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research-goal

Manage multi-step financial research with a clear objective, acceptance criteria, and linked evidence. Track findings across turns, audit whether each criterion is supported, and report unresolved gaps while keeping the workflow limited to research.

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Goal-driven finance research workflow: attach a research-only objective, track criteria, and add evidence while avoiding live trading execution.

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适用场景

  • Compare strategies or assets against shared criteria
  • Review the evidence supporting an investment thesis
  • Resume a research task across multiple turns
  • Audit evidence before marking research complete

包含的文件(1)

  • SKILL.md3.2 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Goal-Driven Finance Research

Use this skill when a user asks for a multi-step finance research task, comparison, audit, thesis review, or "keep working until the answer is supported." The goal runtime is for research only. Never use it to place, submit, or execute trades.

When to Attach a Goal

Start a goal when the task has any of these traits:

  • It needs multiple criteria before a conclusion is credible.
  • It compares strategies, assets, regimes, or evidence sources.
  • It may continue across turns or require a final audit.
  • The user asks for "long driven task", "goal", "审计", "对比", "研究结论", or similar.

Do not start a goal for a tiny one-shot answer unless the user explicitly asks.

Tool Flow

  1. Call start_research_goal with a concise research-only objective.
  2. Include 3-5 acceptance criteria when the user provided enough context.
  3. Before continuing an existing task, call get_research_goal.
  4. After a market-data lookup, backtest, document read, web source, or manual reasoning step, call add_goal_evidence.
  5. Link evidence to a criterion using criterion_id or criterion_index.
  6. When all required criteria have been audited, call update_research_goal_status.

Criteria Template

Use this shape when the user did not provide criteria:

  • Define the research-only thesis and symbol universe.
  • Collect fresh market, benchmark, or artifact evidence.
  • Compare alternatives or a control baseline.
  • Record caveats, contradictions, and the non-advice boundary.

Evidence Rules

  • Keep evidence short and concrete.
  • Prefer artifact-backed evidence when a tool produced a run or file.
  • Include run_id, artifact_path, source_provider, source_type, symbol_universe, benchmark, and data_as_of when known.
  • For evidence backed by one specific tool result, copy that result's exact tool_call_id into add_goal_evidence; do not shorten, alias, or invent it.
  • evidence_id values such as ev_... identify rows in the research-goal ledger. They are used by goal audits and are never grounding source refs; do not write ev_...::field in a figures declaration.
  • tool_call_id preserves provenance but does not verify goal completion by itself. Completion still needs verified evidence from an existing run_id or an allowed artifact_path with a matching sha256 hash.
  • Do not mark live trading instructions as evidence. Refuse or reframe them as research-only analysis.

Completion Rules

  • Use update_research_goal_status(status="complete") only after every required criterion has an audit row.
  • Satisfied audit rows must cite verified evidence_ids.
  • Use status="blocked" or status="insufficient_evidence" when evidence is missing, stale, contradictory, or not verifiable.
  • Use status="cancelled" only when the user explicitly asks to end or discard the goal.

Response Style

Tell the user what the goal is tracking only when it helps. Do not flood the answer with ledger details. Lead with the research conclusion, then mention which criteria remain unresolved.

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