AGENT SKILLS · 任务装备

值得安装的 Agent Skills

汇总公开仓库中已验证的 Skills。安装前先看清它能做什么、包内包含什么、热度如何，以及来源是否可靠。

目录范围: 已验证
Skills: 22,847
仓库: 3523
最近同步: 2026年11月3日

22,847 Skills

cookie-lifetime-audit

- Auditing cookie lifetimes against regulatory recommendations and browser policies. Covers CNIL 13-month maximum recommendation, session vs persistent classification, third-party cookie phase-out impact, and Safari ITP duration caps.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

cookieless-alternatives

- Evaluating and implementing cookie-less tracking alternatives for a post-cookie era. Covers the Privacy Sandbox APIs (Topics, Attribution Reporting, Protected Audiences), server-side analytics, and privacy-preserving measurement techniques.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

coppa-compliance

- Implements Children's Online Privacy Protection Act (COPPA) compliance under 16 CFR Part 312. Covers verifiable parental consent methods including signed forms, credit card verification, government ID, knowledge-based authentication, and video call. Includes FTC safe harbor programs and enforcement actions. Keywords: COPPA, FTC, children, parental consent, safe harbor, verifiable consent.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

cpra-opt-out-signals

- Implements CPRA Section 1798.135 opt-out preference signal handling, covering Global Privacy Control (GPC) technical detection, automated signal honoring, cross-device consistency, and the relationship between browser signals and explicit consumer choices. Activate for GPC, opt-out preference signal, CPRA 1798.135, browser privacy signal, Do Not Sell queries.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

cpra-sensitive-pi

- CPRA §1798.121 sensitive personal information restrictions and compliance. Covers all 9 sensitive PI categories including SSN, precise geolocation, racial/ethnic origin, biometric, genetic, health, and sex life data. Right to limit use/disclosure, permitted purposes, and implementation.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

criminal-data-handling

- Handles GDPR Art. 10 criminal conviction and offence data classification including official authority requirements, national law derogations, and comprehensive register restrictions. Covers controller obligations for criminal background checks and offence records. Keywords: criminal data, Art 10, conviction data, offence records, criminal background, DBS check.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

cross-jurisdiction-class

- Harmonises data classification across jurisdictions mapping GDPR special categories vs CCPA sensitive PI (1798.140(ae)) vs HIPAA PHI (160.103) vs LGPD sensitive data (Art. 5-II). Provides cross-regulation mapping matrix for multinational compliance. Keywords: cross-jurisdiction, GDPR, CCPA, HIPAA, LGPD, sensitive data, multinational, classification mapping.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

cross-jurisdiction-cookies

- Implementing cookie compliance across multiple jurisdictions including EU ePrivacy Directive, UK PECR, US California CCPA/CPRA opt-out model, and Brazil LGPD. Provides a requirements matrix and geolocation-based implementation approach.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

data-flow-mapping

- Guides systematic mapping of international personal data flows across an organisation. Covers system-by-system inventory methodology, third-party identification, transfer mechanism assignment, gap analysis, and data flow visualisation. Keywords: data flow mapping, international transfers, data inventory, transfer register, cross-border data flows.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

data-inventory-mapping

- Builds comprehensive data inventory per GDPR Art. 30 Records of Processing Activities. Covers system-by-system discovery, data flow diagramming, third-party identification, and legal basis per category. Keywords: data inventory, data mapping, Art 30, RoPA, data flow, processing activities.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

data-labeling-system

- Implements data classification labels and tagging systems including metadata tagging, DLP integration, automated label propagation, user-applied labels, and label inheritance rules. Covers Microsoft Purview sensitivity labels and enterprise labeling architecture. Keywords: data labeling, sensitivity labels, metadata tagging, DLP integration, label propagation, Purview, classification.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

data-lineage-tracking

- Implements data lineage tracking for privacy compliance including origin tracking, transformation logging, access auditing, deletion verification, and cross-system lineage graphs. Covers source-to-sink mapping, GDPR Art. 30 RoPA integration, automated lineage discovery, and breach impact scoping. Keywords: data lineage, data provenance, data flow mapping, transformation logging, deletion verification.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

