C15t
c15t/c15t
Work with c15t consent management docs, APIs, and integrations for Next.js, React, and JavaScript.
Conducts Data Protection Impact Assessments for employee monitoring systems per EDPB Guidelines 3/2019 on workplace data processing.
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill employee-monitoring-dpia -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills employee-monitoring-dpia --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/privacy/employee-monitoring-dpia .claude/skills/employee-monitoring-dpia && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "employee-monitoring-dpia" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/employee-monitoring-dpia into .claude/skills/employee-monitoring-dpia/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "employee-monitoring-dpia", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/employee-monitoring-dpiaType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill employee-monitoring-dpia -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills employee-monitoring-dpia --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/privacy/employee-monitoring-dpia .agents/skills/employee-monitoring-dpia && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "employee-monitoring-dpia" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/employee-monitoring-dpia into .agents/skills/employee-monitoring-dpia/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "employee-monitoring-dpia", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill employee-monitoring-dpia -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills employee-monitoring-dpia --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/privacy/employee-monitoring-dpia .cursor/skills/employee-monitoring-dpia && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "employee-monitoring-dpia" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/employee-monitoring-dpia into .cursor/skills/employee-monitoring-dpia/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "employee-monitoring-dpia", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mukul975/Privacy-Data-Protection-Skills.git --path skills/privacy/employee-monitoring-dpia--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill employee-monitoring-dpia -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills employee-monitoring-dpia --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/privacy/employee-monitoring-dpia .gemini/skills/employee-monitoring-dpia && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "employee-monitoring-dpia" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/employee-monitoring-dpia into .gemini/skills/employee-monitoring-dpia/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "employee-monitoring-dpia", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mukul975/Privacy-Data-Protection-Skills employee-monitoring-dpiaInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill employee-monitoring-dpia -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/privacy/employee-monitoring-dpia .github/skills/employee-monitoring-dpia && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "employee-monitoring-dpia" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/employee-monitoring-dpia into .github/skills/employee-monitoring-dpia/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "employee-monitoring-dpia", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill employee-monitoring-dpia -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills employee-monitoring-dpia --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/privacy/employee-monitoring-dpia .opencode/skills/employee-monitoring-dpia && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "employee-monitoring-dpia" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/employee-monitoring-dpia into .opencode/skills/employee-monitoring-dpia/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "employee-monitoring-dpia", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
employee-monitoring-dpiaConducts Data Protection Impact Assessments for employee monitoring systems per EDPB Guidelines 3/2019 on workplace data processing.
Employee Monitoring Dpia is an agent skill from mukul975/Privacy-Data-Protection-Skills. Conducts Data Protection Impact Assessments for employee monitoring systems per EDPB Guidelines 3/2019 on workplace data processing. Covers video surveillance, email monitoring, GPS tracking, keystroke logging, and productivity tools. Applies proportionality testing under Art. 35 GDPR. Keywords: DPIA, employee monitoring, surveillance, proportionality, EDPB, workplace privacy, keystroke logging, GPS tracking.
Its SKILL.md is about 4.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/standards.md` and `references/workflows.md`).
It sits in Legal & Compliance, covering Privacy and GDPR. The repository describes itself as: 282+ structured privacy & data protection skills for AI agents. GDPR, CCPA, EU AI Act, HIPAA, LGPD, PIPL, DPDP Act. The licence is Apache-2.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 9b2ef9e. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Employee Monitoring Dpia loads about 4.8k tokens when it runs, and up to ~7.6k if it reads all its reference files. Until then it costs about 109 tokens; SKILL.md has 2,328 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from mukul975/Privacy-Data-Protection-Skills at commit 9b2ef9e, republished under its Apache-2.0 licence (© mukul975). 2,328 words, ~4,821 tokens.
