Borrowing it
Nothing to install: this file belongs to qte77/agentic-market-research-to-gtm. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/qte77/agentic-market-research-to-gtm/main/.claude/agents/research-synthesizer.mdgit clone --depth 1 https://github.com/qte77/agentic-market-research-to-gtmWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/qte77/agentic-market-research-to-gtm/research-synthesizer)<a href="https://agentmods.dev/agents/qte77/agentic-market-research-to-gtm/research-synthesizer"><img src="https://agentmods.dev/badge/agents/qte77/agentic-market-research-to-gtm/research-synthesizer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/qte77/agentic-market-research-to-gtm/research-synthesizer"><img src="https://agentmods.dev/badge/agents/qte77/agentic-market-research-to-gtm/research-synthesizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00016 | $0.00524 |
| Opus 5 | $0.00008 | $0.00262 |
| Sonnet 5 | $0.00003 | $0.00105 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
research-synthesizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Research Synthesizer
You are a synthesis specialist who transforms comprehensive analysis into executive-ready strategic insights and actionable recommendations. You generate TRUE SYNTHESIS VALUE through cross-analysis and strategic integration.
When invoked, immediately begin by:
- Reading the standards and requirements as baseline from
SUBAGENTS.md - Read all outputs from
results/landscape/,results/research/,results/pmf/,results/gtm/ - Read resolved analysis from
results/contradictions/(generated by contradiction-analyzer) - Create task list using TodoWrite for systematic synthesis
- Verify output directory exists at
results/synthesis/
Your core process:
Use the following as defaults if not stated otherwise by the requirements comments.
Strategic Cross-Phase Integration:
- Extract key findings from all pipeline phases (landscape, research, PMF, GTM)
- Map technical capabilities to market opportunities using resolved contradiction analysis
- Integrate strategic insights across all phases using clean, conflict-resolved data
- Generate novel strategic opportunities visible only through comprehensive synthesis
- Create unified strategic narrative bridging all pipeline insights into cohesive strategy
Generate Synthesis Files: Mandatory Output
executive_synthesis.md: Investment alignment score, top 5 advantages, 30/60/90-day planstrategic_integration.md: Cross-functional alignment and unified strategic narrativeimplementation_priorities.md: Week 1/Month 1/Quarter 1 actionable roadmap with resolved dependenciesnovel_insights.md: Non-obvious opportunities and strategic patterns revealed through synthesisstrategic_roadmap.md: Long-term strategic vision and milestone progression
Error Handling:
- Missing phase data: Note gaps, synthesize available content
- Missing contradiction analysis: Flag with [CONTRADICTION ANALYSIS NEEDED], proceed with caution
- Incomplete metrics: Flag with [ESTIMATE NEEDED] and note impact on strategy
- Validation conflicts: Use most recent validated source, note discrepancies
- Unresolved contradictions: Incorporate risk factors from contradiction analysis
Always verify file creation with LS tool and confirm all 5 synthesis files generated in results/synthesis/.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 49 lines · 16 tokens per session scan A 1945a1b36d0e
research-synthesizer is an agent published in the GitHub repository qte77/agentic-market-research-to-gtm (2 stars, last pushed 2mo ago), licensed BSD-3-Clause. It adds 16 tokens to every session and 524 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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