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/AGENTS.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/instructions/qte77/agentic-market-research-to-gtm/agents-md)<a href="https://agentmods.dev/instructions/qte77/agentic-market-research-to-gtm/agents-md"><img src="https://agentmods.dev/badge/instructions/qte77/agentic-market-research-to-gtm/agents-md/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/instructions/qte77/agentic-market-research-to-gtm/agents-md"><img src="https://agentmods.dev/badge/instructions/qte77/agentic-market-research-to-gtm/agents-md.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 | $0.01953 | $0.01953 |
| Opus 5 | $0.00977 | $0.00977 |
| Sonnet 5 | $0.00391 | $0.00391 |
| Haiku 4.5 | $0.00195 | $0.00195 |
Grade A, and why
agentic-market-research-to-gtm AGENTS.md 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.
How it starts
The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Startup Market Research - Claude Code Agents Orchestration
Execute the complete AI startup market research and go-to-market strategy development pipeline automatically by following these orchestration instructions.
Expected Pipeline Output
results/source/- Source project technical analysis and capability assessmentresults/landscape/- Industry landscape and competitive intelligenceresults/research/- Strategic market research analysisresults/pmf/- Product-market fit validation and optimization recommendationsresults/validation/- Quality assurance reports and validation metricsresults/gtm/- Comprehensive go-to-market strategyresults/contradictions/- Contradiction analysis and objection handlingresults/synthesis/- Executive synthesis and strategic integrationresults/slide_decks/- Investor-ready presentation materialsresults/logs/- Pipeline execution logs and mode tracking- Full automation from technical analysis through PMF validation to actionable launch plans with executive summaries and pitch decks
Orchestration Overview
This file defines the orchestrated execution workflow using TodoWrite progress tracking and Task tool subagent management.
Validation Strategy
Validated Phases: The following phases include validation with the results-validator subagent:
- Phase 0 (Source Project Analysis): Validates technical analysis accuracy and completeness
- Phase 1A (Industry Landscape): Validates competitive analysis accuracy, source quality, and completeness
- Phase 1B (Market Research): Validates research accuracy, strategic alignment, and investment readiness
- Phase 2 (PMF Analysis): Validates methodology, assumptions, and recommendations
- Phase 3 (GTM Strategy): Validates consistency with research/PMF findings and assumptions
- Phase 4 (Contradiction Analysis): Validates contradiction resolution and objection handling completeness
- Phase 5 (Research Synthesis): Validates cross-phase consistency and strategic integration
- Phase 6 (Slide Decks): Validates accuracy, consistency with source materials, and presentation quality
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 · 152 lines · 1,953 tokens per session scan A 571865f50d2c
agentic-market-research-to-gtm AGENTS.md is an instructions file published in the GitHub repository qte77/agentic-market-research-to-gtm (2 stars, last pushed 2mo ago), licensed BSD-3-Clause. It adds 1,953 tokens to every session, about $0.0098 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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