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.
npx agentmods add instructions/beingsmit/technical-product-gtm/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.svg" alt="Measured on agentmods" 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 | $0.00264 | $0.00264 |
| Sonnet 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 6d 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.
- 6d 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 (42 stars, last pushed 5mo ago), licensed MIT. It adds 527 tokens to every session, about $0.0026 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 2026-08-30.
Other instructions, from other repositories
pg-aiguide CLAUDE.md
Claude Code instructions for timescale/pg-aiguide, covering tiger docs mcp server - development guidelines, build, test & run commands, code style guidelines and python (ingest/).
supergraph AGENTS.md
AGENTS.md instructions for datit309/supergraph, covering supergraph — mandatory workflows, skills, auto language detection, tiered workflow — pick the right tier first and full pipeline (tier 3).
markifact-mcp GEMINI.md
Instructions for markifact/markifact-mcp, covering markifact, the 8 tools, discover → inspect → run, connection vs account and reporting workflow.
embedded-systems-architect AGENTS.md
Instructions for Zachariah9420/embedded-systems-architect: This repository ships an agent skill for embedded-systems and edge-AI development work.
frankfurter-api AGENTS.md
Instructions for NanookAI/frankfurter-api, covering agent instructions, layout, conventions, known live-api facts worth preserving and validation checklist before committing.
multai CLAUDE.md
Claude Code instructions for alo-exp/multai, covering multai — claude code instructions, 0. session startup (automatic), project overview, 1. automated enforcement and 2. active workflow.