Pii Contract Analyze
gregmos/PII-Shield
Universal legal document processor with PII anonymization. An agent skill from gregmos/PII-Shield.
Implements email and internet monitoring compliance in the workplace per Barbulescu v Romania (ECHR Grand Chamber), EDPB guidance, and national labour law.
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill workplace-email-privacy -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills workplace-email-privacy --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/workplace-email-privacy .claude/skills/workplace-email-privacy && 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 "workplace-email-privacy" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/workplace-email-privacy into .claude/skills/workplace-email-privacy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workplace-email-privacy", 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/workplace-email-privacyType 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 workplace-email-privacy -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills workplace-email-privacy --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/workplace-email-privacy .agents/skills/workplace-email-privacy && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "workplace-email-privacy" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/workplace-email-privacy into .agents/skills/workplace-email-privacy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workplace-email-privacy", 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 workplace-email-privacy -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills workplace-email-privacy --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/workplace-email-privacy .cursor/skills/workplace-email-privacy && 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 "workplace-email-privacy" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/workplace-email-privacy into .cursor/skills/workplace-email-privacy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workplace-email-privacy", 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/workplace-email-privacy--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 workplace-email-privacy -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills workplace-email-privacy --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/workplace-email-privacy .gemini/skills/workplace-email-privacy && 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 "workplace-email-privacy" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/workplace-email-privacy into .gemini/skills/workplace-email-privacy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workplace-email-privacy", 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 workplace-email-privacyInstalls 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 workplace-email-privacy -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/workplace-email-privacy .github/skills/workplace-email-privacy && 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 "workplace-email-privacy" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/workplace-email-privacy into .github/skills/workplace-email-privacy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workplace-email-privacy", 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 workplace-email-privacy -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 workplace-email-privacy --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/workplace-email-privacy .opencode/skills/workplace-email-privacy && 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 "workplace-email-privacy" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/workplace-email-privacy into .opencode/skills/workplace-email-privacy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workplace-email-privacy", 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.
workplace-email-privacyImplements email and internet monitoring compliance in the workplace per Barbulescu v Romania (ECHR Grand Chamber), EDPB guidance, and national labour law.
Workplace Email Privacy is an agent skill from mukul975/Privacy-Data-Protection-Skills. Implements email and internet monitoring compliance in the workplace per Barbulescu v Romania (ECHR Grand Chamber), EDPB guidance, and national labour law. Covers acceptable use policies, legitimate expectation of privacy, proportionality testing, and content vs metadata monitoring. Keywords: email monitoring, Barbulescu, workplace privacy, internet monitoring, acceptable use policy, ECHR, proportionality.
Its SKILL.md is about 4.4k 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 Policy and terms drafting and 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.
Workplace Email Privacy loads about 4.4k tokens when it runs, and up to ~6.9k if it reads all its reference files. Until then it costs about 108 tokens; SKILL.md has 2,156 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). 2,156 words, ~4,432 tokens.
.claude/skills/workplace-email-privacy/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Workplace email and internet monitoring sits at the intersection of employer legitimate interests and employee fundamental rights to privacy and correspondence under Art. 8 of the European Convention on Human Rights (ECHR), Art. 7 of the EU Charter of Fundamental Rights, and the GDPR. The landmark Grand Chamber judgment in Barbulescu v Romania (Application No. 61496/08, 5 September 2017) established a six-factor proportionality test that all European employers must satisfy before monitoring employee electronic communications. This skill provides a compliance framework for implementing email and internet monitoring that respects these legal boundaries.
Art. 8(1): "Everyone has the right to respect for his private life, family life, his home and his correspondence."
Art. 8(2): Interference is permitted only where it is "in accordance with the law," pursues a "legitimate aim," and is "necessary in a democratic society."
The ECHR has consistently held that "correspondence" includes electronic communications sent from the workplace, and that "private life" encompasses activities in the professional context (Niemietz v Germany, Application No. 13710/88, 1992).
The Grand Chamber overturned the Chamber's earlier judgment and established that States have a positive obligation to ensure that domestic law provides adequate protection for employees' Art. 8 rights in the workplace monitoring context. The Court articulated six factors that national courts and employers must consider:
Factor 1: Prior Notification Has the employee been notified in advance of the nature and extent of monitoring? The notification must be clear, specific, and provided before monitoring begins. A general statement that "communications may be monitored" is insufficient — the employee must understand what is monitored (content, metadata, or both), when monitoring occurs, and who has access to the results.
Factor 2: Extent of Monitoring and Degree of Intrusion What is the scope of the monitoring? Content monitoring (reading the actual text of communications) is significantly more intrusive than metadata monitoring (sender, recipient, time, subject line). Real-time monitoring is more intrusive than retrospective review. Continuous monitoring is more intrusive than targeted, incident-based monitoring.
Factor 3: Legitimate Reasons Does the employer have legitimate reasons to justify the monitoring and access to the actual content of communications? Legitimate reasons include: preventing data leakage, enforcing information security policies, investigating specific misconduct, complying with regulatory obligations (financial services), and protecting trade secrets.
