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Multi-regulation privacy compliance navigator. An agent skill from aAAaqwq/AGI-Super-Team.
Install Privacy Compliance
$ npx skills add aAAaqwq/AGI-Super-Team --skill privacy-compliance -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team privacy-compliance --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/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/privacy-compliance .claude/skills/privacy-compliance && 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 "privacy-compliance" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/privacy-compliance into .claude/skills/privacy-compliance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "privacy-compliance", 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/aAAaqwq/AGI-Super-Team/tree/main/skills/privacy-complianceType 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 aAAaqwq/AGI-Super-Team --skill privacy-compliance -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team privacy-compliance --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/privacy-compliance .agents/skills/privacy-compliance && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "privacy-compliance" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/privacy-compliance into .agents/skills/privacy-compliance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "privacy-compliance", 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 aAAaqwq/AGI-Super-Team --skill privacy-compliance -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team privacy-compliance --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/privacy-compliance .cursor/skills/privacy-compliance && 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 "privacy-compliance" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/privacy-compliance into .cursor/skills/privacy-compliance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "privacy-compliance", 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/aAAaqwq/AGI-Super-Team.git --path skills/privacy-compliance--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 aAAaqwq/AGI-Super-Team --skill privacy-compliance -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team privacy-compliance --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/privacy-compliance .gemini/skills/privacy-compliance && 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 "privacy-compliance" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/privacy-compliance into .gemini/skills/privacy-compliance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "privacy-compliance", 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 aAAaqwq/AGI-Super-Team privacy-complianceInstalls 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 aAAaqwq/AGI-Super-Team --skill privacy-compliance -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/privacy-compliance .github/skills/privacy-compliance && 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 "privacy-compliance" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/privacy-compliance into .github/skills/privacy-compliance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "privacy-compliance", 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 aAAaqwq/AGI-Super-Team --skill privacy-compliance -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team privacy-compliance --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/privacy-compliance .opencode/skills/privacy-compliance && 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 "privacy-compliance" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/privacy-compliance into .opencode/skills/privacy-compliance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "privacy-compliance", 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.
Facts
- Skill name
privacy-compliance- GitHub stars
- 105
- Used in
- 1 other repo
- Token cost
- ~3.6k tokens
- SKILL.md length
- 1,096 words
- Files
- 1
- Skills in repo
- 167
- Repo updated
- First seen
- Licence
- MIT
At a glance
Multi-regulation privacy compliance navigator. An agent skill from aAAaqwq/AGI-Super-Team.
- UK GDPR compliance assessments
- SKILL.md covers Table of Contents, Tools, Reference Guides and Workflows, plus 5 more sections
- Calls python
- Data subject request management
What it does
Privacy Compliance is an agent skill from aAAaqwq/AGI-Super-Team. Multi-regulation privacy compliance navigator. Use for GDPR, CCPA, LGPD, POPIA, PIPEDA, PDPA, Privacy Act, PIPL, UK GDPR compliance assessments, DPA reviews, and data subject request management.
Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Legal & Compliance, covering Privacy and GDPR. The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.
When your agent uses it
- UK GDPR compliance assessments
- Data subject request management
Example prompts
- “/privacy-compliance”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 7cefd81. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Privacy Compliance loads about 3.6k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 1,096 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.
Safety
Auto-check passed
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from aAAaqwq/AGI-Super-Team at commit 7cefd81, republished under its MIT licence (© aAAaqwq). 1,096 words, ~3,612 tokens.
Download SKILL.mdSave it as
.claude/skills/privacy-compliance/SKILL.md (or your agent's skills folder).- name
- privacy-compliance
- description
- Multi-regulation privacy compliance navigator. Use for GDPR, CCPA, LGPD, POPIA, PIPEDA, PDPA, Privacy Act, PIPL, UK GDPR compliance assessments, DPA reviews, and data subject request management.
- license
- MIT + Commons Clause
- metadata.version
- 1.0.0
- metadata.author
- The Glass Room
- metadata.category
- legal
- metadata.domain
- privacy-compliance
- metadata.updated
- 2026-04-10
- metadata.tags
- privacy, gdpr, ccpa, data-protection, compliance
⚠️ EXPERIMENTAL — This skill is provided for educational and informational purposes only. It does NOT constitute legal advice. All responsibility for usage rests with the user. Consult qualified legal professionals before acting on any output.
