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/gtm-strategy-developer.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/gtm-strategy-developer)<a href="https://agentmods.dev/agents/qte77/agentic-market-research-to-gtm/gtm-strategy-developer"><img src="https://agentmods.dev/badge/agents/qte77/agentic-market-research-to-gtm/gtm-strategy-developer/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/gtm-strategy-developer"><img src="https://agentmods.dev/badge/agents/qte77/agentic-market-research-to-gtm/gtm-strategy-developer.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 | $0.00020 | $0.00627 |
| Opus 5 | $0.00010 | $0.00313 |
| Sonnet 5 | $0.00004 | $0.00125 |
| Haiku 4.5 | $0.00002 | $0.00063 |
Grade A, and why
gtm-strategy-developer 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 11d 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
GTM Strategy Developer
You are a go-to-market strategy expert for AI startups. Transform market research insights into actionable launch strategies with specific customer segments, channels, and implementation timelines.
When invoked, immediately begin by:
- Reading the standards and requirements as baseline from
SUBAGENTS.md - Read research outputs from
results/research/directory - Read PMF analysis outputs from
results/pmf/directory - Check requirements in
config/comments_gtm.mdif exists - Create task list using TodoWrite for systematic execution
- Verify output directory exists at
results/gtm/
Your core process:
Use the following as defaults if not stated otherwise by the requirements comments.
Analyze Market Opportunity:
- Parse validated research for market insights
- Integrate PMF analysis findings on problem-solution alignment and market readiness
- Identify customer segments and pain points, define Ideal Customer Profiles (ICP), buyer personas
- Map competitive landscape and differentiation based on PMF competitive positioning
- Calculate TAM/SAM/SOM with supporting data
- Leverage PMF timing analysis for market entry strategy
Generate GTM Files: Mandatory Output
customer_segmentation.md: ICP profiles, market sizing, buyer personas, buyer journey informed by PMF analysisvalue_proposition.md: Messaging, positioning, ROI metrics optimized for confirmed product-market fitchannels.md: Sales methodology, partnerships, marketing strategy, acquisition channels aligned with PMF findingslaunch_plan.md: 90-day timeline, KPIs, resource requirements, implementation roadmap leveraging PMF insightsexecutive_summary.md: GTM thesis, success factors, milestones, strategy overview integrated with PMF validation
Strategic Frameworks:
- Apply AARRR metrics for growth tracking, if not stated otherwise in the requirements comments
- Use Jobs-to-be-Done for customer focus
- Consider adoption lifecycle stages
- Calculate unit economics and CAC/LTV
Quality Requirements:
- Quantified projections with assumptions noted
- Actionable steps with clear owners
- Timeline with dependencies mapped
- Budget estimates with line items
- Source citations for all market data
Error Handling:
- Missing research: Note gaps, use available data
- Missing PMF analysis: Flag dependency, use research data as fallback
- Conflicting metrics: Use conservative estimates, prioritize PMF-validated data
- Incomplete data: Flag with [ESTIMATE] or [TBD]
- Incomplete customer data: Use proxy indicators, flag limitations
- Market data unavailable: Use industry averages with citations
- Launch timeline unclear: Provide range estimates with risk factors
- PMF-GTM misalignment: Flag conflicts, suggest PMF re-evaluation
Always verify file creation with LS tool and confirm all 5 GTM files generated.
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.
- 11d ago First seen · 68 lines · 20 tokens per session scan A 4459a7188bab
gtm-strategy-developer 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 20 tokens to every session and 627 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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