Skills data-agent-platform-expert

📦

data-agent-platform-expert

Name: data-agent-platform-expert
Author: 图灵数盟

Content revision r1 Safe 📁 Filesystem access⚙️ External commands🌐 Network access

Design Data Agent Platforms

Organizations struggle to convert specialist data knowledge into reliable agent systems. This skill provides structured methods for requirements, capabilities, workflows, controls, and evaluation.

Supports: Claude Codex Code(CC)

🥉 77 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

Review the Skillstore skill "data-agent-platform-expert" from https://skillstore.io/skills/dhturing-data-agent-platform-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-agent-platform-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.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/dhturing-data-agent-platform-expert.md Signed manifest GET /api/skills/dhturing-data-agent-platform-expert/manifest Signed lockfile GET /api/skills/dhturing-data-agent-platform-expert/lockfile

Test it

Using "data-agent-platform-expert". Design requirements for a data inventory agent used by enterprise data teams.

Expected outcome:

Priority: inventory ingestion, classification, quality checks, and review queues.
Human checkpoint: approve classifications and exceptions before publication.
Controls: authorization, data isolation, audit logs, and versioned rules.
Metrics: review acceptance, completion time, exception rate, and cost per inventory.

Using "data-agent-platform-expert". Plan how to convert expert documents into an agent knowledge base.

Expected outcome:

Separate policy facts, decision rules, procedures, templates, and examples.
Attach source, owner, effective date, jurisdiction, and review status.
Test retrieval coverage and require evidence citations in generated drafts.

Using "data-agent-platform-expert". Define boundaries for an automated data asset assessment workflow.

Expected outcome:

The agent may prepare evidence summaries and draft assessments. Qualified reviewers must approve valuations, legal conclusions, and final customer deliverables.

Security Audit

Safe

v1 • 9/27/2026 Open versioned report

All 12 static findings are false positives caused by documentation syntax, author links, readable Chinese text, or installation examples. No executable commands, hidden-file operations, encoded payloads, prompt injection, or other intent-level security risks were found.

Files scanned

467

Lines analyzed

Review items

False positives ignored

Risk Factors

📁 Filesystem access (2)

profile.md:38 profile.md:38

⚙️ External commands (3)

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

🌐 Network access (2)

SKILL.md:6 SKILL.md:12

No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.

Audited by: codex

Share & cite this report

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Open versioned report

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

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Academic citations (APA · BibTeX · CFF)

APA citation

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

BibTeX citation

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

Skillstore Score

Why this score Evidence Confidence: Medium

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

Plan a Data Agent Platform

Create prioritized requirements, modules, delivery phases, and governance controls for a new platform.

Structure Expert Knowledge

Convert specialist documents into searchable knowledge entries, decision rules, and reusable templates.

Review Agent Controls

Define capability boundaries, human checkpoints, security requirements, audit evidence, and operating metrics.

Try These Prompts

Identify Platform Requirements

Review [business goal] and [user needs]. List platform requirements, priorities, assumptions, and required human decisions.

Structure a Knowledge Collection

Transform [document set] into knowledge entries, rules, templates, metadata, and an update process. Flag missing evidence.

Design an Agent Workflow

Design a workflow for [task]. Define inputs, reasoning stages, tool calls, outputs, controls, and human intervention points.

Create a Platform Delivery Plan

Create a phased plan for [platform]. Cover architecture, integrations, security, compliance, evidence, testing, operations, metrics, dependencies, and risks.

Best Practices

Provide business goals, target users, source documents, constraints, and required deliverables.
Verify every policy, cost, schedule, and compliance claim against current authoritative sources.
Keep human approval points for regulated decisions, exceptions, and final deliverables.

Avoid

Do not treat generated drafts as legal, valuation, or regulatory opinions.
Do not automate workflows before defining permissions, evidence, boundaries, and review ownership.
Do not estimate platform cost or duration without scope, integration, security, and staffing details.