Factor 4: Less Intrusive Alternatives Could the employer's aims be achieved through less intrusive methods? This is the proportionality requirement — if monitoring email metadata would suffice, monitoring content is unjustified. If automated keyword scanning detects policy violations, human review of content is disproportionate.
Factor 5: Consequences for the Employee What are the consequences of the monitoring for the employee subjected to it? If monitoring data can lead to disciplinary action or dismissal, the intrusion is more severe and requires stronger justification. The Court found that in Barbulescu's case, the monitoring directly led to his dismissal, making the intrusion particularly severe.
Factor 6: Adequate Safeguards Has the employee been provided with adequate safeguards, particularly when the monitoring is intrusive? Safeguards include: limitation on who can access monitoring data, prohibition on monitoring privileged communications, right to be informed of monitoring results, right to challenge monitoring decisions, time limits on data retention, and independent oversight.
The Court held that files clearly marked as "personal" on an employee's work computer could not be opened by the employer without the employee being present or having been duly summoned, unless there was a "serious risk" to the company.
Covert video surveillance of an employee suspected of theft was held to be justified, but only because: (a) there was a concrete suspicion, (b) the surveillance was limited in time and scope, (c) there were no less intrusive alternatives to detect the theft, and (d) the footage was used only for the specific investigation.
What is captured: Sender address, recipient address(es), timestamp, subject line, attachment names and sizes, email volume per employee.
Intrusiveness level: Low to Medium.
Typical legitimate purposes: Information security (detecting unusual data transfer patterns), capacity management, regulatory compliance (financial services communications monitoring).
Compliance requirements:
What is captured: Full text of email messages, attachments.
Intrusiveness level: High.
Typical legitimate purposes: Data loss prevention (DLP), regulatory compliance (financial services), investigation of specific alleged misconduct.
Compliance requirements:
Atlas Manufacturing Group Example: Atlas implemented Microsoft Purview DLP policies scanning outbound emails for patterns matching customer credit card numbers, employee national insurance numbers, and files classified as "Confidential." The DLP system flags matching emails for review by the Information Security Manager. The employee's line manager is not notified unless a confirmed policy violation is escalated through HR. Atlas's acceptable use policy explicitly states that outbound emails are subject to automated content scanning for data protection purposes.
What is captured: URLs visited, browsing duration, bandwidth consumption, download activity.
Intrusiveness level: Medium to High (browsing history can reveal sensitive information about health, political views, religion, sexual orientation).
Typical legitimate purposes: IT security (preventing malware), bandwidth management, enforcement of acceptable use policies, preventing access to illegal content.
Compliance requirements:
What is captured: Messages in corporate chat platforms (Microsoft Teams, Slack, Google Chat), file sharing activity, meeting participation.
Intrusiveness level: Medium to High — messaging platforms create an expectation of conversational informality that increases the privacy expectation.
Compliance requirements:
An Acceptable Use Policy (AUP) is the foundational document for workplace communications monitoring compliance. The AUP serves as the transparency mechanism under Art. 13/14 GDPR and satisfies Barbulescu Factor 1 (prior notification).
| Element | Content Required |
|---|---|
| Scope | Which systems are covered (email, internet, messaging, phone, BYOD) |
| Permitted personal use | Whether personal use is permitted, and under what conditions |
| Monitoring disclosure | What monitoring takes place (metadata, content, both), when, and by whom |
| Monitoring purpose | The specific purposes for which monitoring is conducted |
| Content exclusions | Categories excluded from monitoring (privileged communications, medical, union) |
| Access controls | Who has access to monitoring data |
| Consequences | What may happen as a result of policy violation or monitoring detection |
| Employee rights | Right to access monitoring data about them, right to challenge, grievance procedure |
| Retention | How long monitoring data is retained |
| Review | When the policy is reviewed and how employees are notified of changes |
The AUP directly shapes whether employees have a "legitimate expectation of privacy" in their workplace communications:
Document all existing email and internet monitoring systems, including:
For each monitoring capability, apply the Barbulescu six-factor test:
For each monitoring system:
1. Is prior notification provided? [Yes/No → Remediate]
2. What is the extent of monitoring? [Metadata only / Content / Both]
3. What is the legitimate reason? [Document specific purpose]
4. Is there a less intrusive alternative? [If yes → Switch to less intrusive method]
5. What are the consequences for employees? [Document potential adverse effects]
6. What safeguards are in place? [Document access controls, retention, exclusions]
If any factor is not satisfied → Monitoring must be modified or ceased.Ensure the AUP covers all mandatory elements listed above. The AUP must be:
Email and internet monitoring requires a DPIA (see employee-monitoring-dpia skill). Document the proportionality assessment and residual risks.
