feat: Grand Unification — one command, one interface, direct converters (#346)
* fix: resolve 8 pipeline bugs found during skill quality review - Fix 0 APIs extracted from documentation by enriching summary.json with individual page file content before conflict detection - Fix all "Unknown" entries in merged_api.md by injecting dict keys as API names and falling back to AI merger field names - Fix frontmatter using raw slugs instead of config name by normalizing frontmatter after SKILL.md generation - Fix leaked absolute filesystem paths in patterns/index.md by stripping .skillseeker-cache repo clone prefixes - Fix ARCHITECTURE.md file count always showing "1 files" by counting files per language from code_analysis data - Fix YAML parse errors on GitHub Actions workflows by converting boolean keys (on: true) to strings - Fix false React/Vue.js framework detection in C# projects by filtering web frameworks based on primary language - Improve how-to guide generation by broadening workflow example filter to include setup/config examples with sufficient complexity - Fix test_git_sources_e2e failures caused by git init default branch being 'main' instead of 'master' Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: address 6 review issues in ExecutionContext implementation Fixes from code review: 1. Mode resolution (#3 critical): _args_to_data no longer unconditionally overwrites mode. Only writes mode="api" when --api-key explicitly passed. Env-var-based mode detection moved to _default_data() as lowest priority. 2. Re-initialization warning (#4): initialize() now logs debug message when called a second time instead of silently returning stale instance. 3. _raw_args preserved in override (#5): temp context now copies _raw_args from parent so get_raw() works correctly inside override blocks. 4. test_local_mode_detection env cleanup (#7): test now saves/restores API key env vars to prevent failures when ANTHROPIC_API_KEY is set. 5. _load_config_file error handling (#8): wraps FileNotFoundError and JSONDecodeError with user-friendly ValueError messages. 6. Lint fixes: added logging import, fixed Generator import from collections.abc, fixed AgentClient return type annotation. Remaining P2/P3 items (documented, not blocking): - Lock TOCTOU in override() — safe on CPython, needs fix for no-GIL - get() reads _instance without lock — same CPython caveat - config_path not stored on instance - AnalysisSettings.depth not Literal constrained Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: address all remaining P2/P3 review issues in ExecutionContext 1. Thread safety: get() now acquires _lock before reading _instance (#2) 2. Thread safety: override() saves/restores _initialized flag to prevent re-init during override blocks (#10) 3. Config path stored: _config_path PrivateAttr + config_path property (#6) 4. Literal validation: AnalysisSettings.depth now uses Literal["surface", "deep", "full"] — rejects invalid values (#9) 5. Test updated: test_analysis_depth_choices now expects ValidationError for invalid depth, added test_analysis_depth_valid_choices 6. Lint cleanup: removed unused imports, fixed whitespace in tests All 10 previously reported issues now resolved. 26 tests pass, lint clean. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: restore 5 truncated scrapers, migrate unified_scraper, fix context init 5 scrapers had main() truncated with "# Original main continues here..." after Kimi's migration — business logic was never connected: - html_scraper.py — restored HtmlToSkillConverter extraction + build - pptx_scraper.py — restored PptxToSkillConverter extraction + build - confluence_scraper.py — restored ConfluenceToSkillConverter with 3 modes - notion_scraper.py — restored NotionToSkillConverter with 4 sources - chat_scraper.py — restored ChatToSkillConverter extraction + build unified_scraper.py — migrated main() to context-first pattern with argv fallback Fixed context initialization chain: - main.py no longer initializes ExecutionContext (was stealing init from commands) - create_command.py now passes config_path from source_info.parsed - execution_context.py handles SourceInfo.raw_input (not raw_source) All 18 scrapers now genuinely migrated. 26 tests pass, lint clean. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: resolve 7 data flow conflicts between ExecutionContext and legacy paths Critical fixes (CLI args silently lost): - unified_scraper Phase 6: reads ctx.enhancement.level instead of raw JSON when args=None (#3, #4) - unified_scraper Phase 6 agent: reads ctx.enhancement.agent instead of 3 independent env var lookups (#5) - doc_scraper._run_enhancement: uses agent_client.api_key instead of raw os.environ.get() — respects config file api_key (#1) Important fixes: - main._handle_analyze_command: populates _fake_args from ExecutionContext so --agent and --api-key aren't lost in analyze→enhance path (#6) - doc_scraper type annotations: replaced forward refs with Any to avoid F821 undefined name errors All changes include RuntimeError fallback for backward compatibility when ExecutionContext isn't initialized. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: 3 crashes + 1 stub in migrated scrapers found by deep scan 1. github_scraper.py: args.scrape_only and args.enhance_level crash when args=None (context path). Guarded with if args and getattr(). Also fixed agent fallback to read ctx.enhancement.agent. 2. codebase_scraper.py: args.output and args.skip_api_reference crash in summary block when args=None. Replaced with output_dir local var and ctx.analysis.skip_api_reference. 3. epub_scraper.py: main() was still a stub ending with "# Rest of main() continues..." — restored full extraction + build + enhancement logic using ctx values exclusively. