C15t
c15t/c15t
Work with c15t consent management docs, APIs, and integrations for Next.js, React, and JavaScript.
Establishes boundaries for monitoring remote and hybrid workers including screen capture, productivity tracking, camera and microphone activation, attendance verification, and activity logging.
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill remote-work-monitoring -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills remote-work-monitoring --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/remote-work-monitoring .claude/skills/remote-work-monitoring && 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 "remote-work-monitoring" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/remote-work-monitoring into .claude/skills/remote-work-monitoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-work-monitoring", 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/remote-work-monitoringType 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 remote-work-monitoring -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills remote-work-monitoring --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/remote-work-monitoring .agents/skills/remote-work-monitoring && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "remote-work-monitoring" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/remote-work-monitoring into .agents/skills/remote-work-monitoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-work-monitoring", 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 remote-work-monitoring -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills remote-work-monitoring --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/remote-work-monitoring .cursor/skills/remote-work-monitoring && 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 "remote-work-monitoring" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/remote-work-monitoring into .cursor/skills/remote-work-monitoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-work-monitoring", 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/remote-work-monitoring--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 remote-work-monitoring -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills remote-work-monitoring --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/remote-work-monitoring .gemini/skills/remote-work-monitoring && 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 "remote-work-monitoring" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/remote-work-monitoring into .gemini/skills/remote-work-monitoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-work-monitoring", 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 remote-work-monitoringInstalls 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 remote-work-monitoring -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/remote-work-monitoring .github/skills/remote-work-monitoring && 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 "remote-work-monitoring" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/remote-work-monitoring into .github/skills/remote-work-monitoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-work-monitoring", 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 remote-work-monitoring -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 remote-work-monitoring --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/remote-work-monitoring .opencode/skills/remote-work-monitoring && 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 "remote-work-monitoring" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/remote-work-monitoring into .opencode/skills/remote-work-monitoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-work-monitoring", 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.
remote-work-monitoringEstablishes boundaries for monitoring remote and hybrid workers including screen capture, productivity tracking, camera and microphone activation, attendance verification, and activity logging.
Remote Work Monitoring is an agent skill from mukul975/Privacy-Data-Protection-Skills. Establishes boundaries for monitoring remote and hybrid workers including screen capture, productivity tracking, camera and microphone activation, attendance verification, and activity logging. Applies proportionality principles, transparency requirements, and evaluates less intrusive alternatives per EDPB and national DPA guidance. Keywords: remote work, monitoring, screen capture, productivity tracking, webcam, home office, hybrid work, proportionality, surveillance.
Its SKILL.md is about 4.7k 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.
5 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.
Remote Work Monitoring loads about 4.7k tokens when it runs, and up to ~6.9k if it reads all its reference files. Until then it costs about 124 tokens; SKILL.md has 2,246 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). 2,246 words, ~4,722 tokens.
.claude/skills/remote-work-monitoring/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.The shift to remote and hybrid work accelerated by the COVID-19 pandemic created unprecedented employer demand for monitoring technologies designed to verify that employees working from home are productive and engaged. Software platforms offering screen capture, keystroke logging, webcam activation, mouse movement tracking, application usage monitoring, and AI-powered productivity scoring saw adoption rates increase dramatically from 2020 onwards. However, monitoring employees in their homes raises fundamentally different privacy concerns than monitoring in the workplace: the home is the employee's private domain, protected by Art. 8 ECHR and Art. 7 EU Charter of Fundamental Rights, and monitoring technologies that might be marginally acceptable in an office setting become highly intrusive when deployed in an employee's personal living space.
European supervisory authorities have responded with increasing scrutiny of remote monitoring tools. The EDPB, CNIL, ICO, and national DPAs have issued guidance establishing that the proportionality standard for home monitoring is significantly more demanding than for office monitoring, and that many commonly deployed remote monitoring technologies fail that standard.
Art. 8 ECHR: The right to respect for the home is explicitly protected. Monitoring technologies that capture the home environment (webcam activation, screen capture showing personal browser tabs, microphone recording ambient conversations) constitute interference with the right to respect for private life and the home.
Art. 7 EU Charter: The right to respect for private and family life, home, and communications applies directly in the GDPR context.
EDPB position: While the EDPB has not yet issued dedicated guidelines on remote work monitoring, its existing frameworks — Guidelines 3/2019 on video devices and WP29 Opinion 2/2017 on data processing at work — establish principles that apply with even greater force in the home context:
CNIL (France):
ICO (UK):
Garante (Italy):
BfDI (Germany):
AEPD (Spain):
Description: Software that takes periodic screenshots (every 1-15 minutes) or continuously records the employee's screen.
