fix: replace isDeepStrictEqual with navigation-aware options comparison

The select cursor highlight was broken because isDeepStrictEqual in
use-select-navigation.ts and use-multi-select-state.ts would fail when
options contained identity-unstable properties (JSX label elements,
function onChange callbacks, computed disabled booleans). This caused
the reset logic to fire on every re-render, resetting focusedValue
back to the first option.

Replace isDeepStrictEqual with optionsNavigateEqual which only compares
properties that affect navigation behavior: value, disabled, and type.
ReactNode labels and function callbacks are intentionally excluded as
they are identity-unstable but don't change navigation semantics.

Fixes #472

src/components/CustomSelect/use-multi-select-state.ts

@@ -1,5 +1,4 @@
 import { useCallback, useState } from 'react'
-import { isDeepStrictEqual } from 'util'
 import { useRegisterOverlay } from '../../context/overlayContext.js'
 import type { InputEvent } from '../../ink/events/input-event.js'
 // eslint-disable-next-line custom-rules/prefer-use-keybindings -- raw space/arrow multiselect input
@@ -9,6 +8,7 @@ import {
   normalizeFullWidthSpace,
 } from '../../utils/stringUtils.js'
 import type { OptionWithDescription } from './select.js'
+import { optionsNavigateEqual } from './use-select-navigation.js'
 import { useSelectNavigation } from './use-select-navigation.js'
 
 export type UseMultiSelectStateProps<T> = {
@@ -174,7 +174,7 @@ export function useMultiSelectState<T>({
   // and the deleted ui/useMultiSelectState.ts — without this, MCPServerDesktopImportDialog
   // keeps colliding servers checked after getAllMcpConfigs() resolves.
   const [lastOptions, setLastOptions] = useState(options)
-  if (options !== lastOptions && !isDeepStrictEqual(options, lastOptions)) {
+  if (options !== lastOptions && !optionsNavigateEqual(options, lastOptions)) {
     setSelectedValues(defaultValue)
     setLastOptions(options)
   }

src/components/CustomSelect/use-select-navigation.ts

@@ -6,10 +6,34 @@ import {
   useRef,
   useState,
 } from 'react'
-import { isDeepStrictEqual } from 'util'
 import OptionMap from './option-map.js'
 import type { OptionWithDescription } from './select.js'
 
+/**
+ * Compare two option arrays for structural equality on properties that
+ * affect navigation behavior. ReactNode `label` and function `onChange`
+ * are intentionally excluded — they are identity-unstable (new reference
+ * each render) but don't change navigation semantics.
+ */
+export function optionsNavigateEqual<T>(
+  a: OptionWithDescription<T>[],
+  b: OptionWithDescription<T>[],
+): boolean {
+  if (a.length !== b.length) return false
+  for (let i = 0; i < a.length; i++) {
+    const ao = a[i]!
+    const bo = b[i]!
+    if (
+      ao.value !== bo.value ||
+      ao.disabled !== bo.disabled ||
+      ao.type !== bo.type
+    ) {
+      return false
+    }
+  }
+  return true
+}
+
 type State<T> = {
   /**
    * Map where key is option's value and value is option's index.
@@ -524,7 +548,7 @@ export function useSelectNavigation<T>({
 
   const [lastOptions, setLastOptions] = useState(options)
 
-  if (options !== lastOptions && !isDeepStrictEqual(options, lastOptions)) {
+  if (options !== lastOptions && !optionsNavigateEqual(options, lastOptions)) {
     dispatch({
       type: 'reset',
       state: createDefaultState({

src/components/agents/generateAgent.ts

@@ -68,11 +68,11 @@ When a user describes what they want an agent to do, you will:
       assistant: "Now let me use the test-runner agent to run the tests"
     </example>
     - <example>
-      Context: User is creating an agent to respond to the word "hello" with a friendly jok.
-      user: "Hello"
-      assistant: "I'm going to use the ${AGENT_TOOL_NAME} tool to launch the greeting-responder agent to respond with a friendly joke"
+      Context: User is creating an agent for Claude Code product questions.
+      user: "How do I configure Claude Code hooks?"
+      assistant: "I'm going to use the ${AGENT_TOOL_NAME} tool to launch the claude-code-guide agent to answer the question"
       <commentary>
-      Since the user is greeting, use the greeting-responder agent to respond with a friendly joke. 
+      Since the user is asking how to use Claude Code, use the claude-code-guide agent.
       </commentary>
     </example>
   - If the user mentioned or implied that the agent should be used proactively, you should include examples of this.