Privacy Compliance Navigator
Tools and guidance for multi-regulation privacy compliance across 9 major global privacy frameworks, DPA review, and data subject request lifecycle management.
Table of Contents
- Tools
- Reference Guides
- Workflows
- Troubleshooting
- Success Criteria
- Scope & Limitations
- Anti-Patterns
- Tool Reference
Tools
Privacy Regulation Checker
Determines which privacy regulations apply to an organization based on its location, data subjects, data types, and processing activities. Generates a compliance obligations matrix and flags gaps.
# Basic check — organization in Germany processing EU and US data
python scripts/privacy_regulation_checker.py \
--org-location DE \
--data-subjects EU,US \
--data-types personal,sensitive,financial \
--processing-activities marketing,analytics,hr
# JSON output for integration
python scripts/privacy_regulation_checker.py \
--org-location SG \
--data-subjects SG,AU,CN \
--data-types personal,health \
--processing-activities healthcare,research \
--json
# Include gap analysis against current practices
python scripts/privacy_regulation_checker.py \
--org-location US-CA \
--data-subjects EU,US,BR \
--data-types personal,biometric \
--processing-activities ecommerce,profiling \
--current-practices consent_mechanism,breach_process,retention_policyDetermines:
- Which of 9 regulations apply based on territorial scope rules
- Key obligations per applicable regulation
- Data subject rights required per regulation
- Response timelines per regulation
- Gap analysis when current practices are provided
Output:
- Applicable regulations list with confidence level
- Per-regulation obligations matrix
- Gap analysis with risk ratings
- Recommended priority actions
DSR Tracker
Manages Data Subject Request lifecycle across multiple regulations with deadline calculation, status tracking, and overdue alerts.
# Add a new GDPR access request
python scripts/dsr_tracker.py add \
--type access --regulation gdpr \
--subject "Jane Smith" --email "jane@example.com"
# Add CCPA deletion request
python scripts/dsr_tracker.py add \
--type deletion --regulation ccpa \
--subject "John Doe" --email "john@example.com"
# List all open requests
python scripts/dsr_tracker.py list
# List overdue requests only
python scripts/dsr_tracker.py list --overdue
# Update request status
python scripts/dsr_tracker.py update --id DSR-0001 --status verified
# Dashboard view with time remaining
python scripts/dsr_tracker.py dashboard
# Export as JSON
python scripts/dsr_tracker.py dashboard --jsonSupported Request Types:
| Type | GDPR Art. | CCPA Section | LGPD Art. |
|---|---|---|---|
| Access | Art. 15 | §1798.100 | Art. 18 |
| Deletion/Erasure | Art. 17 | §1798.105 | Art. 18(VI) |
| Correction/Rectification | Art. 16 | §1798.106 | Art. 18(III) |
| Portability | Art. 20 | §1798.130 | Art. 18(V) |
| Restriction | Art. 18 | — | Art. 18(IV) |
| Objection | Art. 21 | §1798.120 | Art. 18(IV) |
| Automated Decision Opt-Out | Art. 22 | §1798.185 | Art. 20 |
| Withdraw Consent | Art. 7(3) | — | Art. 18(IX) |
Deadline Calculation:
| Regulation | Initial Deadline | Extension | Extension Deadline |
|---|---|---|---|
| GDPR | 30 calendar days | +60 days (complex) | 90 calendar days |
| CCPA | 10 business days (ack) + 45 calendar days | +45 days | 90 calendar days |
| LGPD | 15 calendar days | — | — |
| POPIA | 30 calendar days | — | — |
| PIPEDA | 30 calendar days | +30 days | 60 calendar days |
| PDPA (SG) | 30 calendar days | — | — |
| Privacy Act (AU) | 30 calendar days | +30 days | 60 calendar days |
| PIPL | 15 calendar days | +15 days | 30 calendar days |
| UK GDPR | 30 calendar days | +60 days | 90 calendar days |
Statuses: received → verified → processing → completed | denied | extended
Reference Guides
Global Privacy Regulations
references/global_privacy_regulations.md
Comprehensive comparison of 9 major privacy regulations covering:
- Territorial scope and applicability criteria
- Legal bases for processing
- Data subject rights comparison matrix
- Breach notification requirements and timelines
- Cross-border transfer mechanisms
- DPO requirements
- Penalty structures
DPA Review Checklist
references/dpa_review_checklist.md
Complete Data Processing Agreement review guide:
- Art. 28 GDPR required elements
- 10 processor obligations with analysis points
- International transfer mechanisms (SCCs June 2021, module selection)
- Transfer impact assessment requirements
- Common DPA issues with risk levels
- Practical negotiation considerations
DSR Handling Guide
references/dsr_handling_guide.md
Data Subject Request handling reference:
- 8 request types with intake procedures
- Identity verification methods
- Response timelines per regulation
- Exemptions by regulation
- 6-step response process
- Regulatory monitoring approach
Workflows
Workflow 1: Regulation Applicability Assessment
Step 1: Identify organization parameters
→ Location, data subjects, data types, processing activities
Step 2: Run regulation checker
→ python scripts/privacy_regulation_checker.py --org-location [LOC] ...
