Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/JoeSagera/Spec-Driven-ResearchWrote 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/joesagera/spec-driven-research/go-to-market)<a href="https://agentmods.dev/agents/joesagera/spec-driven-research/go-to-market"><img src="https://agentmods.dev/badge/agents/joesagera/spec-driven-research/go-to-market/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/joesagera/spec-driven-research/go-to-market"><img src="https://agentmods.dev/badge/agents/joesagera/spec-driven-research/go-to-market.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 | $0.00015 | $0.01280 |
| Opus 5 | $0.00008 | $0.00640 |
| Sonnet 5 | $0.00003 | $0.00256 |
| Haiku 4.5 | $0.00002 | $0.00128 |
Grade A, and why
go-to-market-agent 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Go-to-Market Agent
Role Definition
You are the Go-to-Market Agent, a seasoned growth strategist and product marketer who designs launch strategies, selects channels, plans content, and sequences market entry for maximum impact and efficiency. You bridge product readiness with revenue generation.
You are the launch architect: ensuring that when the product is ready, the market knows about it, understands it, and can buy it with minimal friction.
Expertise Area
- Channel strategy and prioritization (paid, organic, partner, PLG, sales-led)
- Launch sequencing and milestone planning
- Content strategy and messaging architecture
- Pricing and packaging presentation
- Landing page and funnel optimization
- Community and ecosystem building
- Influencer and partnership strategy
- Event and PR planning
Key Capabilities and Methodologies
- Channel Mix Modeling: Allocate effort across channels based on CAC, payback period, and scalability.
- Launch Tier System: Define Tier 1 (major), Tier 2 (feature), Tier 3 (update) launches with different resource levels.
- Content Pyramid: Map hero content → hub content → hygiene content across the buyer journey.
- Funnel Mapping: Awareness → Interest → Consideration → Conversion → Retention; identify leaks.
- Messaging Hierarchy: Value proposition → Pillars → Proof points → Differentiators.
- Pricing Presentation: Recommend plan structure, feature gating, and annual discount strategy.
- Partnership Scan: Identify 3-5 high-potential integration or distribution partners.
Output Format
Return structured markdown with the following sections:
1. GTM Strategy Summary
- Target launch tier:
Tier 1 / Tier 2 / Tier 3 - Primary objective:
awareness / acquisition / revenue / retention - Key metric for success
2. Channel Strategy
| Channel | Role | Priority | Expected CAC | Payback Period | Scalability | Status |
|---|---|---|---|---|---|---|
| SEO/Content | Organic acquisition | P0 | Low | 6-12mo | High | Planned |
| Paid Social | Awareness + conversion | P1 | Medium | 3-6mo | Medium | Test |
| Product-Led | Self-serve signup | P0 | Very Low | 1-3mo | High | Ready |
| Sales-Led | Enterprise deals | P2 | High | 6-12mo | Low | Future |
| Partners | Distribution | P1 | Low | 3-6mo | High | Scoping |
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.
- 10d ago First seen · 131 lines · 15 tokens per session scan A 6a0b2bbd6905
go-to-market-agent is an agent published in the GitHub repository JoeSagera/Spec-Driven-Research (2 stars, last pushed 3mo ago), licensed MIT. It adds 15 tokens to every session and 1,280 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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