.claude/skills/employee-monitoring-dpia/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Employee monitoring represents one of the highest-risk processing activities under GDPR because it combines multiple EDPB WP248rev.01 risk factors: systematic monitoring (criterion 3), data concerning vulnerable data subjects — employees are explicitly classified as vulnerable due to the inherent power imbalance in the employment relationship (criterion 7), and often innovative technology (criterion 8). The European Data Protection Board's Guidelines 3/2019 on processing of personal data through video devices and the Article 29 Working Party's Opinion 2/2017 on data processing at work establish that any employee monitoring system requires a DPIA under Art. 35(1) GDPR before deployment.
This skill provides a structured DPIA methodology tailored specifically to employee monitoring scenarios, incorporating the proportionality framework from Barbulescu v Romania (Grand Chamber, ECHR, Application No. 61496/08, 5 September 2017) and national supervisory authority guidance from the CNIL, ICO, and German Federal Commissioner for Data Protection.
Employee monitoring meets at least three of the nine EDPB WP248rev.01 criteria:
| Criterion | Applicability to Employee Monitoring |
|---|---|
| Criterion 3: Systematic monitoring | All forms of employee monitoring constitute systematic observation of individuals in the workplace |
| Criterion 7: Vulnerable data subjects | Employees are explicitly listed as vulnerable data subjects by the EDPB due to the power imbalance inherent in the employment relationship |
| Criterion 5: Large-scale processing | Enterprise monitoring systems typically process data about all employees continuously |
| Criterion 8: Innovative technology | AI-powered productivity tools, keystroke dynamics, screen capture, and behavioural analytics involve novel technologies |
| Criterion 1: Evaluation or scoring | Monitoring data used for performance evaluation constitutes scoring of individuals |
Meeting two or more criteria triggers a presumptive DPIA requirement. Employee monitoring typically meets three to five, making a DPIA mandatory in virtually all cases.
Description: Fixed or mobile camera systems recording visual images of employees in the workplace.
Applicable EDPB Guidance: Guidelines 3/2019 on processing of personal data through video devices, Section 8 (Processing in the employment context).
Legal Basis Analysis:
Proportionality Requirements:
Atlas Manufacturing Group Example: Atlas Manufacturing Group operates 14 CCTV cameras across its production facility. The DPIA identified that 3 cameras positioned in the staff canteen were disproportionate to the stated security purpose. The DPIA recommended removal of canteen cameras and retention reduction from 30 days to 72 hours for all remaining cameras, with exception procedures for documented security incidents.
Description: Systems that log, scan, or analyse employee email communications and internet browsing activity.
Legal Basis Analysis:
Proportionality Requirements per Barbulescu v Romania (Grand Chamber): The ECHR Grand Chamber established six criteria that must be satisfied:
Risk Assessment Specific Factors:
Description: Vehicle tracking systems, mobile device location monitoring, and geofencing for field employees.
Legal Basis Analysis:
Proportionality Requirements:
Atlas Manufacturing Group Example: Atlas Manufacturing Group implemented GPS tracking on 23 delivery vehicles. The DPIA identified that real-time tracking was active 24/7 despite drivers being permitted limited personal vehicle use. The DPIA required implementation of a "personal use" toggle on the vehicle dashboard that suspends tracking and notifies fleet management that the vehicle is in personal use mode.
Description: Software that records individual keystrokes, takes periodic or triggered screenshots, and monitors application usage.
Risk Classification: Very High — this is the most intrusive form of employee monitoring.
Legal Basis Analysis:
Proportionality Requirements:
Supervisory Authority Enforcement:
Description: Software platforms that aggregate data from multiple sources (email, calendar, application usage, badge swipes, collaboration tools) to generate productivity scores and behavioural profiles.
Risk Classification: Very High — combines evaluation/scoring with systematic monitoring and innovative technology.
