What is research-synthesizer?

A research agent that combines findings from landscape, research, product-market fit, and go-to-market analyses into executive summaries and strategic recommendations. It also uses resolved contradictions between earlier analyses.

Use it to create strategic reports, connect technical abilities with market opportunities, and identify opportunities across multiple research phases.

It turns scattered research documents into one consistent view, so readers do not have to compare every phase themselves.

How qte77/agentic-market-research-to-gtm configures Claude Code

Reuse

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.

Copy the file

curl -O https://raw.githubusercontent.com/qte77/agentic-market-research-to-gtm/main/.claude/agents/research-synthesizer.md

Clone the repo

git clone --depth 1 https://github.com/qte77/agentic-market-research-to-gtm

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/qte77/agentic-market-research-to-gtm/research-synthesizer/github.svg)](https://agentmods.dev/agents/qte77/agentic-market-research-to-gtm/research-synthesizer)

Your own site

<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.

Your own site · 80×15

<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>

Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 524 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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 5.5	$0.00006	$0.00210
Sonnet 5.5	$0.00003	$0.00105
Haiku 4.5	$0.00002	$0.00052

Measured 2mo ago against content hash 1945a1b36d0e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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.

.claude/agents/research-synthesizer.md · 49 lines

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 plan
strategic_integration.md: Cross-functional alignment and unified strategic narrative
implementation_priorities.md: Week 1/Month 1/Quarter 1 actionable roadmap with resolved dependencies
novel_insights.md: Non-obvious opportunities and strategic patterns revealed through synthesis
strategic_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/.

Changes

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.

2mo ago First seen · 49 lines · 16 tokens per session scan A 1945a1b36d0e

Subscribe to this mod's changes

research-synthesizer is an agent published in the GitHub repository qte77/agentic-market-research-to-gtm (2 stars, last pushed 4d ago), licensed BSD-3-Clause. It adds 16 tokens to every session and 524 once invoked, about $0.0001 per session on Opus 5.5. 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.

Planning Research agentic-workflow ai-agents gtm market-research product-validation

research-synthesizer next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
research-synthesizerqte77/agentic-market-research-to-gtm	Agent	2	4d ago	BSD-3-Clause	A	16	Claude Code
alchemistdrobins25/craft	Agent	73	2d ago	MIT	A	355	Claude Code
verifierdrobins25/craft	Agent	73	2d ago	MIT	A	178	Claude Code
config-safety-revieweralirezarezvani/claude-code-tresor	Agent	782	4mo ago	MIT	A	37	Claude Code
web3-gasalvin-reyes/better-agentic-ide	Agent	45	2d ago	MIT	A	43	Claude Code
architecture-strategisttdwhere123/do-it	Agent	28	2d ago	MIT	A	34	Claude Code, Cursor
fact-checkersynaptiai/synapti-marketplace	Agent	7	yesterday	Apache-2.0	A	39	Claude Code

agentic-market-research-to-gtm: Agent for Claude Code