Proportionality assessment: Disproportionate in almost all cases
| Factor | Assessment |
|---|---|
| Intrusiveness | Very High — captures personal browser tabs, private messages, health information, financial data |
| Home context | Captures personal content displayed on screen during brief personal use (checking personal email, banking) |
| Family member risk | If the device is shared or the screen is visible to family members, their data may be captured |
| Less intrusive alternatives | Application usage logging (which apps are active), output-based metrics, task completion tracking |
| Supervisory authority position | CNIL, Garante, and ICO have all stated that screen capture is disproportionate for remote work |
Verdict: Screen capture should not be deployed for general remote work monitoring. It may be justified only in narrow, time-limited circumstances for investigating specific, documented suspected misconduct.
Description: Requiring employees to keep their webcam on during working hours, periodic "check-in" photos, or AI-powered presence detection.
Proportionality assessment: Disproportionate
| Factor | Assessment |
|---|---|
| Intrusiveness | Very High — captures the employee's home environment, personal appearance, family members, living conditions |
| Special category data | May reveal health conditions, religious items, disability, family composition |
| Home context | The home is the employee's private domain; requiring camera access is equivalent to allowing the employer to look into the employee's home |
| Family member data | Children, partners, and visitors may be captured without consent or lawful basis |
| Less intrusive alternatives | Login/logout times, active status indicators, scheduled check-in meetings |
Enforcement: The Dutch court in Chetu Inc v Employee (Tilburg District Court, 2022) ruled that an employee was wrongfully dismissed for refusing to keep their webcam on during working hours. The court found that requiring continuous webcam monitoring was a disproportionate invasion of privacy and the employee's refusal was justified.
Description: Software that records individual keystrokes typed by the employee.
Proportionality assessment: Disproportionate — prohibited for remote work
| Factor | Assessment |
|---|---|
| Intrusiveness | Maximum — captures everything typed, including personal passwords, private messages, medical searches, banking details |
| Home context | On a personal device or during personal time, captures entirely private activity |
| Less intrusive alternatives | Application usage monitoring, output metrics, supervised deadline tracking |
| Supervisory authority position | CNIL has explicitly prohibited keystroke logging for general monitoring; German Federal Labour Court has ruled keylogger evidence inadmissible |
Description: Software that tracks mouse movements, clicks, scrolling, and keyboard activity to generate "activity scores" or "active time" metrics.
Proportionality assessment: Generally disproportionate
| Factor | Assessment |
|---|---|
| Intrusiveness | Medium-High — does not capture content but creates a continuous surveillance record |
| Accuracy | Poor correlation between mouse activity and actual productivity (thinking, reading documents, phone calls, video meetings do not involve mouse movement) |
| Employee impact | Creates anxiety and behavioural modification; employees may use "mouse jiggler" tools, indicating the metric drives evasion rather than productivity |
| Less intrusive alternatives | Task completion metrics, project management tools, regular manager check-ins |
Description: Tracking which applications are active and for how long (e.g., 3 hours in Excel, 2 hours in email, 1 hour in browser).
Proportionality assessment: May be proportionate with appropriate safeguards
| Factor | Assessment |
|---|---|
| Intrusiveness | Low-Medium — captures application names and duration, not content |
| Utility | Provides meaningful data about work patterns without capturing personal content |
| Limitations required | Must be limited to corporate applications; must not log personal application usage on personal devices |
| Transparency | Employees must be informed that application usage is logged |
Conditions for deployment: Application monitoring is one of the less intrusive remote monitoring tools and may be justified if:
Description: Platforms that aggregate data from multiple sources (email, calendar, messaging, file editing, meeting participation) to generate individual "productivity scores" or "engagement scores."
Proportionality assessment: Disproportionate for individual-level scoring
| Factor | Assessment |
|---|---|
| Intrusiveness | High — aggregated surveillance creates a comprehensive behavioural profile |
| Accuracy | Algorithms may not capture the complexity of knowledge work; rewards visible activity over deep work |
| Discrimination risk | Scoring algorithms may disadvantage employees with disabilities, caring responsibilities, or different work patterns |
| Art. 22 risk | If scores influence employment decisions, Art. 22 automated decision-making restrictions apply |
| Less intrusive alternatives | Regular 1:1 meetings, objective-based performance management, peer feedback |
Microsoft Viva Insights (formerly Workplace Analytics): Microsoft explicitly states that Viva Insights should not be used for surveillance. Individual data is visible only to the individual employee; managers see only aggregate team-level data. Using administrative access to view individual productivity data may violate both Microsoft's terms and GDPR proportionality requirements.
Description: Recording when employees log into corporate systems, connect to VPN, and log out.