src/services/api/openaiShim.ts

@@ -195,10 +195,12 @@ function convertContentBlocks(
         // handled separately
         break
       case 'thinking':
-        // Append thinking as text with a marker for models that support reasoning
-        if (block.thinking) {
-          parts.push({ type: 'text', text: `<thinking>${block.thinking}</thinking>` })
-        }
+      case 'redacted_thinking':
+        // Strip thinking blocks for OpenAI-compatible providers.
+        // These are Anthropic-specific content types that 3P providers
+        // don't understand. Serializing them as <thinking> text corrupts
+        // multi-turn context: the model sees the tags as part of its
+        // previous reply and may mimic or misattribute them.
         break
       default:
         if (block.text) {

src/services/tools/toolExecution.test.ts

@@ -0,0 +1,33 @@
+import { describe, expect, test } from 'bun:test'
+
+import { SkillTool } from '../../tools/SkillTool/SkillTool.js'
+import {
+  getSchemaValidationErrorOverride,
+  getSchemaValidationToolUseResult,
+} from './toolExecution.js'
+
+describe('getSchemaValidationErrorOverride', () => {
+  test('returns actionable missing-skill error for SkillTool', () => {
+    expect(getSchemaValidationErrorOverride(SkillTool, {})).toBe(
+      'Missing skill name. Pass the slash command name as the skill parameter (e.g., skill: "commit" for /commit, skill: "review-pr" for /review-pr).',
+    )
+  })
+
+  test('does not override unrelated tool schema failures', () => {
+    expect(getSchemaValidationErrorOverride({ name: 'Read' } as never, {})).toBe(
+      null,
+    )
+  })
+
+  test('does not override SkillTool when skill is present', () => {
+    expect(
+      getSchemaValidationErrorOverride(SkillTool, { skill: 'commit' }),
+    ).toBe(null)
+  })
+
+  test('uses the actionable override for structured toolUseResult too', () => {
+    expect(getSchemaValidationToolUseResult(SkillTool, {} as never)).toBe(
+      'InputValidationError: Missing skill name. Pass the slash command name as the skill parameter (e.g., skill: "commit" for /commit, skill: "review-pr" for /review-pr).',
+    )
+  })
+})

src/services/tools/toolExecution.ts

@@ -43,6 +43,7 @@ import { FILE_READ_TOOL_NAME } from '../../tools/FileReadTool/prompt.js'
 import { FILE_WRITE_TOOL_NAME } from '../../tools/FileWriteTool/prompt.js'
 import { NOTEBOOK_EDIT_TOOL_NAME } from '../../tools/NotebookEditTool/constants.js'
 import { POWERSHELL_TOOL_NAME } from '../../tools/PowerShellTool/toolName.js'
+import { SKILL_TOOL_NAME } from '../../tools/SkillTool/constants.js'
 import { parseGitCommitId } from '../../tools/shared/gitOperationTracking.js'
 import {
   isDeferredTool,
@@ -596,6 +597,31 @@ export function buildSchemaNotSentHint(
   )
 }
 
+export function getSchemaValidationErrorOverride(
+  tool: Tool,
+  input: unknown,
+): string | null {
+  if (tool.name !== SKILL_TOOL_NAME || !input || typeof input !== 'object') {
+    return null
+  }
+
+  const skill = (input as { skill?: unknown }).skill
+  if (skill === undefined || skill === null) {
+    return 'Missing skill name. Pass the slash command name as the skill parameter (e.g., skill: "commit" for /commit, skill: "review-pr" for /review-pr).'
+  }
+
+  return null
+}
+
+export function getSchemaValidationToolUseResult(
+  tool: Tool,
+  input: unknown,
+  fallbackMessage?: string,
+): string {
+  const override = getSchemaValidationErrorOverride(tool, input)
+  return `InputValidationError: ${override ?? fallbackMessage ?? ''}`
+}
+
 async function checkPermissionsAndCallTool(
   tool: Tool,
   toolUseID: string,
@@ -614,7 +640,9 @@ async function checkPermissionsAndCallTool(
   // Validate input types with zod (surprisingly, the model is not great at generating valid input)
   const parsedInput = tool.inputSchema.safeParse(input)
   if (!parsedInput.success) {
-    let errorContent = formatZodValidationError(tool.name, parsedInput.error)
+    const fallbackErrorContent = formatZodValidationError(tool.name, parsedInput.error)
+    let errorContent =
+      getSchemaValidationErrorOverride(tool, input) ?? fallbackErrorContent
 
