Borrowing it
Nothing to install: this file belongs to beingsmit/technical-product-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/beingsmit/technical-product-gtm/main/AGENTS.mdgit clone --depth 1 https://github.com/beingsmit/technical-product-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/beingsmit/technical-product-gtm/agents-md)<a href="https://agentmods.dev/instructions/beingsmit/technical-product-gtm/agents-md"><img src="https://agentmods.dev/badge/instructions/beingsmit/technical-product-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/beingsmit/technical-product-gtm/agents-md"><img src="https://agentmods.dev/badge/instructions/beingsmit/technical-product-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 | $0.00527 | $0.00527 |
| Opus 5.5 | $0.00211 | $0.00211 |
| Sonnet 5.5 | $0.00105 | $0.00105 |
| Haiku 4.5 | $0.00053 | $0.00053 |
Grade A, and why
technical-product-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 1mo 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 — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
What This Is
11 go-to-market skills for B2B SaaS companies — built for founders of AI and technical products, GTM leaders, and operators from Seed through Series D. Each skill is a self-contained SKILL.md in the skills/ directory.
How to Use These Skills
Skills are loaded based on what the user is working on. Here's when to load each one:
Positioning & pricing questions — user is struggling with messaging, competitive differentiation, or pricing architecture:
positioning-strategy→ messaging sounds like competitors, category creation, repositioningtechnical-product-pricing→ usage-based vs seat-based debates, freemium gates, price increasesai-gtm→ selling AI products, "will this replace my team?" objections, AI pricing models
Building GTM motions — user is setting up or scaling go-to-market channels:
partnership-architecture→ partner programs, channel strategy, certification wedges, build-vs-partnerdeveloper-ecosystem→ developer adoption, open vs curated marketplaces, student programsproduct-led-growth→ self-serve funnels, PLG vs sales-led decisions, growth experimentation0-to-1-launch→ new market entry, first 50 customers, partner-led launches
Enterprise execution — user is in active deals or post-sale:
enterprise-account-planning→ stuck deals, MEDDICC qualification, procurement navigation, mutual action plansenterprise-onboarding→ champion went quiet, adoption stalled, implementation planning
Running the company — user needs operating rhythm or board prep:
operating-cadence→ meeting structures, metric dashboards, quarterly planning, decision rightsboard-and-investor-communication→ board decks, investor updates, missed quarter narratives
What Makes These Skills Different
Each skill contains specific decision thresholds (not principles), real stories where things went wrong before they went right, and the counter-intuitive patterns most operators learn too late. When applying a framework, use the specific numbers and criteria in the skill — they're earned, not theoretical.
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.
- 1mo ago First seen · 37 lines · 527 tokens per session scan A dd2d96f9005f
technical-product-gtm AGENTS.md is an instructions file published in the GitHub repository beingsmit/technical-product-gtm (47 stars, last pushed 7mo ago), licensed MIT. It adds 527 tokens to every session, about $0.0021 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 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.