Deep Research Report Framework
Structure research around a clear question, independent sources, dated evidence and explicit uncertainty.
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Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-deep-research-framework | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
Deep Research Report Framework
A report framework that bounds research questions and tiers evidence before conclusions. It requires independent cross-checks, timestamps and explicit uncertainty. Use it for research or competitive analysis that needs traceable conclusions and source checks.
What it does
Deep Research Report Framework organizes a research report so conclusions can be traced to evidence and unknowns remain visible. It starts with a single sentence stating the question the report must answer and allows at most three sub-questions. This limits scope before searching and gives each body section a specific question to resolve.
The framework defines source tiers before the search. Primary sources include official documentation, original papers and filings, protocol or legal texts, and measured data. Secondary sources include reputable reporting, industry reports and expert interviews. Social posts, forums and aggregators are tertiary sources: useful leads, but not evidence for a core conclusion.
Key conclusions need at least two independent sources. Independence refers to origins, so outlets quoting the same release or wire story count as one origin. A conclusion without a second source is downgraded and labeled as a single-source claim. Every number needs a source; an unsupported number is removed rather than rephrased.
When to use - and when NOT to
Use it for research reports, topic investigations or competitive analyses where source quality and cross-verification must precede conclusions. It is also useful for avoiding undated facts, unsupported verdicts and lists of sources that never resolve into a stated conclusion.
Source quality limits the report. The skill enforces research discipline but cannot authenticate a declared primary source or automatically detect shared-origin syndication. Recency statements expire when underlying sources change; older reports are not automatically re-verified. It does not permit a forum post to become a claim that research has established something.
Inputs and outputs
Inputs are the research question, bounded sub-questions and evidence obtained with search or fetch tools. Output starts with a brief statement of core conclusions. Each body section follows conclusion, evidence and sources. The closing uncertainty statement identifies information not found, speculation and conditions that would change the conclusions.
Key facts receive dates. Undated information is treated as possibly stale. Speculation carries uncertainty language rather than presented as obvious or established fact. Unknowns should be made explicit before certainty is overstated. This keeps an incomplete investigation from looking omniscient.
The outline includes this uncertainty section:
Uncertainty statement
- Not found: …
- Single-source claims: … (one source only, pending verification)
- Invalidation conditions: if … changes, conclusion X in this report needs reassessment.
Integrations
Source-backed research requires web access through search or fetch tools. Without that access, the skill stops instead of producing a research report from memory, or labels external facts UNVERIFIED and warns on the cover. Tool access supports evidence gathering, while the decision about whether origins are independent remains a judgment call. The framework supplies report structure and evidence rules; each conclusion still depends on the sources gathered for the actual question.
Discussion
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