Build a Data Supply-Demand Matching System
Unstructured demand and resource records make reliable matching slow and inconsistent. This skill provides database designs, matching states, operating procedures, and review checks.
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Review the Skillstore skill "data-supply-demand-matching-expert" from https://skillstore.io/skills/dhturing-data-supply-demand-matching-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-supply-demand-matching-expert/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
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Using "data-supply-demand-matching-expert". A hospital needs monthly regional disease statistics within six weeks. The budget and decision owner are unknown.
Expected outcome:
Demand status: incomplete. The buyer and purpose are identifiable, but budget and decision authority need confirmation before matching. Ask who approves procurement, the budget range, required fields, geographic scope, permitted uses, and privacy constraints.
Using "data-supply-demand-matching-expert". A buyer needs a combined mobility and retail dataset. Separate compliant sources are available, but no combined product exists.
Expected outcome:
Matching state: C, combined match. Confirm each source's ownership and tradability, define join keys and permitted processing, assess privacy risk, estimate integration work, and record supplier responsibilities before introduction.
Using "data-supply-demand-matching-expert". Review a database with 140 demand records, many duplicates, and no update history.
Expected outcome:
All 12 static findings are false positives caused by documented installation paths, Markdown backticks, attribution URLs, and high-entropy Chinese prose. The reviewed files contain no executable scripts, automatic network requests, encoded payloads, or prompt injection instructions.
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https://skillstore.io/skills/dhturing-data-supply-demand-matching-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/dhturing-data-supply-demand-matching-expert?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/dhturing-data-supply-demand-matching-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-supply-demand-matching-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/dhturing-data-supply-demand-matching-expert.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>图灵数盟. (2026). data-supply-demand-matching-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-supply-demand-matching-expert/audits/1@techreport{dhturing-data-supply-demand-matching-expert-2026,
author = {图灵数盟},
title = {data-supply-demand-matching-expert security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-data-supply-demand-matching-expert/audits/1},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "data-supply-demand-matching-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-supply-demand-matching-expert/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-data-supply-demand-matching-expert:audit:1"
description: "Skillstore immutable audit report identifier"
Define three connected databases, practical fields, tags, and an operating sequence for a new matching program.
Check demand completeness, assign a matching state, and identify the next action and missing evidence.
Analyze unmatched demand and stale records to prioritize resource acquisition and database maintenance.
Review this demand record: [record]. Check buyer identity, purpose, budget, timing, and decision chain. List missing fields and propose clarifying questions.
Design resource, demand, and expert databases for [organization]. Provide fields, definitions, required status, tags, update owners, and maintenance frequency.
Compare this demand [details] with these resources [details]. Assign matching state A-E, explain evidence, identify compliance gates, and create an action plan.
Audit these demand, resource, expert, and outcome records: [records]. Measure coverage, precision, outcomes, aging, and gaps. Recommend quarterly priorities with assumptions.
Author
图灵数盟License
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
Maintenance freshness
9/30/2026
Usage
0 downloads · 0 views
File structure
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