Compétences data-product-pricing-expert

📦

data-product-pricing-expert

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

Révision du contenu r1 Sûr 📁 Accès au système de fichiers⚙️ Commandes externes🌐 Accès réseau

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.

Prend en charge: Claude Codex Code(CC)

🥉 77 Bronze

Maintain this Skill? Claim it 🥉 77 Bronze

Installer avec mon Agent

Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.

Demande d’agent

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.

Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.

Ressources lisibles par les agents

Utilisez ces liens lorsqu’un Agent IA, un crawler ou un script a besoin d’un contexte propre au lieu de lire toute la page.

Détail Markdown GET /skills/dhturing-data-product-pricing-expert.md manifest signé GET /api/skills/dhturing-data-product-pricing-expert/manifest lockfile signé GET /api/skills/dhturing-data-product-pricing-expert/lockfile

Tester

Utilisation de « data-product-pricing-expert ». 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.

Résultat attendu:

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.

Utilisation de « data-product-pricing-expert ». The API receives seasonal traffic, updates weekly, and serves a buyer seeking low initial commitment.

Résultat attendu:

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.

Utilisation de « data-product-pricing-expert ». An enterprise buyer says the quote is too expensive but will not share a budget.

Résultat attendu:

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.

Audit de sécurité

Sûr

v1 • 27/09/2026 Ouvrir le rapport versionné

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.

Fichiers analysés

455

Lignes analysées

Éléments à examiner

Faux positifs ignorés

Facteurs de risque

📁 Accès au système de fichiers (2)

profile.md:38 profile.md:38

⚙️ Commandes externes (3)

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

🌐 Accès réseau (2)

SKILL.md:6 SKILL.md:12

Le dernier audit statique et sémantique terminé n’a détecté aucun constat de sécurité confirmé. Cela ne prouve pas que le skill est sans effets secondaires.

Audité par: codex

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Partagez le rapport d’évaluation versionné, le badge neutre, la carte intégrable et les citations. Skillstore présente les preuves sans décider si ce Skill est sûr.

Ouvrir le rapport versionné

Copier le lien du rapport

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

Badge Markdown

[![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)

Badge HTML

<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>

Carte intégrable

<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>

Citations académiques (APA · BibTeX · CFF)

Citation APA

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

Citation BibTeX

@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"

Score Skillstore

Pourquoi ce score Niveau de confiance des preuves: Moyen

Architecture

Maintenabilité

Contenu

Communauté

Conformité aux spécifications

Ce que vous pouvez créer

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.

Essayez ces prompts

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.

Bonnes pratiques

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.

Éviter

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.