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 boshi-xixixi/TraeSkill --skill gtm-technical-product-pricinggit clone --depth 1 https://github.com/boshi-xixixi/TraeSkillWrote 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/boshi-xixixi/traeskill/gtm-technical-product-pricing)<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/gtm-technical-product-pricing"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/gtm-technical-product-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/boshi-xixixi/traeskill/gtm-technical-product-pricing"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/gtm-technical-product-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 | $0.00049 | $0.02947 |
| Opus 5 | $0.00024 | $0.01473 |
| Sonnet 5 | $0.00010 | $0.00589 |
| Haiku 4.5 | $0.00005 | $0.00295 |
Grade A, and why
gtm-technical-product-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 7d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- technical-product-pricing — 98% identical, 5 lines differ
How it starts
The opening of the file, as written. The whole thing — 354 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Product Pricing
Initial Assessment
Before recommending pricing, understand:
- Product type: API/platform, developer tool, SaaS application, infrastructure?
- Current pricing: What do you charge now? How long has it been this way?
- GTM motion: Self-serve, sales-assisted, enterprise, or hybrid?
- Cost structure: What's your marginal cost per customer/user/unit?
- Competitive landscape: What do alternatives cost? (Including "do nothing")
Core Frameworks
1. The Price Increase Nobody Noticed (You're Probably Underpriced)
The Pattern:
Platform company, growth stage. Pricing hadn't changed since launch. Enterprise customers paying $15K/year for a product saving them $200K+ in engineering time.
Leadership debate: "If we raise prices, we'll lose customers."
What actually happened:
Raised enterprise tier from $15K to $45K/year. Added dedicated support, SSO, audit logs to justify the jump.
Lost: 0 enterprise customers. Zero.
Gained: 3x revenue per enterprise account. Plus the customers who stayed started taking the product more seriously — higher adoption, more internal champions, more expansion.
Why This Happens:
Technical founders anchor pricing to cost ("it costs us $X to serve them, so we charge $2X"). Enterprise buyers anchor pricing to value ("this saves us $200K, so $45K is cheap").
The Pricing Sanity Check:
For every customer segment, calculate:
Value Ratio = Customer's alternative cost / Your price
If Value Ratio > 10x → You're massively underpriced
If Value Ratio > 5x → You're underpriced (most startups are here)
If Value Ratio 3-5x → Healthy pricing
If Value Ratio < 3x → Approaching ceiling
If Value Ratio < 2x → You're expensive (need strong differentiation)
How to Calculate Alternative Cost:
- Hours spent on manual process × hourly rate × frequency
- Cost of building in-house (engineers × months × loaded cost)
- Cost of existing tool + switching cost + productivity loss during transition
- Cost of not solving the problem (incidents, downtime, churn)
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.
- 7d ago First seen · 354 lines · 49 tokens per session scan A afb71bdbcbc0
gtm-technical-product-pricing is a skill published in the GitHub repository boshi-xixixi/TraeSkill (263 stars, last pushed 4mo ago), licensed MIT. It adds 49 tokens to every session and 2,947 once invoked, about $0.0002 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 2026-09-03.
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