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: complete ExecutionContext migration for remaining scrapers Kimi's Phase 4 scraper migrations + Claude's review fixes. All 18 scrapers now use context-first pattern with argv fallback. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: Phase 1 — ExecutionContext.get() always returns context (no RuntimeError) get() now returns a default context instead of raising RuntimeError when not explicitly initialized. This eliminates the need for try/except RuntimeError blocks in all 18 scrapers. Components can always call ExecutionContext.get() safely — it returns defaults if not initialized, or the explicitly initialized instance. Updated tests: test_get_returns_defaults_when_not_initialized, test_reset_clears_instance (no longer expects RuntimeError). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: Phase 2a-c — remove 16 individual scraper CLI commands Removed individual scraper commands from: - COMMAND_MODULES in main.py (16 entries: scrape, github, pdf, word, epub, video, jupyter, html, openapi, asciidoc, pptx, rss, manpage, confluence, notion, chat) - pyproject.toml entry points (16 skill-seekers-<type> binaries) - parsers/__init__.py (16 parser registrations) All source types now accessed via: skill-seekers create <source> Kept: create, unified, analyze, enhance, package, upload, install, install-agent, config, doctor, and utility commands. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: create SkillConverter base class + converter registry New base interface that all 17 converters will inherit: - SkillConverter.run() — extract + build (same call for all types) - SkillConverter.extract() — override in subclass - SkillConverter.build_skill() — override in subclass - get_converter(source_type, config) — factory from registry - CONVERTER_REGISTRY — maps source type → (module, class) create_command will use get_converter() instead of _call_module(). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: Grand Unification — one command, one interface, direct converters Complete the Grand Unification refactor: `skill-seekers create` is now the single entry point for all 18 source types. Individual scraper CLI commands (scrape, github, pdf, analyze, unified, etc.) are removed. ## Architecture changes - **18 SkillConverter subclasses**: Every scraper now inherits SkillConverter with extract() + build_skill() + SOURCE_TYPE. Factory via get_converter(). - **create_command.py rewritten**: _build_config() constructs config dicts from ExecutionContext for each source type. Direct converter.run() calls replace the old _build_argv() + sys.argv swap + _call_module() machinery. - **main.py simplified**: create command bypasses _reconstruct_argv entirely, calls CreateCommand(args).execute() directly. analyze/unified commands removed (create handles both via auto-detection). - **CreateParser mode="all"**: Top-level parser now accepts all 120+ flags (--browser, --max-pages, --depth, etc.) since create is the only entry. - **Centralized enhancement**: Runs once in create_command after converter, not duplicated in each scraper. - **MCP tools use converters**: 5 scraping tools call get_converter() directly instead of subprocess. Config type auto-detected from keys. - **ConfigValidator → UniSkillConfigValidator**: Renamed with backward- compat alias. - **Data flow**: AgentClient + LocalSkillEnhancer read ExecutionContext first, env vars as fallback. ## What was removed - main() from all 18 scraper files (~3400 lines) - 18 CLI commands from COMMAND_MODULES + pyproject.toml entry points - analyze + unified parsers from parser registry - _build_argv, _call_module, _SKIP_ARGS, _DEST_TO_FLAG, all _route_*() - setup_argument_parser, get_configuration, _check_deprecated_flags - Tests referencing removed commands/functions ## Net impact 51 files changed, ~6000 lines removed. 2996 tests pass, 0 failures. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: review fixes for Grand Unification PR - Add autouse conftest fixture to reset ExecutionContext singleton between tests - Replace hardcoded defaults in _is_explicitly_set() with parser-derived defaults - Upgrade ExecutionContext double-init log from debug to info - Use logger.exception() in SkillConverter.run() to preserve tracebacks - Fix docstring "17 types" → "18 types" in skill_converter.py - DRY up 10 copy-paste help handlers into dict + loop (~100 lines removed) - Fix 2 CI workflows still referencing removed `skill-seekers scrape` command - Remove broken pyproject.toml entry point for codebase_scraper:main Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: resolve 12 logic/flow issues found in deep review Critical fixes: - UnifiedScraper.run(): replace sys.exit(1) with return 1, add return 0 - doc_scraper: use ExecutionContext.get() when already initialized instead of re-calling initialize() which silently discards new config - unified_scraper: define enhancement_config before try/except to prevent UnboundLocalError in LOCAL enhancement timeout read Important fixes: - override(): cleaner tuple save/restore for singleton swap - --agent without --api-key now sets mode="local" so env API key doesn't override explicit agent choice - Remove DeprecationWarning from _reconstruct_argv (fires on every non-create command in production) - Rewrite scrape_generic_tool to use get_converter() instead of subprocess calls to removed main() functions - SkillConverter.run() checks build_skill() return value, returns 1 if False - estimate_pages_tool uses -m module invocation instead of .py file path Low-priority fixes: - get_converter() raises descriptive ValueError on class name typo - test_default_values: save/clear API key env vars before asserting mode - test_get_converter_pdf: fix config key "path" → "pdf_path" 3056 passed, 4 failed (pre-existing dep version issues), 32 skipped. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: update MCP server tests to mock converter instead of subprocess scrape_docs_tool now uses get_converter() + _run_converter() in-process instead of run_subprocess_with_streaming. Update 4 TestScrapeDocsTool tests to mock the converter layer instead of the removed subprocess path. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: YusufKaraaslanSpyke <yusuf@spykegames.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
