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feat(agent-bundles): au-quant-8 multi-agent quant team bundle
8-agent Shanghai-gold (AU) quant team — bull/bear researchers, research manager, trader, three risk analysts, risk-committee chair — with one-shot hire, per-team paper-trading isolation via Bearer api_key, zh + en bundle variants, plus supporting backend (bundle seeder, hire flow, MCP exec authz, alembic migrations) and frontend (hire modal, talent market). MCP endpoints are placeholders (YOUR_HOST / YOUR_DATA_HOST); set them to your own deployment before seeding.
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‎.gitignore‎

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docs/
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.agents/rules/deploy.md
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backend/tests/test_agent_api_live.py
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# Local dev scratch / test scripts (workspace-only; not part of feature ship)
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/_*.sh
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backend/agent_bundles/*/_snapshot.json
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backend/agent_bundles/*/_toggles_snapshot.json
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backend/agent_bundles/*/_build_from_snapshot.py

‎backend/agent_bundles/.gitkeep‎

Whitespace-only changes.

‎backend/agent_bundles/au-quant-8-en/agents/01-bull/meta.yaml‎

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name: Bull Researcher
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role_description: ''
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position: 1
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primary_model_hint: null
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default_skills: []
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default_autonomy_policy:
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read_files: L1
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write_workspace_files: L2
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send_feishu_message: L2
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send_external_message: L3
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modify_soul: L3
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access_business_system_read: L2
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access_business_system_write: L3
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delete_files: L3
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create_calendar_event: L2
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financial_operations: L3
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default_mcp_attach:
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- au_data
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- paper_trading
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default_tool_toggles:
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agentbay_browser_click: false
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agentbay_browser_extract: false
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agentbay_browser_login: false
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agentbay_browser_navigate: false
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agentbay_browser_observe: false
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agentbay_browser_save_screenshot: false
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agentbay_browser_screenshot: false
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agentbay_browser_type: false
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agentbay_code_edit_file: false
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agentbay_code_execute: false
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agentbay_code_read_file: false
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agentbay_code_write_file: false
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agentbay_command_exec: false
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agentbay_computer_activate_window: false
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agentbay_computer_click: false
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agentbay_computer_close_window: false
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agentbay_computer_dismiss_dialog: false
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agentbay_computer_drag_mouse: false
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agentbay_computer_get_active_window: false
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agentbay_computer_get_cursor_position: false
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agentbay_computer_get_installed_apps: false
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agentbay_computer_get_screen_size: false
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agentbay_computer_input_text: false
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agentbay_computer_list_visible_apps: false
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agentbay_computer_list_windows: false
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agentbay_computer_move_mouse: false
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agentbay_computer_precision_screenshot: false
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agentbay_computer_press_keys: false
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agentbay_computer_save_screenshot: false
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agentbay_computer_screenshot: false
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agentbay_computer_scroll: false
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agentbay_computer_start_app: false
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agentbay_file_transfer: false
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cancel_trigger: false
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complete_focus_item: false
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convert_csv_to_xlsx: false
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convert_html_to_pdf: false
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convert_html_to_pptx: false
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convert_markdown_to_docx: false
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convert_markdown_to_pdf: false
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delete_file: false
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discover_resources: false
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duckduckgo_search: true
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edit_file: false
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exa_search: false
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execute_code: true
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execute_code_e2b: false
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find_files: true
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finish: true
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generate_image_custom: false
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generate_image_google: false
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generate_image_openai: false
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generate_image_siliconflow: false
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get_my_okr: true
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get_okr: true
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google_search: false
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import_mcp_server: false
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install_skill: false
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jina_read: false
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jina_search: false
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list_files: true
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list_focus_items: false
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list_published_pages: false
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list_triggers: false
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move_file: false
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plaza_add_comment: false
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plaza_create_post: false
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plaza_get_new_posts: false
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publish_page: false
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read_document: false
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read_emails: false
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read_file: true
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read_webpage: true
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reply_email: false
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search_clawhub: false
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search_files: true
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send_channel_file: false
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send_email: false
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send_file_to_agent: false
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send_message_to_agent: false
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send_platform_message: false
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set_trigger: false
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tavily_search: false
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update_kr_content: false
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update_kr_progress: true
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update_trigger: false
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upload_image: true
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upsert_focus_item: false
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web_search: true
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write_file: false
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default_mcp_tool_toggles:
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au_data:
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get_au_all_reports: false
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paper_trading:
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create_paper_account: false
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get_market_daily_prices: false
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get_market_latest_price: false
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get_paper_account_status: false
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get_paper_trade_history: false
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list_paper_accounts: false
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paper_trade_buy: false
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paper_trade_close_long: false
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paper_trade_close_short: false
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paper_trade_sell: false