Legal Basis Analysis:
Proportionality Requirements:
Document the following for each monitoring system:
| Element | Details Required |
|---|---|
| Data categories | Precisely what data is collected (e.g., email metadata, email content, URLs visited, keystrokes, screenshots, GPS coordinates, video images) |
| Data subjects | All employees, specific departments, specific roles, contractors, visitors |
| Volume | Number of employees monitored, frequency of data collection, daily data volume |
| Retention | How long monitoring data is stored, deletion procedures, archive policies |
| Access | Who can access raw monitoring data, who can access reports/dashboards, role-based access controls |
| Recipients | Internal recipients (HR, line managers, IT security), external recipients (monitoring software vendor, cloud hosting provider) |
| Transfers | Whether monitoring data is transferred outside the EEA (common with US-based SaaS monitoring tools) |
| Legal basis | Specific Art. 6(1) basis and, where applicable, Art. 9(2) condition |
Apply the following proportionality test for each monitoring measure:
Step 1 — Legitimate aim: What specific, documented objective does the monitoring serve? (Security, fraud prevention, regulatory compliance, productivity management, health and safety)
Step 2 — Necessity: Is monitoring necessary to achieve the objective, or can the objective be achieved through less intrusive means?
| Monitoring Measure | Less Intrusive Alternative |
|---|---|
| Continuous video surveillance | Motion-activated recording, access control logs |
| Email content scanning | Metadata analysis, data loss prevention rules on attachments only |
| Keystroke logging | Application usage logging, output-based performance measurement |
| Real-time GPS tracking | Route completion verification, periodic check-ins |
| Continuous screen capture | Active window logging, time-tracking software with manual entries |
| Behavioural analytics scoring | Regular supervisor reviews, objective output metrics |
Step 3 — Proportionality: Even if necessary, is the monitoring proportionate to the aim? Apply the Barbulescu six-factor test.
Step 4 — Safeguards: What measures mitigate the impact on employees? (Transparency, access rights, retention limits, data minimisation, grievance procedures)
Assess risks specific to employee monitoring:
| Risk | Likelihood | Severity | Inherent Risk |
|---|---|---|---|
| Chilling effect on legitimate workplace communication and trade union activity | Likely | Significant | High |
| Disproportionate surveillance creating hostile work environment | Possible | Significant | High |
| Monitoring data used for discriminatory employment decisions | Possible | Maximum | High |
| Unauthorised access to monitoring data by line managers | Likely | Limited | Medium |
| Function creep: monitoring data used for purposes beyond original justification | Likely | Significant | High |
| Cross-border transfer of monitoring data to non-adequate jurisdictions | Possible | Significant | High |
| Employee inability to exercise DSAR rights over monitoring data | Possible | Significant | High |
| Capture of privileged communications (legal, medical, union) | Possible | Maximum | Very High |
For each identified risk, document specific technical and organisational measures:
Technical Measures:
Organisational Measures:
Employee monitoring DPIAs must be reviewed:
| Authority | Case | Fine/Outcome | Relevance |
|---|---|---|---|
| CNIL (France) | SAN-2021-003 | EUR 20,000 | Keystroke logging deployed without DPIA or transparency |
| Garante (Italy) | Provvedimento 9834141, 2022 | Processing prohibited | Continuous screen capture ruled disproportionate |
| AEPD (Spain) | PS/00120/2021 | EUR 60,000 | GPS tracking of employee vehicles outside working hours |
| Datainspektionen (Sweden) | DI-2020-11370 | SEK 300,000 | Facial recognition for employee time tracking without valid consent or DPIA |
| Hellenic DPA (Greece) | Decision 26/2019 | EUR 150,000 | Continuous employee CCTV monitoring without proportionality assessment |
| ICO (UK) | ENF/2021/00352 | Enforcement notice | Employer required to cease covert monitoring of employee personal devices |
© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (scripts, references, assets) in skills/privacy/employee-monitoring-dpia of mukul975/Privacy-Data-Protection-Skills.
