pricing-pocket-waterfall
Analyze Discount Leakage With Pocket-Price Waterfalls
Discounts, rebates, and credits can obscure the difference between list price and realized revenue. This workflow structures customer-level analysis and turns major deductions into policy recommendations.
使用我的智慧代理安裝
將此請求複製給你的智慧代理,其中包含權威 Skill 頁面和清單。
Review the Skillstore skill "pricing-pocket-waterfall" from https://skillstore.io/skills/cmj-hub-pricing-pocket-waterfall.md and its manifest at https://skillstore.io/api/skills/cmj-hub-pricing-pocket-waterfall/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.你的智慧代理仍應顯示其計畫,並依安全政策請求必要確認。
Agent 可讀資源
當 AI Agent、爬蟲或腳本需要乾淨脈絡、而不是讀取完整頁面時,請使用這些連結。
測試它
正在使用「pricing-pocket-waterfall」。 Annual list price is $1,000. Ramp discount is $100, volume discount is $50, and credits total $20. No other deductions apply.
預期結果:
- Illustrative pocket price: $830 per customer per year.
- Total deduction from list price: $170, or 17%.
- Largest deduction: ramp discount at $100.
- Policy review priority: verify the ramp discount duration and required commercial concession.
正在使用「pricing-pocket-waterfall」。 Strategic discounts average 12% of a $500,000 annual list-price revenue base. A proposed policy targets 8% without changing customer volume.
預期結果:
- Illustrative annual recovery: $20,000, calculated as a four-percentage-point reduction multiplied by $500,000.
- Required assumptions: unchanged revenue base, customer retention, and other deductions.
- Policy draft: require manager approval above 8% and record the commercial concession for each exception.
- This is a scenario estimate, not a guaranteed result or verified calculator output.
安全審計
安全All 15 static findings are false positives: Markdown backticks and fixed documentation links do not establish command execution or unsafe traversal. No evidence found of prompt injection, credential access, or data exfiltration in the reviewed file. The referenced calculator and supporting documents were not included, so their behavior could not be verified.
風險因素
分享與引用此報告
分享版本化評估報告、中性徽章、嵌入卡片與引用。Skillstore 只報告證據,不判斷該 Skill 是否安全。
複製報告連結
https://skillstore.io/skills/cmj-hub-pricing-pocket-waterfall/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown 徽章
[](https://skillstore.io/skills/cmj-hub-pricing-pocket-waterfall?utm_source=security_passport_badge)HTML 徽章
<a href="https://skillstore.io/skills/cmj-hub-pricing-pocket-waterfall?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/cmj-hub-pricing-pocket-waterfall/security.svg" alt="Skillstore security assessment" loading="lazy"></a>嵌入卡片
<iframe src="https://skillstore.io/embed/skills/cmj-hub-pricing-pocket-waterfall.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>學術引用 (APA · BibTeX · CFF)
APA 引用
cmj-hub. (2026). pricing-pocket-waterfall security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/cmj-hub-pricing-pocket-waterfall/audits/1BibTeX 引用
@techreport{cmj-hub-cmj-hub-pricing-pocket-waterfall-2026,
author = {cmj-hub},
title = {pricing-pocket-waterfall security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/cmj-hub-pricing-pocket-waterfall/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "pricing-pocket-waterfall security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "cmj-hub"
date-released: "2026-10-03"
url: "https://skillstore.io/skills/cmj-hub-pricing-pocket-waterfall/audits/1"
identifiers:
- type: other
value: "skillstore:cmj-hub-pricing-pocket-waterfall:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore 評分
評分依據 證據置信度: 中你可以打造什麼
Assess Revenue Deductions
Review customer discount and credit data to distinguish list prices from realized prices and identify major deductions.
Draft Discount Approval Policies
Translate discretionary concessions into approval thresholds, required commercial exchanges, and standardized reason codes.
Prepare Cohort Pricing Reviews
Compare discount patterns across customer segments and prepare conservative recovery scenarios for a quarterly pricing review.
試試這些提示
Review these available pricing fields: [fields]. List missing inputs needed for a pocket-price waterfall. Do not invent customer values.
Using [customer data], show deductions from annual list price to pocket price. State assumptions and missing values. Do not claim the absent calculator ran.
Review [discount findings] and [approval constraints]. Draft policies for deductions exceeding 5% of revenue. Include approval thresholds, required concessions, documentation, and reason codes.
Using [cohort data], rank the three largest deductions and compare segments. Estimate conservative recovery from [proposed discount changes]. State revenue bases, assumptions, and missing dependencies.
最佳實務
- Normalize billing cadence and distinguish percentage discounts from dollar deductions before comparing customers.
- Record missing data and inspect any separately obtained calculator before executing it with customer information.
- Use conservative recovery assumptions and connect approval thresholds to documented commercial concessions.
避免
- Treating list price as realized revenue while ignoring rebates, credits, or payment-term costs.
- Reporting successful script execution when the calculator is missing or its output is unavailable.
- Presenting a projected discount reduction as guaranteed recovery without retention and revenue-base assumptions.