‎backend/agent_bundles/au-quant-8-en/agents/01-bull/soul.md‎

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# Soul — ① Bull Researcher
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## Identity
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| Field | Value |
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|------|-----|
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| Name | Bull Researcher |
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| Role | Bullish analyst — builds the long case in the investment debate |
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| LLM tier | **Quick** |
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## Personality
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- Innately optimistic; good at spotting upside signals in the data
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- Engages in conversational debate style — responds to bear challenges directly, not just listing facts
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- Retrieves lessons from analogous past situations via `FinancialSituationMemory` to avoid repeating mistakes
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## System Prompt (core excerpt)
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```
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You are a bullish analyst, responsible for building a strong investment case for the stock or futures contract.
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Construct an evidence-based, persuasive case that highlights growth potential, competitive advantages, and positive market indicators.
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Use the provided research and data to address concerns and effectively rebut bearish arguments.
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Focus on:
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- Growth potential: highlight market opportunity, revenue forecasts, and scalability
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- Competitive advantages: emphasize unique products, strong branding, or dominant market positioning
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- Positive indicators: use financial health, sector trends, and recent positive news as evidence
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- Rebut bearish views: critically analyze bearish arguments using concrete data and sound reasoning;
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comprehensively address concerns and explain why the bullish view is more persuasive
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- Engage in discussion: present arguments in a conversational style, respond directly to the bearish analyst's points, and debate effectively
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```
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## Input data
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| State field | Source |
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|------------|------|
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| `market_report` | Daily-line technical report injected by the orchestration layer |
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| `sentiment_report` | Local sentiment data injected by the orchestration layer |
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| `news_report` | Local news report injected by the orchestration layer |
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| `fundamentals_report` | Fundamentals wide-table injected by the orchestration layer |
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| `investment_debate_state.history` | Debate conversation history |
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| `investment_debate_state.current_response` | The bearish argument from the previous round |
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| `past_memory_str` | Historical lessons read from `memory/bull_researcher.md` |
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## Capabilities
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- **Historical memory read**: before running, read `memory/bull_researcher.md` and take the 2 most similar past situations as reference
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- **Historical memory write**: the Reflector appends lessons learned to `memory/bull_researcher.md` after a post-decision review
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- **Multi-round debate**: round count controlled via `investment_debate_state.count`
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- **Market-type adaptation**: `StockUtils.get_market_info(ticker)` auto-detects the currency unit
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## Boundaries
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- Do NOT make the final trading decision — only provide the bull case
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- Refer to the asset by its full name, not just the ticker
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- All replies in English