     const schemaHint = buildSchemaNotSentHint(
       tool,
@@ -672,7 +700,11 @@ async function checkPermissionsAndCallTool(
               tool_use_id: toolUseID,
             },
           ],
-          toolUseResult: `InputValidationError: ${parsedInput.error.message}`,
+          toolUseResult: getSchemaValidationToolUseResult(
+            tool,
+            input,
+            parsedInput.error.message,
+          ),
           sourceToolAssistantUUID: assistantMessage.uuid,
         }),
       },

src/tools/AgentTool/prompt.ts

@@ -156,34 +156,24 @@ ${AGENT_TOOL_NAME}({
   const currentExamples = `Example usage:
 
 <example_agent_descriptions>
-"test-runner": use this agent after you are done writing code to run tests
-"greeting-responder": use this agent to respond to user greetings with a friendly joke
+"claude-code-guide": use this agent when the user asks how Claude Code works or how to use its features
+"statusline-setup": use this agent to configure the user's Claude Code status line setting
 </example_agent_descriptions>
 
 <example>
-user: "Please write a function that checks if a number is prime"
-assistant: I'm going to use the ${FILE_WRITE_TOOL_NAME} tool to write the following code:
-<code>
-function isPrime(n) {
-  if (n <= 1) return false
-  for (let i = 2; i * i <= n; i++) {
-    if (n % i === 0) return false
-  }
-  return true
-}
-</code>
+user: "How do I configure Claude Code hooks?"
 <commentary>
-Since a significant piece of code was written and the task was completed, now use the test-runner agent to run the tests
+This is a Claude Code usage question, so use the claude-code-guide agent
 </commentary>
-assistant: Uses the ${AGENT_TOOL_NAME} tool to launch the test-runner agent
+assistant: Uses the ${AGENT_TOOL_NAME} tool to launch the claude-code-guide agent
 </example>
 
 <example>
-user: "Hello"
+user: "Set up my Claude Code status line"
 <commentary>
-Since the user is greeting, use the greeting-responder agent to respond with a friendly joke
+This matches the statusline-setup agent, so use it to configure the setting
 </commentary>
-assistant: "I'm going to use the ${AGENT_TOOL_NAME} tool to launch the greeting-responder agent"
+assistant: "I'm going to use the ${AGENT_TOOL_NAME} tool to launch the statusline-setup agent"
 </example>
 `
 

src/tools/SkillTool/SkillTool.test.ts

@@ -0,0 +1,31 @@
+import { describe, expect, test } from 'bun:test'
+
+import { SkillTool } from './SkillTool.js'
+
+describe('SkillTool missing parameter handling', () => {
+  test('missing skill stays required at the schema level', async () => {
+    const parsed = SkillTool.inputSchema.safeParse({})
+
+    expect(parsed.success).toBe(false)
+  })
+
+  test('validateInput still returns an actionable error when called with missing skill', async () => {
+    const result = await SkillTool.validateInput?.({} as never, {
+      options: { tools: [] },
+      messages: [],
+    } as never)
+
+    expect(result).toEqual({
+      result: false,
+      message:
+        'Missing skill name. Pass the slash command name as the skill parameter (e.g., skill: "commit" for /commit, skill: "review-pr" for /review-pr).',
+      errorCode: 1,
+    })
+  })
+
+  test('valid skill input still parses and validates', async () => {
+    const parsed = SkillTool.inputSchema.safeParse({ skill: 'commit' })
+
+    expect(parsed.success).toBe(true)
+  })
+})

src/tools/SkillTool/SkillTool.ts

@@ -352,6 +352,16 @@ export const SkillTool: Tool<InputSchema, Output, Progress> = buildTool({
   toAutoClassifierInput: ({ skill }) => skill ?? '',
 
