Fähigkeiten data-product-pricing-expert

📦

data-product-pricing-expert

Name: data-product-pricing-expert
Author: 图灵数盟

Inhaltsrevision r1 Sicher 📁 Dateisystemzugriff⚙️ Externe Befehle🌐 Netzwerkzugriff

Price Data Products with Defensible Models

Data products often lack clear costs, comparable offers, and stable buyer value. This skill builds evidence-based price ranges, commercial structures, and negotiation plans.

Unterstützt: Claude Codex Code(CC)

🥉 77 Bronze

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Mit meinem Agent installieren

Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.

Agent-Anfrage

Review the Skillstore skill "data-product-pricing-expert" from https://skillstore.io/skills/dhturing-data-product-pricing-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-product-pricing-expert/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Ihr Agent sollte weiterhin seinen Plan anzeigen und alle von der Sicherheitsrichtlinie verlangten Bestätigungen anfordern.

Agent-lesbare Ressourcen

Verwenden Sie diese Links, wenn ein KI-Agent, Crawler oder Skript sauberen Kontext benötigt, statt die vollständige Seite zu lesen.

Markdown-Detailseite GET /skills/dhturing-data-product-pricing-expert.md Signiertes manifest GET /api/skills/dhturing-data-product-pricing-expert/manifest Signiertes lockfile GET /api/skills/dhturing-data-product-pricing-expert/lockfile

Testen

„data-product-pricing-expert“ wird verwendet. Annual costs are CNY 240,000. Target markup is 25%. Buyer savings are CNY 4 million. Comparable offers range from CNY 280,000 to 360,000.

Erwartetes Ergebnis:

Illustrative cost floor: CNY 300,000, assuming a 25% markup on annual costs.
Value reference: CNY 400,000 at a 10% share of buyer savings.
Recommended range: CNY 320,000 to 360,000, with a CNY 400,000 anchor and CNY 300,000 floor.

„data-product-pricing-expert“ wird verwendet. The API receives seasonal traffic, updates weekly, and serves a buyer seeking low initial commitment.

Erwartetes Ergebnis:

Recommended structure: a base subscription plus tiered usage charges.
The base fee supports recurring update costs, while usage tiers align price with realized demand.
Set volume thresholds from observed usage and review them after the first contract period.

„data-product-pricing-expert“ wird verwendet. An enterprise buyer says the quote is too expensive but will not share a budget.

Erwartetes Ergebnis:

Confirm whether the concern is affordability, uncertain value, scope, or competitive comparison.
Offer a limited pilot or narrower data scope before reducing the unit price.
Trade any concession for volume, term length, prepayment, reduced support, or narrower usage rights.

Sicherheitsaudit

Sicher

v1 • 27.9.2026 Versionsbericht öffnen

All 12 static findings are false positives caused by documentation paths, Markdown backticks, ordinary website links, and dense Chinese UTF-8 text. The reviewed files contain no executable code, network requests, hidden file operations, encoded payloads, or prompt injection attempts.

Gescannte Dateien

455

Analysierte Zeilen

Prüfelemente

Falschmeldungen ignoriert

Risikofaktoren

📁 Dateisystemzugriff (2)

profile.md:38 profile.md:38

⚙️ Externe Befehle (3)

SKILL.md:20 SKILL.md:26 SKILL.md:33

🌐 Netzwerkzugriff (2)

SKILL.md:6 SKILL.md:12

Das letzte abgeschlossene statische und semantische Audit erkannte keine bestätigten Sicherheitsbefunde. Dies beweist nicht, dass der Skill keine Nebenwirkungen hat.

Geprüft von: codex

Diesen Bericht teilen & zitieren

Teile den versionierten Bewertungsbericht, das neutrale Badge, die Einbettungskarte und Zitate. Skillstore berichtet Nachweise, ohne zu entscheiden, ob dieser Skill sicher ist.

Versionsbericht öffnen

Berichtslink kopieren

https://skillstore.io/skills/dhturing-data-product-pricing-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown-Badge

[![Skillstore security assessment](https://skillstore.io/badges/skills/dhturing-data-product-pricing-expert/security.svg)](https://skillstore.io/skills/dhturing-data-product-pricing-expert?utm_source=security_passport_badge)

HTML-Badge

<a href="https://skillstore.io/skills/dhturing-data-product-pricing-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-product-pricing-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

Einbettungskarte

<iframe src="https://skillstore.io/embed/skills/dhturing-data-product-pricing-expert.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

Wissenschaftliche Zitate (APA · BibTeX · CFF)

APA-Zitat

图灵数盟. (2026). data-product-pricing-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-product-pricing-expert/audits/1

BibTeX-Zitat

@techreport{dhturing-data-product-pricing-expert-2026,
  author = {图灵数盟},
  title = {data-product-pricing-expert security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/dhturing-data-product-pricing-expert/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: "data-product-pricing-expert security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
  - name: "图灵数盟"
date-released: "2026-09-27"
url: "https://skillstore.io/skills/dhturing-data-product-pricing-expert/audits/1"
identifiers:
  - type: other
    value: "skillstore:dhturing-data-product-pricing-expert:audit:1"
    description: "Skillstore immutable audit report identifier"

Skillstore-Score

Warum dieser Score Evidenzvertrauen: Mittel

Architektur

Wartbarkeit

Inhalt

Gemeinschaft

Spezifikationskonformität

Was Sie erstellen können

Launch a Data API

Compare cost, buyer value, and market evidence before choosing a launch range and billing model.

Prepare an Enterprise Quote

Create anchor, target, and floor positions with concession rules for a complex buyer discussion.

Review an Existing Price

Assess cost, usage, customer value, and competitive changes before recommending a price adjustment.

Diese Prompts ausprobieren

Estimate a Basic Price Range

I sell [data product] to [buyer]. Costs are [costs], and expected buyer value is [value]. Estimate a price range and state assumptions.

Choose a Pricing Structure

Compare subscription, usage, tiered, and hybrid pricing for [product]. Recommend one model using [usage pattern], [update frequency], and [buyer constraints].

Build a Negotiation Plan

Build anchor, target, and floor prices for [product] using [cost], [buyer value], and [market comparables]. Add decreasing concessions and non-price tradeoffs.

Create an Advanced Pricing Memo

Create a pricing decision memo for [product] across [segments]. Apply cost, value, and market methods. Show sensitivities, compliance risks, evidence gaps, and review triggers.

Bewährte Praktiken

Label every assumption, source, unit, time period, and confidence range used in the calculation.
Validate buyer value with customer evidence before selecting a value-share percentage.
Review prices every six to twelve months and after material changes in cost, quality, demand, or regulation.

Vermeiden

Do not use marginal delivery cost alone to price a reusable data product.
Do not present a precise price when buyer value or comparable evidence is weak.
Do not offer unplanned discounts without receiving a defined commercial concession.