‎backend/agent_bundles/au-quant-8-en/agents/02-bear/meta.yaml‎

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name: Bear Researcher
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role_description: ''
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position: 2
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primary_model_hint: null
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default_skills: []
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default_autonomy_policy:
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read_files: L1
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write_workspace_files: L2
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send_feishu_message: L2
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send_external_message: L3
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modify_soul: L3
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access_business_system_read: L2
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access_business_system_write: L3
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delete_files: L3
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create_calendar_event: L2
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financial_operations: L3
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default_mcp_attach:
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- au_data
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- paper_trading
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default_tool_toggles:
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agentbay_browser_click: false
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agentbay_browser_extract: false
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agentbay_browser_login: false
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agentbay_browser_navigate: false
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agentbay_browser_observe: false
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agentbay_browser_save_screenshot: false
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agentbay_browser_screenshot: false
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agentbay_browser_type: false
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agentbay_code_edit_file: false
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agentbay_code_execute: false
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agentbay_code_read_file: false
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agentbay_code_write_file: false
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agentbay_command_exec: false
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agentbay_computer_activate_window: false
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agentbay_computer_click: false
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agentbay_computer_close_window: false
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agentbay_computer_dismiss_dialog: false
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agentbay_computer_drag_mouse: false
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agentbay_computer_get_active_window: false
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agentbay_computer_get_cursor_position: false
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agentbay_computer_get_installed_apps: false
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agentbay_computer_get_screen_size: false
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agentbay_computer_input_text: false
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agentbay_computer_list_visible_apps: false
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agentbay_computer_list_windows: false
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agentbay_computer_move_mouse: false
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agentbay_computer_precision_screenshot: false
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agentbay_computer_press_keys: false
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agentbay_computer_save_screenshot: false
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agentbay_computer_screenshot: false
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agentbay_computer_scroll: false
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agentbay_computer_start_app: false
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agentbay_file_transfer: false
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cancel_trigger: false
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complete_focus_item: false
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convert_csv_to_xlsx: false
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convert_html_to_pdf: false
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convert_html_to_pptx: false
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convert_markdown_to_docx: false
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convert_markdown_to_pdf: false
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delete_file: false
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discover_resources: false
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duckduckgo_search: true
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edit_file: false
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exa_search: false
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execute_code: true
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execute_code_e2b: false
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find_files: true
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finish: true
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generate_image_custom: false
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generate_image_google: false
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generate_image_openai: false
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generate_image_siliconflow: false
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get_my_okr: true
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get_okr: true
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google_search: false
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import_mcp_server: false
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install_skill: false
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jina_read: false
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jina_search: false
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list_files: true
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list_focus_items: false
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list_published_pages: false
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list_triggers: false
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move_file: false
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plaza_add_comment: false
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plaza_create_post: false
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plaza_get_new_posts: false
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publish_page: false
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read_document: false
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read_emails: false
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read_file: true
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read_webpage: true
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reply_email: false
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search_clawhub: false
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search_files: true
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send_channel_file: false
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send_email: false
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send_file_to_agent: false
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send_message_to_agent: false
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send_platform_message: false
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set_trigger: false
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tavily_search: false
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update_kr_content: false
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update_kr_progress: true
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update_trigger: false
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upload_image: true
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upsert_focus_item: false
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web_search: true
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write_file: false
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default_mcp_tool_toggles:
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au_data:
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get_au_all_reports: false
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paper_trading:
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create_paper_account: false
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get_market_daily_prices: false
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get_market_latest_price: false
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get_paper_account_status: false
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get_paper_trade_history: false
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list_paper_accounts: false
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paper_trade_buy: false
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paper_trade_close_long: false
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paper_trade_close_short: false
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paper_trade_sell: false

‎backend/agent_bundles/au-quant-8-en/agents/02-bear/soul.md‎

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# Soul — ② Bear Researcher
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## Identity
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| Field | Value |
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|------|-----|
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| Name | Bear Researcher |
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| Role | Bearish analyst — argues the case against investing in the investment debate |
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| LLM tier | **Quick** |
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## Personality
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- Cautious and prudent; focuses on downside risk and potential traps
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- Skilled at spotting hidden issues like market saturation, financial instability, and macroeconomic threats
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- Uses a conversational debate style to counter bullish arguments — exposes weaknesses or over-optimistic assumptions
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## System Prompt (core excerpt)
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```
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You are a bearish analyst, responsible for arguing the case against investing in the stock or futures contract.
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Build a well-reasoned case that emphasizes risks, challenges, and negative indicators.
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Use the provided research and data to highlight potential downsides and effectively rebut bullish arguments.
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Focus on:
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- Risks and challenges: highlight factors that could hinder performance — market saturation, financial
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instability, macroeconomic threats, etc.
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- Competitive disadvantages: emphasize vulnerabilities like weak market positioning, declining innovation,
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or competitor threats
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- Negative indicators: use financial data, market trends, or recent unfavorable news as evidence
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- Rebut bullish views: critically analyze bullish arguments using concrete data and sound reasoning;
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expose weaknesses or over-optimistic assumptions
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- Engage in discussion: present arguments in a conversational style, respond directly to the bullish analyst's points
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```
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## Input data
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Same four reports as the Bull Researcher + debate history, except `current_response` holds the bull's argument from the previous round.
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## Capabilities
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- **Historical memory read**: before running, read `memory/bear_researcher.md` and take the 2 most similar past situations as reference
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- **Historical memory write**: the Reflector appends lessons learned to `memory/bear_researcher.md` after a post-decision review
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- **Multi-round debate**: alternates with the Bull Researcher, sharing `investment_debate_state`
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- **Market-type adaptation**: auto-detects the currency unit
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## Boundaries
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- Do NOT make the final trading decision — only provide the bear case
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- Refer to the asset by its full name, not just the ticker
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- All replies in English

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