResult,
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ListResourcesResultSchema,
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type ReadResourceResult,
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ReadResourceResultSchema,
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} from '@modelcontextprotocol/sdk/types.js'
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import type { Command } from '../commands.js'
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import type { MCPServerConnection } from '../services/mcp/types.js'
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import { normalizeNameForMCP } from '../services/mcp/normalization.js'
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import { memoizeWithLRU } from '../utils/memoize.js'
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import { errorMessage } from '../utils/errors.js'
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import { logMCPDebug, logMCPError } from '../utils/log.js'
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import { recursivelySanitizeUnicode } from '../utils/sanitization.js'
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import { parseFrontmatter } from '../utils/frontmatterParser.js'
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import { getMCPSkillBuilders } from './mcpSkillBuilders.js'
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const SKILL_URI_PREFIX = 'skill://'
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const MCP_FETCH_CACHE_SIZE = 20
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/**
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* Discovers skills exposed as `skill://` resources by an MCP server.
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*
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* Each matching resource is read, its markdown content is parsed for
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* frontmatter, and the result is converted into a Command that the skill
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* system can index and invoke just like a local `.md` skill file.
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*
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* Memoized by server name so repeated calls within a connection lifecycle
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* return the cached result. Callers invalidate via `.cache.delete(name)`.
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*/
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export const fetchMcpSkillsForClient = memoizeWithLRU(
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async (client: MCPServerConnection): Promise<Command[]> => {
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if (client.type !== 'connected') return []
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try {
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if (!client.capabilities?.resources) {
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return []
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}
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// List all resources and filter to skill:// URIs
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const result = (await client.client.request(
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{ method: 'resources/list' },
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ListResourcesResultSchema,
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)) as ListResourcesResult
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if (!result.resources) return []
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const skillResources = result.resources.filter(r =>
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r.uri.startsWith(SKILL_URI_PREFIX),
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)
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if (skillResources.length === 0) return []
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logMCPDebug(
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client.name,
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`Found ${skillResources.length} skill resource(s)`,
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)
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const { createSkillCommand, parseSkillFrontmatterFields } =
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getMCPSkillBuilders()
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const commands: Command[] = []
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for (const resource of skillResources) {
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try {
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// Read the skill resource content
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const readResult = (await client.client.request(
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{
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method: 'resources/read',
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params: { uri: resource.uri },
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},
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ReadResourceResultSchema,
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)) as ReadResourceResult
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// Extract text content from the resource
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const textContent = readResult.contents
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?.map(c => ('text' in c ? c.text : undefined))
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.filter(Boolean)
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.join('\n')
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if (!textContent) {
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logMCPDebug(
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client.name,
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`Skill resource ${resource.uri} returned no text content, skipping`,
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)
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continue
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}
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const sanitizedContent = recursivelySanitizeUnicode(textContent)
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// Parse the markdown frontmatter
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const { frontmatter, content: markdownContent } =
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parseFrontmatter(sanitizedContent)
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// Derive a skill name from the resource URI. Strip the skill://
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// prefix and use the remainder, prefixed with the MCP server name
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// so it is unique across servers.
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const rawName = resource.uri.slice(SKILL_URI_PREFIX.length)
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const skillName =
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'mcp__' + normalizeNameForMCP(client.name) + '__' + rawName
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const parsed = parseSkillFrontmatterFields(
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frontmatter,
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markdownContent,
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skillName,
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)
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commands.push(
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createSkillCommand({
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...parsed,
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skillName,
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markdownContent,
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source: 'mcp',
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loadedFrom: 'mcp',
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baseDir: undefined,
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paths: undefined,
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}),
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)
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} catch (error) {
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logMCPError(
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client.name,
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`Failed to load skill resource ${resource.uri}: ${errorMessage(error)}`,
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)
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}
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}
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logMCPDebug(
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client.name,
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`Loaded ${commands.length} skill(s) from resources`,
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)
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return commands
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} catch (error) {
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logMCPError(
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client.name,
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`Failed to fetch skill resources: ${errorMessage(error)}`,
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)
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return []
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}
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},
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(client: MCPServerConnection) => client.name,
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MCP_FETCH_CACHE_SIZE,
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)
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