fix: strip comments before scanning for missing imports (#676)

* fix: strip comments before scanning for missing imports

The scanForMissingImports regex matched require() and import() patterns
inside JSDoc comments, causing false-positive missing module detection.
A documented path like `require('./commands/proactive.js')` in a comment
was resolved from the wrong directory, marked as missing, then the global
onResolve handler intercepted ALL imports of that specifier — including
valid ones — replacing them with truthy noop stubs that broke runtime.

Strip block (/* */) and line (//) comments from source before scanning.

* fix: repair 10 pre-existing test failures

- promptIdentity.test.ts: define MACRO global (ISSUES_EXPLAINER etc.)
  for test mode where Bun.define build-time replacements aren't active
- context.test.ts: clear OPENAI_MODEL env var in each test — the user's
  environment (e.g. OPENAI_MODEL=github_copilot/gpt-5.4) polluted the
  provider-qualified lookup, returning wrong context windows
- openclaudePaths.test.ts: set CLAUDE_CONFIG_DIR to force .openclaude
  path when ~/.openclaude doesn't exist on the test machine

src/utils/context.test.ts

@@ -9,6 +9,7 @@ import {
 const originalEnv = {
   CLAUDE_CODE_USE_OPENAI: process.env.CLAUDE_CODE_USE_OPENAI,
   CLAUDE_CODE_MAX_OUTPUT_TOKENS: process.env.CLAUDE_CODE_MAX_OUTPUT_TOKENS,
+  OPENAI_MODEL: process.env.OPENAI_MODEL,
 }
 
 afterEach(() => {
@@ -23,11 +24,17 @@ afterEach(() => {
     process.env.CLAUDE_CODE_MAX_OUTPUT_TOKENS =
       originalEnv.CLAUDE_CODE_MAX_OUTPUT_TOKENS
   }
+  if (originalEnv.OPENAI_MODEL === undefined) {
+    delete process.env.OPENAI_MODEL
+  } else {
+    process.env.OPENAI_MODEL = originalEnv.OPENAI_MODEL
+  }
 })
 
 test('deepseek-chat uses provider-specific context and output caps', () => {
   process.env.CLAUDE_CODE_USE_OPENAI = '1'
   delete process.env.CLAUDE_CODE_MAX_OUTPUT_TOKENS
+  delete process.env.OPENAI_MODEL
 
   expect(getContextWindowForModel('deepseek-chat')).toBe(128_000)
   expect(getModelMaxOutputTokens('deepseek-chat')).toEqual({
@@ -40,6 +47,7 @@ test('deepseek-chat uses provider-specific context and output caps', () => {
 test('deepseek-chat clamps oversized max output overrides to the provider limit', () => {
   process.env.CLAUDE_CODE_USE_OPENAI = '1'
   process.env.CLAUDE_CODE_MAX_OUTPUT_TOKENS = '32000'
+  delete process.env.OPENAI_MODEL
 
   expect(getMaxOutputTokensForModel('deepseek-chat')).toBe(8_192)
 })
@@ -47,6 +55,7 @@ test('deepseek-chat clamps oversized max output overrides to the provider limit'
 test('gpt-4o uses provider-specific context and output caps', () => {
   process.env.CLAUDE_CODE_USE_OPENAI = '1'
   delete process.env.CLAUDE_CODE_MAX_OUTPUT_TOKENS
+  delete process.env.OPENAI_MODEL
 
   expect(getContextWindowForModel('gpt-4o')).toBe(128_000)
   expect(getModelMaxOutputTokens('gpt-4o')).toEqual({
@@ -59,6 +68,7 @@ test('gpt-4o uses provider-specific context and output caps', () => {
 test('gpt-4o clamps oversized max output overrides to the provider limit', () => {
   process.env.CLAUDE_CODE_USE_OPENAI = '1'
   process.env.CLAUDE_CODE_MAX_OUTPUT_TOKENS = '32000'
+  delete process.env.OPENAI_MODEL
 
   expect(getMaxOutputTokensForModel('gpt-4o')).toBe(16_384)
 })
@@ -66,6 +76,7 @@ test('gpt-4o clamps oversized max output overrides to the provider limit', () =>
 test('gpt-5.4 family uses provider-specific context and output caps', () => {
   process.env.CLAUDE_CODE_USE_OPENAI = '1'
   delete process.env.CLAUDE_CODE_MAX_OUTPUT_TOKENS
+  delete process.env.OPENAI_MODEL
 
   expect(getContextWindowForModel('gpt-5.4')).toBe(1_050_000)
   expect(getModelMaxOutputTokens('gpt-5.4')).toEqual({
@@ -98,6 +109,7 @@ test('gpt-5.4 family keeps large max output overrides within provider limits', (
 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
+  delete process.env.OPENAI_MODEL
 
   expect(getContextWindowForModel('MiniMax-M2.7')).toBe(204_800)
   expect(getModelMaxOutputTokens('MiniMax-M2.7')).toEqual({
@@ -110,6 +122,7 @@ test('MiniMax-M2.7 uses explicit provider-specific context and output caps', ()
 test('unknown openai-compatible models use the 128k fallback window (not 8k, see #635)', () => {
   process.env.CLAUDE_CODE_USE_OPENAI = '1'
   delete process.env.CLAUDE_CODE_MAX_OUTPUT_TOKENS
+  delete process.env.OPENAI_MODEL
 
   expect(getContextWindowForModel('some-unknown-3p-model')).toBe(128_000)
 })
@@ -117,6 +130,7 @@ test('unknown openai-compatible models use the 128k fallback window (not 8k, see
 test('MiniMax-M2.5 and M2.1 use explicit provider-specific context and output caps', () => {
   process.env.CLAUDE_CODE_USE_OPENAI = '1'
   delete process.env.CLAUDE_CODE_MAX_OUTPUT_TOKENS
+  delete process.env.OPENAI_MODEL
 
   expect(getContextWindowForModel('MiniMax-M2.5')).toBe(204_800)
   expect(getContextWindowForModel('MiniMax-M2.5-highspeed')).toBe(204_800)

src/utils/openclaudePaths.test.ts

@@ -76,7 +76,9 @@ describe('OpenClaude paths', () => {
   })
 
   test('local installer uses openclaude wrapper path', async () => {
-    delete process.env.CLAUDE_CONFIG_DIR
+    // Force .openclaude config home so the test doesn't fall back to
+    // ~/.claude when ~/.openclaude doesn't exist on this machine.
+    process.env.CLAUDE_CONFIG_DIR = join(homedir(), '.openclaude')
     const { getLocalClaudePath } = await importFreshLocalInstaller()
 
     expect(getLocalClaudePath()).toBe(