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 skills add AIDevGTM/gtm-cofounder --skill 12-pricinggit clone --depth 1 https://github.com/AIDevGTM/gtm-cofounderWrote 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/skills/aidevgtm/gtm-cofounder/12-pricing)<a href="https://agentmods.dev/skills/aidevgtm/gtm-cofounder/12-pricing"><img src="https://agentmods.dev/badge/skills/aidevgtm/gtm-cofounder/12-pricing/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/skills/aidevgtm/gtm-cofounder/12-pricing"><img src="https://agentmods.dev/badge/skills/aidevgtm/gtm-cofounder/12-pricing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00070 | $0.01905 |
| Opus 5 | $0.00035 | $0.00953 |
| Sonnet 5 | $0.00014 | $0.00381 |
| Haiku 4.5 | $0.00007 | $0.00191 |
Grade A, and why
pricing 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 12d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pricing (what to charge, and how)
Price is not a number you pick at the end. It is a positioning decision: it tells the market who you are, what you replace, and how much you believe you are worth. Get it from evidence, not fear.
Use this when: you are guessing at a price, you priced on a gut feeling and now feel stuck with it, you don't know where the free line goes, developers use it and nobody pays, or you believe "developers won't pay for this" so you have never charged at all.
The core idea
Three decisions, in order. Most founders skip to the third and wonder why nothing converts.
- The value metric (what you charge per). The single most important pricing decision. Get this wrong and no tier structure saves you.
- The packaging (what is free, what is paid, what is enterprise, and what triggers the upgrade).
- The number (the actual price on each tier).
One rule sits under all of it: price against the value the customer gets, never against your cost or your fear. Your AWS bill is not a pricing strategy.
First: are you even ready to price?
Do not gate before you have proof people come back. If week-2 retention is weak, a paywall just turns a leaky funnel into a smaller leaky funnel. Prove retention, then monetize (see know-if-its-working). The one exception: if buyers are already emailing "can we pay you for X," that is a green light regardless of stage. Stated willingness to pay is the strongest signal there is.
Framework: the value metric
Charge for the thing that grows as the customer gets more value. A good metric:
- Scales with their success, so the bill grows as they grow (seats, active users, projects, events, API calls, GB, builds, endpoints monitored).
- Stays predictable enough that finance can forecast it. Pure usage that spikes 10x overnight creates bill shock and churn.
- Is legible in one sentence. If a dev cannot predict roughly what they will pay, they will not adopt.
Does the value come mostly from more PEOPLE using it (collaboration, seats)?
├─ YES → per-seat, but watch for seat-sharing and bot accounts deflating it
└─ NO → value comes from more USAGE (events, calls, compute, data)
→ usage-based, with a floor and caps so the bill stays predictable
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.
- 12d ago First seen · 93 lines · 70 tokens per session scan A 8ec84bff3da8
pricing is a skill published in the GitHub repository AIDevGTM/gtm-cofounder (274 stars, last pushed 4d ago), licensed MIT. It adds 70 tokens to every session and 1,905 once invoked, about $0.0003 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.
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