   async validateInput({ skill }, context): Promise<ValidationResult> {
+    if (!skill || typeof skill !== 'string') {
+      return {
+        result: false,
+        message:
+          'Missing skill name. Pass the slash command name as the skill parameter ' +
+          '(e.g., skill: "commit" for /commit, skill: "review-pr" for /review-pr).',
+        errorCode: 1,
+      }
+    }
+
     // Skills are just skill names, no arguments
     const trimmed = skill.trim()
     if (!trimmed) {
@@ -434,7 +444,7 @@ export const SkillTool: Tool<InputSchema, Output, Progress> = buildTool({
     context,
   ): Promise<PermissionDecision> {
     // Skills are just skill names, no arguments
-    const trimmed = skill.trim()
+    const trimmed = skill ?? ''
 
     // Remove leading slash if present (for compatibility)
     const commandName = trimmed.startsWith('/') ? trimmed.substring(1) : trimmed
@@ -592,7 +602,7 @@ export const SkillTool: Tool<InputSchema, Output, Progress> = buildTool({
     // - Skill is a prompt-based skill
 
     // Skills are just names, with optional arguments
-    const trimmed = skill.trim()
+    const trimmed = skill ?? ''
 
     // Remove leading slash if present (for compatibility)
     const commandName = trimmed.startsWith('/') ? trimmed.substring(1) : trimmed

src/utils/api.test.ts

@@ -1,6 +1,7 @@
 import { expect, test } from 'bun:test'
 import { z } from 'zod/v4'
 import { getEmptyToolPermissionContext, type Tool, type Tools } from '../Tool.js'
+import { SkillTool } from '../tools/SkillTool/SkillTool.js'
 import { toolToAPISchema } from './api.js'
 
 test('toolToAPISchema preserves provider-specific schema keywords in input_schema', async () => {
@@ -64,3 +65,16 @@ test('toolToAPISchema preserves provider-specific schema keywords in input_schem
     },
   })
 })
+
+test('toolToAPISchema keeps skill required for SkillTool', async () => {
+  const schema = await toolToAPISchema(SkillTool, {
+    getToolPermissionContext: async () => getEmptyToolPermissionContext(),
+    tools: [] as unknown as Tools,
+    agents: [],
+  })
+
+  expect((schema as { input_schema: unknown }).input_schema).toMatchObject({
+    type: 'object',
+    required: ['skill'],
+  })
+})

src/utils/context.test.ts

@@ -94,3 +94,22 @@ test('gpt-5.4 family keeps large max output overrides within provider limits', (
   expect(getMaxOutputTokensForModel('gpt-5.4-mini')).toBe(128_000)
   expect(getMaxOutputTokensForModel('gpt-5.4-nano')).toBe(128_000)
 })
+
+test('MiniMax-M2.7 uses explicit provider-specific context and output caps', () => {
+  process.env.CLAUDE_CODE_USE_OPENAI = '1'
+  delete process.env.CLAUDE_CODE_MAX_OUTPUT_TOKENS
+
+  expect(getContextWindowForModel('MiniMax-M2.7')).toBe(204_800)
+  expect(getModelMaxOutputTokens('MiniMax-M2.7')).toEqual({
+    default: 131_072,
+    upperLimit: 131_072,
+  })
+  expect(getMaxOutputTokensForModel('MiniMax-M2.7')).toBe(131_072)
+})
+
+test('unknown openai-compatible models still use the conservative fallback window', () => {
+  process.env.CLAUDE_CODE_USE_OPENAI = '1'
+  delete process.env.CLAUDE_CODE_MAX_OUTPUT_TOKENS
+
+  expect(getContextWindowForModel('some-unknown-3p-model')).toBe(8_000)
+})

src/utils/context.ts

@@ -72,16 +72,23 @@ export function getContextWindowForModel(
     return 1_000_000
   }
 
