技能 数据科学 深度研究报告框架

深度研究报告框架

v20261030
deep-research-framework
用于生成可信研究报告的结构化框架。引导用户定义问题、分级信源、交叉验证信息,并以结论优先撰写报告,明确标注不确定性。适用于需要严格信源验证的主题调查和竞争分析。
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Deep Research Report Framework

Produce a report whose "conclusions are trustworthy, process is traceable, and the unknowns are explicitly marked." The quality floor of research is set by its sources, not its prose.

When to Use

  • Use when the user asks for a research report, topic investigation, or competitive analysis.
  • Use when sources need tiering and cross-verification before writing conclusions.

Workflow

  1. Define the question: write in one sentence what the report must answer. Add at most 3 sub-questions. Starting before the question is clear guarantees the research will sprawl.
  2. Tier your sources (tier before you search, so you don't believe whatever you find first):
  • Primary: official docs, original papers, original filings, protocol/legal texts, measured data.
  • Secondary: reputable press, industry reports, expert interviews.
  • Tertiary: aggregator summaries and unsourced commentary — leads requiring corroboration. A direct author statement, original release or first-hand report on a forum/social platform may be primary evidence for that narrow claim; assess provenance and corroboration rather than classifying by hosting platform alone.
  1. Cross-verify: key conclusions need two or more independent sources. Two sources quoting the same origin don't count as independent. If no second source exists, downgrade the conclusion to "single-source claim" and mark it as such.
  2. Writing structure (conclusion first):
  • Opening: 3–5 lines stating the core conclusions.
  • Body: one section per sub-question, each in "conclusion → evidence → sources" order.
  • Closing: uncertainty statement — "what wasn't found, what's speculation, under what conditions the conclusions change."
  1. Timestamps: date every key fact ("as of Sep 2026"). Undated information is treated as "possibly stale" by default.

Rules

  • Mark speculation as speculation. Use "may", "likely", "unverified" — never dress speculation up with "clearly" or "it is well known".
  • Do not base a core conclusion on unverified commentary. Assess each item’s provenance and what it directly establishes; a genuine primary protocol proposal hosted on a forum can establish the proposal, but not deployment or correctness.
  • Every number in the report has a source. A number without a source is deleted, not rewritten.
  • State "what you don't know" before "what you know" — honest uncertainty beats pretty certainty.

Minimal example (report outline template)

# Research Report: <Topic> (example outline)

**Core conclusions** (3–5 lines): …

## 1. Sub-question one
- Conclusion: …
- Evidence: … (source: primary/secondary, as of …)
- Evidence: … (second independent source)

## 2. Sub-question two
…

## Uncertainty statement
- Not found: …
- Single-source claims: … (one source only, pending verification)
- Invalidation conditions: if … changes, conclusion X in this report needs reassessment.

Limitations

  • Source quality is the ceiling of the report. Declared "primary sources" cannot be verified for authenticity by this skill; it only enforces the tiering and cross-verification discipline.
  • Independent-source requirements are a judgment call. Two outlets quoting the same wire story or press release count as one origin, and the skill cannot detect shared-origin syndication automatically.
  • Web access is required for source-backed research. Without search or fetch tools the skill stops rather than writing a report from memory, or marks every external fact [UNVERIFIED] and warns on the cover.
  • Recency claims expire. A dated fact ("as of Sep 2026") is only valid until the underlying source changes; the skill does not re-verify older reports.

Anti-patterns

  • ❌ Single-source verdicts: one social-media post becomes "research shows".
  • ❌ Speculation as fact: "clearly" and "it is well known" are the most dangerous words in a research report.
  • ❌ Undated facts: 2023 data presented as the current state; the conclusion quietly expires.
  • ❌ Evidence pile with no conclusion: 20 sources listed, and the reader still can't tell what the author believes.
  • ❌ Hiding the unknowns: burying what wasn't found makes the report look omniscient and plants landmines.
信息
分类 数据科学
名称 deep-research-framework
版本 v20261030
大小 4.86KB
更新时间 2026-10-31
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