17-pricing-strategy

17-pricing-strategy is a skill for Claude Code from minhnv0807/ai-business-skills. It costs 201 tokens per session (3,609 once invoked), scanned A, original, MIT.

A guide to setting or changing prices for products and services. It covers pricing models, package levels, discounts, competitor comparisons, and how to show prices on a page.

In plain words
What is it for?
Use it to compare pricing models, design packages, calculate price differences, plan discounts, and structure a pricing table.
Why use it?
It helps avoid choosing prices or packages arbitrarily. It makes the differences between price levels clear so customers understand what they receive for paying more.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ai-business-skills plugin — 144 skills, 6 agents, 10 MCP servers shipped together

Good fit Use it to compare pricing models, design packages, calculate price differences, plan discounts, and structure a pricing table.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/minhnv0807/ai-business-skills/17-pricing-strategy
Install

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.

Any agent
npx skills add minhnv0807/ai-business-skills --skill 17-pricing-strategy
Clone the repo
git clone --depth 1 https://github.com/minhnv0807/ai-business-skills

Made for: Claude Code.

Or install ai-business-skills, the plugin that ships this one along with the rest of its 144 skills, 6 agents, 10 MCP servers.

Wrote 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.

agentmods badge for 17-pricing-strategy

README.md
[![agentmods](https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/17-pricing-strategy/github.svg)](https://agentmods.dev/skills/minhnv0807/ai-business-skills/17-pricing-strategy)
Your own site
<a href="https://agentmods.dev/skills/minhnv0807/ai-business-skills/17-pricing-strategy"><img src="https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/17-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.

agentmods 80×15 button for 17-pricing-strategy

Your own site · 80×15
<a href="https://agentmods.dev/skills/minhnv0807/ai-business-skills/17-pricing-strategy"><img src="https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/17-pricing-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 201 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,609 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Tool Misuse · line 39
    Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.
    Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00201 $0.03609
Opus 5 $0.00101 $0.01804
Sonnet 5 $0.00040 $0.00722
Haiku 4.5 $0.00020 $0.00361

Measured 9d ago against content hash 6aceac57689a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

17-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 9d 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.

skills/vi/17-pricing-strategy/SKILL.md · 290 lines

How it starts

The opening of the file, as written. The whole thing — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pricing Strategy

Thu thap thong tin

Buoc 0: Kiem tra context

Doc .agents/product-marketing-context.md neu co.

Buoc 1: Hoi user

  1. Dang o giai doan nao? (Chua ra mat / Da ban nhung muon toi uu / Ra mat moi)
  2. Loai san pham? (San pham 1 lan / Subscription / Dich vu lieu trinh / Khoa hoc / SaaS)
  3. Bien do gia can nhac? (Vi du: 500K–5M / 300K–1.5M)
  4. Chi phi bien doi/don + chi phi co dinh/thang? (De tinh break-even)

6 mo hinh gia pho bien VN

Mo hinh Phu hop Vi du VN
One-time San pham 1 lan, khong dung mai My pham, quan ao, do gia dung
Subscription Dich vu lap lai SaaS, goi cham soc, membership
Tiered 2-3 goi khac gia Goi Basic/Pro/Enterprise
Package (combo) Tang perceived value Spa lieu trinh 5 buoi
Freemium Tep lon, tle convert thap App, tool online, khoa hoc
Pay-as-you-go Su dung khong deu Cloud, API, credit

Phan tang theo truc nao

"3 goi, lam noi bat goi giua" moi chi la hinh dang. Cau hoi that la: goi cao hon goi thap o CHO NAO? Khong chot truc phan tang thi cac goi se duoc ghep tuy tien, va khach khong biet minh dang tra them tien de doi lay gi.

Truc Goi cao hon co gi Hop voi Cai bay thuong gap
Tinh nang Mo khoa nhung thu goi thap khong co Phan mem, cong cu, khoa hoc co module nang cao Khoa mat tinh nang ma khach coi la co ban — ho thay bi chan chu khong thay duoc nang cap
Han muc su dung Nhieu hon: so buoi, so luot, dung luong, so nguoi dung Spa/lieu trinh, dich vu theo goi, SaaS tinh theo luot, cloud Han muc goi thap qua chat thi khach vuot ngay thang dau va thay bi gai; qua rong thi khong ai len goi cao
Muc ho tro Ho tro nhanh hon va sau hon: email → uu tien → co nguoi phu trach rieng Dich vu B2B, agency, phan mem cho doanh nghiep, coaching Ha ho tro goi thap xuong muc te de ep len goi cao — doi lai danh gia xau va hoan tien
Quyen truy cap va tuy chinh Mo them quyen: nhieu tai khoan, phan quyen, gan thuong hieu rieng, ket noi he thong Khoa hoc/cong dong, phan mem ban cho doi nhom, nen tang Ban quyen quan tri cho nguoi dung mot minh — khong ai tra them

Read the full file on GitHub · 290 lines

Changes

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.

  1. 9d ago First seen · 290 lines · 201 tokens per session scan A 6aceac57689a

Subscribe to this mod's changes

17-pricing-strategy is a skill published in the GitHub repository minhnv0807/ai-business-skills (572 stars, last pushed 26d ago), licensed MIT. It adds 201 tokens to every session and 3,609 once invoked, about $0.0010 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.