-  // OpenAI-compatible provider — use known context windows for the model
-  if (
+  // OpenAI-compatible provider — use known context windows for the model.
+  // Unknown models get a conservative 8k default so auto-compact triggers
+  // before hitting a hard context_window_exceeded error.
+  const isOpenAIProvider =
     isEnvTruthy(process.env.CLAUDE_CODE_USE_OPENAI) ||
     isEnvTruthy(process.env.CLAUDE_CODE_USE_GEMINI) ||
     isEnvTruthy(process.env.CLAUDE_CODE_USE_GITHUB)
-  ) {
+  if (isOpenAIProvider) {
     const openaiWindow = getOpenAIContextWindow(model)
     if (openaiWindow !== undefined) {
       return openaiWindow
     }
+    console.error(
+      `[context] Warning: model "${model}" not in context window table — using conservative 8k default. ` +
+      'Add it to src/utils/model/openaiContextWindows.ts for accurate compaction.',
+    )
+    return 8_000
   }
 
   const cap = getModelCapability(model)

src/utils/conversationRecovery.hooks.test.ts

@@ -69,3 +69,93 @@ test('loadConversationForResume rejects oversized transcripts before resume hook
   )
   expect(hookSpy).not.toHaveBeenCalled()
 })
+
+test('deserializeMessagesWithInterruptDetection strips thinking blocks only for OpenAI-compatible providers', async () => {
+  const serializedMessages = [
+    user(id(10), 'hello'),
+    {
+      type: 'assistant',
+      uuid: id(11),
+      parentUuid: id(10),
+      timestamp: ts,
+      cwd: '/tmp',
+      sessionId,
+      version: 'test',
+      message: {
+        role: 'assistant',
+        content: [
+          { type: 'thinking', thinking: 'secret reasoning' },
+          { type: 'text', text: 'visible reply' },
+        ],
+      },
+    },
+    {
+      type: 'assistant',
+      uuid: id(12),
+      parentUuid: id(11),
+      timestamp: ts,
+      cwd: '/tmp',
+      sessionId,
+      version: 'test',
+      message: {
+        role: 'assistant',
+        content: [{ type: 'thinking', thinking: 'only hidden reasoning' }],
+      },
+    },
+    user(id(13), 'follow up'),
+  ]
+
+  mock.module('./model/providers.js', () => ({
+    getAPIProvider: () => 'openai',
+    isOpenAICompatibleProvider: (provider: string) =>
+      provider === 'openai' ||
+      provider === 'gemini' ||
+      provider === 'github' ||
+      provider === 'codex',
+  }))
+
+  const openaiModule = await import(`./conversationRecovery.ts?provider=openai-${Date.now()}`)
+  const thirdParty = openaiModule.deserializeMessagesWithInterruptDetection(serializedMessages as never[])
+  const thirdPartyAssistantMessages = thirdParty.messages.filter(
+    message => message.type === 'assistant',
+  )
+
+  expect(thirdPartyAssistantMessages).toHaveLength(2)
+  expect(thirdPartyAssistantMessages[0]?.message?.content).toEqual([
+    { type: 'text', text: 'visible reply' },
+  ])
+  expect(
+    JSON.stringify(thirdPartyAssistantMessages.map(message => message.message?.content)),
+  ).not.toContain('secret reasoning')
+  expect(
+    JSON.stringify(thirdPartyAssistantMessages.map(message => message.message?.content)),
+  ).not.toContain('only hidden reasoning')
+
+  mock.restore()
+  mock.module('./model/providers.js', () => ({
+    getAPIProvider: () => 'bedrock',
+    isOpenAICompatibleProvider: (provider: string) =>
+      provider === 'openai' ||
+      provider === 'gemini' ||
+      provider === 'github' ||
+      provider === 'codex',
+  }))
+
+  const bedrockModule = await import(`./conversationRecovery.ts?provider=bedrock-${Date.now()}`)
+  const anthropicCompatible = bedrockModule.deserializeMessagesWithInterruptDetection(serializedMessages as never[])
+  const anthropicAssistantMessages = anthropicCompatible.messages.filter(
+    message => message.type === 'assistant',
+  )
+
+  expect(anthropicAssistantMessages).toHaveLength(2)
+  expect(anthropicAssistantMessages[0]?.message?.content).toEqual([
+    { type: 'thinking', thinking: 'secret reasoning' },
+    { type: 'text', text: 'visible reply' },
+  ])
+  expect(
+    JSON.stringify(anthropicAssistantMessages.map(message => message.message?.content)),
+  ).toContain('secret reasoning')
+  expect(
+    JSON.stringify(anthropicAssistantMessages.map(message => message.message?.content)),
+  ).not.toContain('only hidden reasoning')
+})

src/utils/conversationRecovery.test.ts

@@ -13,6 +13,7 @@ const originalSimple = process.env.CLAUDE_CODE_SIMPLE
 const sessionId = '00000000-0000-4000-8000-000000001999'
 const ts = '2026-04-02T00:00:00.000Z'
 