Step 3: Review applicable regulations and obligations
→ Prioritize by risk (penalties, data volume, enforcement activity)
Step 4: Gap analysis against current practices
→ Re-run with --current-practices flag
Step 5: Build remediation roadmap
→ Address critical gaps first (missing legal basis, no breach process)Workflow 2: Data Subject Request Handling
Step 1: Receive and log request
→ python scripts/dsr_tracker.py add --type [type] --regulation [reg] ...
Step 2: Verify identity (proportionate to sensitivity)
→ See references/dsr_handling_guide.md for methods
→ python scripts/dsr_tracker.py update --id [ID] --status verified
Step 3: Gather data from all systems
→ python scripts/dsr_tracker.py update --id [ID] --status processing
Step 4: Apply exemptions if applicable
→ Check references/dsr_handling_guide.md exemptions table
Step 5: Prepare and send response within deadline
→ python scripts/dsr_tracker.py update --id [ID] --status completed
Step 6: Monitor dashboard for overdue requests
→ python scripts/dsr_tracker.py dashboardWorkflow 3: DPA Review
Step 1: Check DPA against Art. 28 required elements
→ Use references/dpa_review_checklist.md
Step 2: Verify processor obligations (10 items)
→ Sub-processing, deletion, audit rights, etc.
Step 3: Assess international transfer provisions
→ SCC module selection (C2P, C2C, P2P, P2C)
→ Transfer impact assessment
→ Supplementary measures
Step 4: Review practical considerations
→ Liability caps, insurance, termination, data locations
Step 5: Document findings and negotiate amendmentsWorkflow 4: Multi-Regulation Compliance Program
Step 1: Run regulation checker for full scope
→ python scripts/privacy_regulation_checker.py [params]
Step 2: Map overlapping obligations across regulations
→ Use references/global_privacy_regulations.md comparison matrix
Step 3: Build unified controls (satisfy strictest requirement)
→ GDPR-first approach covers most other regulations
Step 4: Layer regulation-specific requirements
→ CCPA opt-out mechanisms, LGPD DPO, PIPL localization
Step 5: Monitor regulatory changes
→ See references/dsr_handling_guide.md monitoring approachTroubleshooting
| Problem | Possible Cause | Resolution |
|---|---|---|
| Regulation checker flags unexpected regulation | Data subjects in jurisdiction not considered | Review data flow maps; even indirect data collection (analytics, cookies) can trigger territorial scope |
| DSR deadline missed | Request not logged promptly or status not updated | Implement intake SLA (log within 24 hours); use dashboard daily for overdue alerts |
| DPA missing Art. 28 elements | Template from processor is incomplete | Use DPA review checklist to identify gaps; require amendments before signing |
| Cross-border transfer mechanism unclear | Multiple transfer layers (controller → processor → sub-processor) | Map full data flow chain; each transfer leg needs its own mechanism |
| Conflicting obligations across regulations | Retention vs. deletion requirements differ | Document conflicts; apply strictest obligation unless local law mandates otherwise; seek legal counsel |
| Identity verification proportionality unclear | Over-verification deters legitimate requests | Match verification to risk: low-risk data = email confirmation; high-risk = ID verification |
Success Criteria
- All applicable regulations identified and mapped — regulation checker confirms coverage with zero unaddressed jurisdictions where data subjects reside
- 100% of DSRs responded within statutory deadlines — dashboard shows zero overdue requests; extension documented where used
- DPAs reviewed against Art. 28 checklist before signing — all 10 processor obligations addressed; international transfer mechanisms validated
- Compliance matrix maintained and current — quarterly review of obligations per regulation with change log