yusyus
GitHub
@@ -8,7 +8,6 @@ Tests verify complete fixes for:
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3. Custom API endpoint support (ANTHROPIC_BASE_URL, ANTHROPIC_AUTH_TOKEN)
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"""
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import contextlib
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import os
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import shutil
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import subprocess
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@@ -117,82 +116,48 @@ class TestIssue219Problem1LargeFiles(unittest.TestCase):
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class TestIssue219Problem2CLIFlags(unittest.TestCase):
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"""E2E Test: Problem #2 - CLI flags working through main.py dispatcher"""
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"""E2E Test: Problem #2 - CLI flags working through create command"""
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def test_github_command_has_enhancement_flags(self):
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"""E2E: Verify --enhance-level flag exists in github command help"""
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def test_create_command_has_enhancement_flags(self):
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"""E2E: Verify --enhance-level flag exists in create command help"""
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result = subprocess.run(
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["skill-seekers", "github", "--help"], capture_output=True, text=True
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["skill-seekers", "create", "--help"], capture_output=True, text=True
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)
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# VERIFY: Command succeeds
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self.assertEqual(result.returncode, 0, "github --help should succeed")
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self.assertEqual(result.returncode, 0, "create --help should succeed")
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# VERIFY: Enhancement flags present
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self.assertIn("--enhance-level", result.stdout, "Missing --enhance-level flag")
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self.assertIn("--api-key", result.stdout, "Missing --api-key flag")
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def test_github_command_accepts_enhance_level_flag(self):
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"""E2E: Verify --enhance-level flag doesn't cause 'unrecognized arguments' error"""
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# Strategy: Parse arguments directly without executing to avoid network hangs on CI
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# This tests that the CLI accepts the flag without actually running the command
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import argparse
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def test_enhance_level_flag_accepted_by_create(self):
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"""E2E: Verify --enhance-level flag is accepted by create command parser"""
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from skill_seekers.cli.main import create_parser
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# Get the argument parser from github_scraper
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parser = argparse.ArgumentParser()
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# Add the same arguments as github_scraper.main()
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parser.add_argument("--repo", required=True)
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parser.add_argument("--enhance-level", type=int, choices=[0, 1, 2, 3], default=2)
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parser.add_argument("--api-key")
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parser = create_parser()
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# VERIFY: Parsing succeeds without "unrecognized arguments" error
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try:
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args = parser.parse_args(["--repo", "test/test", "--enhance-level", "2"])
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# If we get here, argument parsing succeeded
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args = parser.parse_args(["create", "owner/repo", "--enhance-level", "2"])
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self.assertEqual(args.enhance_level, 2, "Flag should be parsed as 2")
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self.assertEqual(args.repo, "test/test")
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except SystemExit as e:
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# Argument parsing failed
