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 yuusakuri/agent-skills --skill pricing-strategygit clone --depth 1 https://github.com/yuusakuri/agent-skillsWrote 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/yuusakuri/agent-skills/pricing-strategy)<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/pricing-strategy"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/pricing-strategy/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/yuusakuri/agent-skills/pricing-strategy"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/pricing-strategy.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 | $0.00050 | $0.00838 |
| Opus 5 | $0.00025 | $0.00419 |
| Sonnet 5 | $0.00010 | $0.00168 |
| Haiku 4.5 | $0.00005 | $0.00084 |
Grade A, and why
pricing-strategy 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pricing Strategy
Design a pricing strategy grounded in value delivery, competitive positioning, and willingness to pay.
Context
You are developing a pricing strategy for $ARGUMENTS.
If the user provides files (competitor pricing, survey data, financial models, or usage data), read them first. Use web search to research competitor pricing if needed.
Instructions
-
Understand the value delivered:
- What is the core value proposition?
- What is the customer's alternative (and its cost)?
- What quantifiable outcomes does the product deliver? (time saved, revenue gained, cost reduced)
- What is the customer's willingness to pay based on that value?
-
Evaluate pricing models — recommend the best fit:
Model Best For Example Flat-rate Simple products, predictable costs Basecamp ($99/mo flat) Per-seat Collaboration tools, team products Slack, Figma Usage-based Infrastructure, API products AWS, Twilio Tiered Products with distinct user segments Most SaaS (Free/Pro/Enterprise) Freemium Products with viral/network effects Spotify, Notion Freemium + usage Platform products Vercel, OpenAI API Value-based High-impact enterprise tools Salesforce, Palantir -
Analyze competitive pricing:
- Map competitor pricing tiers and what's included
- Identify where your product sits (premium, mid-market, budget)
- Find pricing gaps or opportunities
- Note any industry pricing conventions
-
Design the pricing structure:
- Tiers: Define 2-4 tiers with clear differentiation
- Feature gating: Which features go in which tier? (Use value metrics, not arbitrary limits)
- Value metric: What unit do you charge on? (users, events, storage, API calls)
- Anchor pricing: Set the most popular tier to feel like the obvious choice
- Annual discount: Typically 15-20% off monthly pricing
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 · 86 lines · 50 tokens per session scan A 09321c5984f3
pricing-strategy is a skill published in the GitHub repository yuusakuri/agent-skills (2 stars, last pushed 5d ago), licensed MIT. It adds 50 tokens to every session and 838 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 2026-09-05.
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