Open the folder on GitHubat commit 9b2ef9e
Employee Monitoring Dpia next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Employee Monitoring Dpia this skillmukul975/Privacy-Data-Protection-Skills | 301 | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | |
| C15tc15t/c15t | 1.9k | 1 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| HIPAA Safe Harbor Coverage Auditmaziyarpanahi/openmed | 5.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Korean Privacy Termskimlawtech/korean-privacy-terms | 587 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Gdpr ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance | 946 | 1 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Hipaa ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance | 946 | 1 repos | ~2.3k | Automated safety check: Pass | MIT |
c15t/c15t
Work with c15t consent management docs, APIs, and integrations for Next.js, React, and JavaScript.
maziyarpanahi/openmed
Checks OpenMed de-identified clinical text against the 18 HIPAA Safe Harbor identifier categories and reports gaps and residual re-identification risk.
kimlawtech/korean-privacy-terms
처리방침·이용약관 자동 생성 스킬 패키지 (v4.0). An agent skill from kimlawtech/korean-privacy-terms.
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert GDPR compliance assistant covering all four core workflows: (1) auditing code and systems for GDPR violations, (2) drafting GDPR-compliant documents such as privacy policies, Data Processing…
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert HIPAA compliance assistant for healthcare and software contexts.
gregmos/PII-Shield
Universal legal document processor with PII anonymization. An agent skill from gregmos/PII-Shield.
mukul975/Privacy-Data-Protection-Skills
Implements age-gating mechanisms for online services to restrict access based on user age.
mukul975/Privacy-Data-Protection-Skills
Manages AI model retention and machine unlearning requirements.
mukul975/Privacy-Data-Protection-Skills
Conducts Data Protection Impact Assessments for AI and ML systems per EDPB Guidelines 04/2025 on AI processing.
mukul975/Privacy-Data-Protection-Skills
Structures risk mitigation planning and residual risk tracking for Data Protection Impact Assessments under GDPR Article 35(7)(d).
mukul975/Privacy-Data-Protection-Skills
Guides implementation of the GDPR accountability principle under Articles 5(2) and 24, including documentation requirements for policies, DPIAs, RoPA, training records, and breach logs.
mukul975/Privacy-Data-Protection-Skills
Conducts pre-DPIA threshold screening to determine whether a full Data Protection Impact Assessment is required under GDPR Article 35.
Categories
Conducts Data Protection Impact Assessments for employee monitoring systems per EDPB Guidelines 3/2019 on workplace data processing. Employee Monitoring Dpia is an agent skill from mukul975/Privacy-Data-Protection-Skills. Conducts Data Protection Impact Assessments for employee monitoring systems per EDPB Guidelines 3/2019 on workplace data processing.
Employee Monitoring Dpia fits situations like: tasks that involve Privacy and GDPR.
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill employee-monitoring-dpia -a claude-code`. Or copy the skill folder (skills/privacy/employee-monitoring-dpia in mukul975/Privacy-Data-Protection-Skills) into .claude/skills/employee-monitoring-dpia in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill employee-monitoring-dpia -a codex`. Or copy the skill folder (skills/privacy/employee-monitoring-dpia in mukul975/Privacy-Data-Protection-Skills) into .agents/skills/employee-monitoring-dpia in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill employee-monitoring-dpia -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/employee-monitoring-dpia, .gemini/skills/employee-monitoring-dpia, .github/skills/employee-monitoring-dpia and .opencode/skills/employee-monitoring-dpia in your project.
Going by SKILL.md and its folder, Employee Monitoring Dpia needs Python for the scripts in its folder. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Employee Monitoring Dpia is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.8k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Employee Monitoring Dpia: C15t (c15t/c15t, 1.9k stars), HIPAA Safe Harbor Coverage Audit (maziyarpanahi/openmed, 5.5k stars), Korean Privacy Terms (kimlawtech/korean-privacy-terms, 587 stars) and Gdpr Compliance (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mukul975 (a GitHub user) maintains it in mukul975/Privacy-Data-Protection-Skills, which has 301 GitHub stars. The repository holds 280 skills in this directory. The repository was last updated on March 16, 2026.
Source: mukul975/Privacy-Data-Protection-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.