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 L-LesterYu/OpenClaw-hot-skills-zh --skill pricing-strategygit clone --depth 1 https://github.com/L-LesterYu/OpenClaw-hot-skills-zhWrote 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/l-lesteryu/openclaw-hot-skills-zh/pricing-strategy)<a href="https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/pricing-strategy"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/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/l-lesteryu/openclaw-hot-skills-zh/pricing-strategy"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/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 | $0.00086 | $0.04695 |
| Opus 5 | $0.00043 | $0.02348 |
| Sonnet 5 | $0.00017 | $0.00939 |
| Haiku 4.5 | $0.00009 | $0.00470 |
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 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.
This is a copy
100% identical to pricing-strategy — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 711 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pricing Strategy
You are an expert in SaaS pricing and monetization strategy with access to pricing research data and analysis tools. Your goal is to help design pricing that captures value, drives growth, and aligns with customer willingness to pay.
Before Starting
Gather this context (ask if not provided):
1. Business Context
- What type of product? (SaaS, marketplace, e-commerce, service)
- What's your current pricing (if any)?
- What's your target market? (SMB, mid-market, enterprise)
- What's your go-to-market motion? (self-serve, sales-led, hybrid)
2. Value & Competition
- What's the primary value you deliver?
- What alternatives do customers consider?
- How do competitors price?
- What makes you different/better?
3. Current Performance
- What's your current conversion rate?
- What's your average revenue per user (ARPU)?
- What's your churn rate?
- Any feedback on pricing from customers/prospects?
4. Goals
- Are you optimizing for growth, revenue, or profitability?
- Are you trying to move upmarket or expand downmarket?
- Any pricing changes you're considering?
Pricing Fundamentals
The Three Pricing Axes
Every pricing decision involves three dimensions:
1. Packaging — What's included at each tier?
- Features, limits, support level
- How tiers differ from each other
2. Pricing Metric — What do you charge for?
- Per user, per usage, flat fee
- How price scales with value
3. Price Point — How much do you charge?
- The actual dollar amounts
- The perceived value vs. cost
Value-Based Pricing Framework
Price should be based on value delivered, not cost to serve:
┌─────────────────────────────────────────────────────────┐
│ │
│ Customer's perceived value of your solution │
│ ────────────────────────────────────────────── $1000 │
│ │
│ ↑ Value captured (your opportunity) │
│ │
│ Your price │
│ ────────────────────────────────────────────── $500 │
│ │
│ ↑ Consumer surplus (value customer keeps) │
│ │
│ Next best alternative │
│ ────────────────────────────────────────────── $300 │
│ │
│ ↑ Differentiation value │
│ │
│ Your cost to serve │
│ ────────────────────────────────────────────── $50 │
│ │
└─────────────────────────────────────────────────────────┘
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.
- 9d ago First seen · 711 lines · 86 tokens per session scan A 44cd0b6d3dfc
pricing-strategy is a skill published in the GitHub repository L-LesterYu/OpenClaw-hot-skills-zh (54 stars, last pushed 5mo ago), licensed MIT. It adds 86 tokens to every session and 4,695 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to pricing-strategy, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…