Proportionality assessment: Generally proportionate
| Factor | Assessment |
|---|---|
| Intrusiveness | Low — records connection times only, not activity |
| Utility | Confirms working hours for contractual and regulatory compliance (Working Time Directive) |
| Less intrusive alternatives | Few alternatives are less intrusive; self-reporting is the only less intrusive option |
| Transparency | Employees should be informed that login times are recorded |
This is the least intrusive form of remote monitoring and is generally acceptable provided employees are informed and the data is used only for working time management, not for micro-management.
The recommended approach to remote work management is output-based rather than surveillance-based:
Output-based management framework:
| Element | Implementation |
|---|---|
| Clear objectives | Documented, measurable objectives agreed between manager and employee |
| Regular check-ins | Scheduled 1:1 meetings (daily, weekly) for progress updates |
| Task management tools | Project management platforms (Jira, Asana, Monday.com, Trello) for visibility into task progress |
| Delivery milestones | Regular deliverables with agreed deadlines |
| Team communication | Daily stand-ups, team channels, asynchronous updates |
| Trust-based culture | Management training on leading remote teams without surveillance |
Supervisory authority endorsement: Both the ICO and CNIL have explicitly recommended output-based management as the proportionate alternative to remote monitoring tools.
Before deploying any remote monitoring tool, the employer must document:
All remote monitoring systems require a DPIA because they involve:
Before activating any monitoring:
In jurisdictions with co-determination rights:
When Atlas transitioned 400 office-based employees to hybrid working (3 days office, 2 days home), the HR Director proposed deploying Time Doctor for screen capture and activity tracking. The DPO conducted a proportionality assessment and rejected the proposal:
DPO Assessment:
Approved alternative:
Result: After 18 months of hybrid working, Atlas's employee engagement survey showed higher satisfaction and lower attrition in hybrid roles compared to office-only roles. Productivity measured by output metrics (units produced, projects completed, customer response times) remained consistent with pre-pandemic levels.
| Authority | Case | Fine/Outcome | Key Issue |
|---|---|---|---|
| Dutch Court (Tilburg) | Chetu Inc v Employee, 2022 | Wrongful dismissal; EUR 75,000 compensation | Employee dismissed for refusing to keep webcam on; court ruled disproportionate surveillance |
| CNIL (France) | SAN-2022-021 | EUR 32,000 | Employer deployed screen capture software on remote workers without DPIA or transparency |
| Garante (Italy) | Provvedimento 2023-0089 | Processing prohibited | Continuous screen monitoring of remote workers via corporate laptop; disproportionate |
| AEPD (Spain) | PS/00089/2022 | EUR 120,000 | Employer tracked remote workers' location via GPS outside working hours |
| BfDI (Germany) | Federal Labour Court, 2023 | Evidence excluded | Keystroke logging evidence from home-working employee excluded as disproportionate monitoring |
| ICO (UK) | Advisory, 2023 | Guidance | ICO warned that employers deploying productivity-tracking software to remote workers without necessity assessment may face enforcement |
© 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/remote-work-monitoring of mukul975/Privacy-Data-Protection-Skills.
Open the folder on GitHubat commit 9b2ef9e
Remote Work Monitoring 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 |
|---|---|---|---|---|---|---|
| Remote Work Monitoring this skillmukul975/Privacy-Data-Protection-Skills | 301 | — | ~4.7k | 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
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kimlawtech/korean-privacy-terms
처리방침·이용약관 자동 생성 스킬 패키지 (v4.0). An agent skill from kimlawtech/korean-privacy-terms.
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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
Establishes boundaries for monitoring remote and hybrid workers including screen capture, productivity tracking, camera and microphone activation, attendance verification, and activity logging. Remote Work Monitoring is an agent skill from mukul975/Privacy-Data-Protection-Skills. Establishes boundaries for monitoring remote and hybrid workers including screen capture, productivity tracking, camera and microphone activation, attendance verification, and activity logging.
Remote Work Monitoring fits situations like: tasks that involve Privacy and GDPR.
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill remote-work-monitoring -a claude-code`. Or copy the skill folder (skills/privacy/remote-work-monitoring in mukul975/Privacy-Data-Protection-Skills) into .claude/skills/remote-work-monitoring in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill remote-work-monitoring -a codex`. Or copy the skill folder (skills/privacy/remote-work-monitoring in mukul975/Privacy-Data-Protection-Skills) into .agents/skills/remote-work-monitoring 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 remote-work-monitoring -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/remote-work-monitoring, .gemini/skills/remote-work-monitoring, .github/skills/remote-work-monitoring and .opencode/skills/remote-work-monitoring in your project.
Going by SKILL.md and its folder, Remote Work Monitoring 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.
Remote Work Monitoring 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 4.7k 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 2.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Remote Work Monitoring: 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.