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self.fail(f"Argument parsing failed with: {e}")
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def test_cli_dispatcher_forwards_flags_to_github_scraper(self):
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"""E2E: Verify main.py dispatcher forwards flags to github_scraper.py"""
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from skill_seekers.cli import main
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def test_github_scraper_class_accepts_enhance_level(self):
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"""E2E: Verify GitHubScraper config accepts enhance_level."""
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from skill_seekers.cli.github_scraper import GitHubScraper
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# Mock sys.argv to simulate CLI call
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test_args = [
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"skill-seekers",
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"github",
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"--repo",
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"test/test",
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"--name",
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"test",
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"--enhance-level",
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"2",
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]
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config = {
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"repo": "test/test",
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"name": "test",
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"github_token": None,
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"enhance_level": 2,
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}
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with (
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patch("sys.argv", test_args),
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patch("skill_seekers.cli.github_scraper.main") as mock_github_main,
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):
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mock_github_main.return_value = 0
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# Call main dispatcher
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with patch("sys.exit"), contextlib.suppress(SystemExit):
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main.main()
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# VERIFY: github_scraper.main was called
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mock_github_main.assert_called_once()
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# VERIFY: sys.argv contains --enhance-level flag
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# (main.py should have added it before calling github_scraper)
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called_with_enhance = any(
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"--enhance-level" in str(call) for call in mock_github_main.call_args_list
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)
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self.assertTrue(
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called_with_enhance or "--enhance-level" in sys.argv,
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"Flag should be forwarded to github_scraper",
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)
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with patch("skill_seekers.cli.github_scraper.Github"):
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scraper = GitHubScraper(config)
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# Just verify it doesn't crash with enhance_level in config
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self.assertIsNotNone(scraper)
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@unittest.skipIf(not ANTHROPIC_AVAILABLE, "anthropic package not installed")
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@@ -338,17 +303,16 @@ class TestIssue219IntegrationAll(unittest.TestCase):
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def test_all_fixes_work_together(self):
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"""E2E: Verify all 3 fixes work in combination"""
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# This test verifies the complete workflow:
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# 1. CLI accepts --enhance-level
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# 1. CLI accepts --enhance-level via create command
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# 2. Large files are downloaded
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# 3. Custom API endpoints work
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result = subprocess.run(
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["skill-seekers", "github", "--help"], capture_output=True, text=True
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["skill-seekers", "create", "--help"], capture_output=True, text=True
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)
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# Enhancement flags present
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self.assertIn("--enhance-level", result.stdout)
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self.assertIn("--api-key", result.stdout)
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# Verify we can import all fixed modules
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try:
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