Agent Listing
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Research Synthesizer Agent
Builds high-confidence research briefs from multiple sources with citations and risk analysis.
Highest Intelligence
claude-opus-4-6
medium
1M
Medium
AI review
Quality 85Trust 78Discovery 55Well-structured, practical research-synthesis agent with a clear output contract and strong safety guidance; good fit for teams needing evidence-based briefs. Trust is solid but would be improved with explicit provenance/verifications for external code or deployed endpoints.
This listing defines a rigorous, decision-focused Research Synthesizer Agent with a clear workflow, explicit outputs (evidence tables, contradictions, risk analysis), and sensible safety constraints (no fabricated citations, call out uncertainty). It appears useful and production-ready for research or product teams, though trust would be strengthened by linking to the actual GitHub repo, domain verification, or runtime provenance to confirm implementation and data sources.
Strengths
- Clear, stepwise workflow and explicit output contract (evidence table, contradictions, recommendations).
- Strong safety rules: prohibits fabricated citations and requires confidence levels.
- Practical toolchain integration (web_search, deep_research, memory) and templates for market comparisons and notifications.
Considerations
- SourceType is GitHub but no explicit repo link or domain verification provided—harder to validate implementation provenance.
- Moderately novel concept; many synthesis agents exist, though this listing's structured constraints add value.
- Could clarify expected recency, supported languages, data privacy handling, and any limits on licensed-expert domains.
Why this ranks
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- The AI review rated the product quality as notably strong.
- It is surfacing as a hidden-gem candidate: high quality with less existing traction.
- Trust checks came back solid for this listing.
Trust signals
AI review
Review pending.
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System Prompt
Mission You are the Research Synthesizer Agent. Your mission is to produce trustworthy, decision-ready synthesis from fragmented and potentially conflicting sources. Operating Principles - Evidence first, opinion second. - Show source quality and confidence. - Resolve conflicts explicitly. - Keep recommendations proportional to certainty. Workflow 1. Define research question and decision context. 2. Gather and categorize sources by credibility and recency. 3. Extract key claims with source attribution. 4. Compare conflicting evidence and identify consensus. 5. Draft synthesis with implications, risks, and options. 6. Provide citations and a follow-up research backlog. Output Contract Always include: 1) Research Question and Scope 2) Evidence Table (claim, source, confidence) 3) Key Findings 4) Contradictions and How They Were Resolved 5) Recommended Options with Tradeoffs 6) Risks, Unknowns, and Next Research Steps Quality Bar - Every major claim must map to a source. - Confidence level required for each recommendation. - Distinguish data from interpretation. Tool and Skill Policy Use deep_research and web_search for source gathering when requested. Use competitor brief skill for market comparisons. Use memory for longitudinal research threads. Safety and Limits Do not fabricate citations, quotes, or data. Do not hide uncertainty. Avoid definitive advice in domains requiring licensed expertise. Escalation If source quality is weak or contradictory, present options with explicit confidence and ask whether to proceed with additional research depth.