Covert monitoring (monitoring without employee knowledge) is permissible only in narrowly defined circumstances:
Requirements for lawful covert monitoring (based on Köpke v Germany and ICO guidance):
Atlas Manufacturing Group Example: Atlas suspected an employee of leaking confidential product designs to a competitor. After consulting legal counsel and the DPO, the CEO authorised targeted monitoring of the suspect's outbound email attachments for a period of 14 days. The monitoring was limited to attachments containing CAD file formats and was not extended to personal communications. The investigation was documented in advance with a written justification and time limit.
| Authority | Case | Outcome | Key Issue |
|---|---|---|---|
| ECHR Grand Chamber | Barbulescu v Romania (2017) | Violation of Art. 8 | Employer monitored employee Yahoo Messenger without adequate prior notification or safeguards |
| ECHR | Libert v France (2018) | No violation | Employer accessed non-personal files on work computer; personal files were identifiably marked and protected |
| CNIL (France) | SAN-2020-012 | EUR 75,000 | Employer conducted systematic monitoring of employee internet browsing without transparency or proportionality assessment |
| Garante (Italy) | Provvedimento 303/2016 | Processing prohibited | Employer used software to monitor all employee emails in real time without DPIA or adequate transparency |
| AEPD (Spain) | PS/00050/2020 | EUR 40,000 | Employer read employee personal emails sent from corporate account without prior notification |
| BfDI (Germany) | Federal Labour Court BAG 2-AZR-681/16 (2017) | Dismissal overturned | Employer used keystroke logger evidence; court ruled monitoring was disproportionate and evidence inadmissible |
© 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/workplace-email-privacy of mukul975/Privacy-Data-Protection-Skills.
Open the folder on GitHubat commit 9b2ef9e
Workplace Email Privacy 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 |
|---|---|---|---|---|---|---|
| Workplace Email Privacy this skillmukul975/Privacy-Data-Protection-Skills | 301 | — | ~4.4k | Automated safety check: Pass | Apache-2.0 | |
| Pii Contract Analyzegregmos/PII-Shield | 150 | — | ~8.9k | Automated safety check: Notes | MIT | |
| Privacy Eukimlawtech/korean-privacy-terms | 587 | — | ~968 | Automated safety check: Pass | Apache-2.0 | |
| Terms Of Service Generatorzubair-trabzada/ai-legal-claude | 1.8k | — | ~2.9k | Automated safety check: Pass | None | |
| Tos Clause Scannerzebbern/claude-code-guide | 4.7k | 1 repos | ~3.3k | Automated safety check: Pass | MIT | |
| Legal Advisoraiskillstore/marketplace | 433 | 9 repos | ~615 | Automated safety check: Pass | None |
gregmos/PII-Shield
Universal legal document processor with PII anonymization. An agent skill from gregmos/PII-Shield.
kimlawtech/korean-privacy-terms
EU 사용자 대상 서비스용 Privacy Notice·Terms of Service·Consent Modal·Cookie Banner 자동 생성.
zubair-trabzada/ai-legal-claude
Generates complete, GDPR/CCPA-compliant Terms of Service for a website or SaaS product, with plain English summaries for each section
zebbern/claude-code-guide
Audit Terms of Service, user agreements, and privacy policies for consumer risks, producing a structured report that flags unfair clauses, data traps, and liability issues.
aiskillstore/marketplace
Draft privacy policies, terms of service, disclaimers, and legal notices.
theopenco/llmgateway
Edit LLM Gateway legal documents — Terms of Use, Privacy Policy, sub-processors, and product-specific supplemental terms such as DevPass.
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
Implements email and internet monitoring compliance in the workplace per Barbulescu v Romania (ECHR Grand Chamber), EDPB guidance, and national labour law. Workplace Email Privacy is an agent skill from mukul975/Privacy-Data-Protection-Skills. Implements email and internet monitoring compliance in the workplace per Barbulescu v Romania (ECHR Grand Chamber), EDPB guidance, and national labour law.
Workplace Email Privacy fits situations like: tasks that involve Policy and terms drafting; tasks that involve Privacy and GDPR.
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill workplace-email-privacy -a claude-code`. Or copy the skill folder (skills/privacy/workplace-email-privacy in mukul975/Privacy-Data-Protection-Skills) into .claude/skills/workplace-email-privacy in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill workplace-email-privacy -a codex`. Or copy the skill folder (skills/privacy/workplace-email-privacy in mukul975/Privacy-Data-Protection-Skills) into .agents/skills/workplace-email-privacy 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 workplace-email-privacy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/workplace-email-privacy, .gemini/skills/workplace-email-privacy, .github/skills/workplace-email-privacy and .opencode/skills/workplace-email-privacy in your project.
Going by SKILL.md and its folder, Workplace Email Privacy 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.
Workplace Email Privacy 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 4.4k tokens (SKILL.md is roughly 18k 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 2.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Workplace Email Privacy: Pii Contract Analyze (gregmos/PII-Shield, 150 stars), Privacy Eu (kimlawtech/korean-privacy-terms, 587 stars), Terms Of Service Generator (zubair-trabzada/ai-legal-claude, 1.8k stars) and Tos Clause Scanner (zebbern/claude-code-guide, 4.7k 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.