+
 function id(n: number): string {
   return `00000000-0000-4000-8000-${String(n).padStart(12, '0')}`
 }
@@ -76,4 +77,3 @@ test('loadConversationForResume rejects oversized reconstructed transcripts', as
     'Reconstructed transcript is too large to resume safely',
   )
 })
-

src/utils/conversationRecovery.ts

@@ -24,6 +24,7 @@ import {
   type FileHistorySnapshot,
 } from './fileHistory.js'
 import { logError } from './log.js'
+import { getAPIProvider } from './model/providers.js'
 import {
   createAssistantMessage,
   createUserMessage,
@@ -177,6 +178,25 @@ export type DeserializeResult = {
   turnInterruptionState: TurnInterruptionState
 }
 
+/**
+ * Remove thinking/redacted_thinking content blocks from assistant messages.
+ * Messages that become empty after stripping are removed entirely.
+ */
+function stripThinkingBlocks(messages: NormalizedMessage[]): NormalizedMessage[] {
+  return messages.reduce<NormalizedMessage[]>((acc, msg) => {
+    if (msg.type !== 'assistant' || !Array.isArray(msg.message?.content)) {
+      acc.push(msg)
+      return acc
+    }
+    const filtered = msg.message.content.filter(
+      (block: { type?: string }) => block.type !== 'thinking' && block.type !== 'redacted_thinking',
+    )
+    if (filtered.length === 0) return acc
+    acc.push({ ...msg, message: { ...msg.message, content: filtered } })
+    return acc
+  }, [])
+}
+
 /**
  * Deserializes messages from a log file into the format expected by the REPL.
  * Filters unresolved tool uses, orphaned thinking messages, and appends a
@@ -227,10 +247,19 @@ export function deserializeMessagesWithInterruptDetection(
       filteredToolUses,
     ) as NormalizedMessage[]
 
+    // Strip thinking/redacted_thinking content blocks from assistant messages
+    // when resuming against a 3P provider. These Anthropic-specific blocks cause
+    // 400 errors or context corruption on OpenAI-compatible providers (issue #248 finding 5).
+    const provider = getAPIProvider()
+    const isThirdPartyProvider = provider !== 'firstParty' && provider !== 'bedrock' && provider !== 'vertex' && provider !== 'foundry'
+    const thinkingStripped = isThirdPartyProvider
+      ? stripThinkingBlocks(filteredThinking)
+      : filteredThinking
+
     // Filter out assistant messages with only whitespace text content.
     // This can happen when model outputs "\n\n" before thinking, user cancels mid-stream.
     const filteredMessages = filterWhitespaceOnlyAssistantMessages(
-      filteredThinking,
+      thinkingStripped,
     ) as NormalizedMessage[]
 
     const internalState = detectTurnInterruption(filteredMessages)

src/utils/model/openaiContextWindows.ts

@@ -44,6 +44,10 @@ const OPENAI_CONTEXT_WINDOWS: Record<string, number> = {
   'mistral-large-latest':     131_072,
   'mistral-small-latest':     131_072,
 
+  // MiniMax
+  'MiniMax-M2.7':             204_800,
+  'minimax-m2.7':             204_800,
+
   // Google (via OpenRouter)
   'google/gemini-2.0-flash':1_048_576,
   'google/gemini-2.5-pro':  1_048_576,
@@ -110,6 +114,10 @@ const OPENAI_MAX_OUTPUT_TOKENS: Record<string, number> = {
   'mistral-large-latest':     32_768,
   'mistral-small-latest':     32_768,
 
+  // MiniMax
+  'MiniMax-M2.7':            131_072,
+  'minimax-m2.7':            131_072,
+
   // Google (via OpenRouter)
   'google/gemini-2.0-flash':   8_192,
   'google/gemini-2.5-pro':    65_536,