data-localization

- Guides compliance with country-specific data localization requirements across key jurisdictions including Russia (242-FZ), China (PIPL Art. 40, CAC measures), India (DPDP Act), Turkey, Vietnam, and Indonesia. Covers localization assessment, architecture design, and exemption procedures. Keywords: data localization, data residency, PIPL, 242-FZ, cross-border restrictions.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

data-portability

- Executes GDPR Article 20 data portability requests, covering machine-readable format requirements (JSON, CSV, XML), direct controller-to-controller transfer mechanisms, and scope limitations to data provided by the subject on consent or contract basis. Activate for portability, data export, Art. 20, data transfer queries.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

delaware-dppa

- Delaware Personal Data Privacy Act (DPPA) compliance implementation. Covers consumer rights (access, correct, delete, portability, opt-out), controller obligations, processor requirements, sensitive data consent, universal opt-out recognition, DPIA requirements, and AG enforcement. Effective January 1, 2025, with no revenue threshold for applicability.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

designing-federated-learning-architecture

- Architecture guide for GDPR-compliant federated learning systems. Covers horizontal and vertical FL, aggregation strategies (FedAvg, FedProx), communication efficiency, secure aggregation, and differential privacy integration. Includes privacy guarantees analysis and deployment patterns for cross-organizational ML without data sharing.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

designing-privacy-preserving-analytics

- Design privacy-preserving analytics systems using differential privacy, k-anonymity, l-diversity, and t-closeness. Covers privacy budget allocation with epsilon tracking, references Google DP library, OpenDP, and Apple PPML. Includes Python differential privacy implementation for GDPR-compliant statistical analysis.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

differential-privacy-prod

- Deploy differential privacy in production systems including epsilon selection strategies, noise calibration with Laplace and Gaussian mechanisms, privacy budget tracking, composition theorems, and Python implementation patterns. Covers both central and local differential privacy models.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

direct-collection-notice

- Provides GDPR Article 13 information at the point of direct data collection, covering all required elements under Art. 13(1)(a)-(f) and Art. 13(2)(a)-(g), layered notice design, and timing requirements. Activate for Art. 13, direct collection notice, privacy notice at collection, data collection information queries.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

double-opt-in-email

- Implementation guide for ePrivacy Directive compliant double opt-in email consent. Covers confirmation email workflow design, token expiration handling, record-keeping requirements, suppression list management, and integration with CAN-SPAM Act and CASL requirements for multi-jurisdiction compliance.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

dpa-drafting

- GDPR-compliant Data Processing Agreement drafting per Article 28(3). Covers all 8 mandatory provisions including subject matter, duration, nature and purpose, data types, categories of data subjects, controller and processor obligations, and sub-processor cascade requirements.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

dpa-inspection-prep

- Guides preparation for supervisory authority (DPA) inspections and investigations including document readiness checklists, interview preparation for key personnel, technical demonstration procedures, on-site logistics, response protocols, and post-inspection follow-up. Covers unannounced inspections, formal audits, and complaint-triggered investigations. Keywords: DPA inspection, supervisory authority, investigation, readiness, interview preparation, response protocol.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

dpia-automated-decisions

- Conducts a Data Protection Impact Assessment for automated decision-making and profiling systems under GDPR Article 35(3)(a), covering algorithmic transparency, meaningful human oversight, contestation mechanisms, and Art. 22 safeguards. Activate for DPIA automated decision, profiling DPIA, algorithmic impact assessment, Art. 35(3)(a), ADM risk assessment queries.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

dpia-biometric-systems

- Conducts Data Protection Impact Assessments for biometric identification and authentication systems under GDPR Article 35 and Article 9 special category rules. Covers facial recognition, fingerprint, iris scanning, voice recognition, and behavioural biometrics. Applies EDPB Guidelines 3/2019, CNIL Reglement Type Biometrie, and ISO/IEC 24745 biometric template protection. Keywords: DPIA biometric, facial recognition, fingerprint, Art. 35, Art. 9, biometric template, special category.

1小时安装量: 1
GitHub Stars: 295
最近更新: 3月16日

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