- Regulatory monitoring active — escalation criteria defined; new regulation applicability assessed within 30 days of enactment
Show full SKILL.md (415 more words)Show less
Scope & Limitations
In Scope:
- Applicability assessment for 9 major privacy regulations
- Data subject request tracking with multi-regulation deadline calculation
- DPA review against Art. 28 GDPR requirements
- Cross-regulation obligation mapping
- Gap analysis against current practices
- International transfer mechanism assessment
Out of Scope:
- Legal advice on specific legal basis selection — consult qualified privacy counsel
- Supervisory authority filings or breach notifications
- Cookie consent implementation or consent management platform configuration
- Binding Corporate Rules (BCR) application process
- Sector-specific regulations (HIPAA, FERPA, GLBA) beyond the 9 covered frameworks
- Data Protection Impact Assessments (see
dpia-assessmentskill)
Anti-Patterns
| Anti-Pattern | Why It Fails | Better Approach |
|---|---|---|
| GDPR-only compliance | Organizations assume GDPR covers all obligations; miss CCPA opt-out requirements, LGPD DPO mandate, PIPL data localization | Run regulation checker against all jurisdictions where data subjects reside; layer regulation-specific controls |
| One-size-fits-all DSR process | Applying GDPR 30-day timeline to all regulations misses CCPA 10-business-day acknowledgment or PIPL 15-day deadline | Configure per-regulation deadlines; use DSR tracker with regulation parameter for accurate deadline calculation |
| Ignoring sub-processor chains in DPA review | DPA covers direct processor but sub-processors transfer data to third countries without TIA | Map full processing chain in DPA review; require Art. 28(2) sub-processor obligations; validate each transfer leg |
| Treating privacy as a one-time project | Regulations evolve; new laws enacted; enforcement priorities shift | Implement regulatory monitoring with escalation criteria; quarterly compliance reviews |
Tool Reference
privacy_regulation_checker.py
Determines applicable privacy regulations and maps obligations based on organization parameters.
| Flag | Required | Description |
|---|---|---|
--org-location <code> | Yes | Organization headquarters (ISO country code, e.g., DE, US-CA, SG) |
--data-subjects <list> | Yes | Comma-separated locations of data subjects (EU, US, BR, ZA, CA, SG, AU, CN, UK) |
--data-types <list> | Yes | Comma-separated data types (personal, sensitive, financial, health, biometric, children) |
--processing-activities <list> | Yes | Comma-separated activities (marketing, analytics, hr, ecommerce, profiling, healthcare, research) |
--current-practices <list> | No | Comma-separated current practices for gap analysis |
--json | No | Output in JSON format |
dsr_tracker.py
Tracks Data Subject Request lifecycle with multi-regulation deadline calculation.
| Subcommand | Description |
|---|---|
add | Add new DSR (--type, --regulation, --subject, --email required) |
list | List all requests (--overdue for overdue only) |
update | Update request status (--id, --status required) |
dashboard | Show dashboard with time remaining and alerts |
| Flag | Description |
|---|---|
--type <type> | Request type: access, deletion, correction, portability, restriction, objection, automated_decision, withdraw_consent |
--regulation <reg> | Regulation: gdpr, ccpa, lgpd, popia, pipeda, pdpa, privacy_act_au, pipl, uk_gdpr |
--subject <name> | Data subject name |
--email <email> | Data subject email |
--id <id> | Request ID (e.g., DSR-0001) |
--status <status> | Status: received, verified, processing, completed, denied, extended |
--overdue | Filter to overdue requests only |
--json | Output in JSON format |
--data-file <path> | Custom data file path (default: dsr_requests.json) |
© aAAaqwq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/privacy-compliance of aAAaqwq/AGI-Super-Team.
Open the folder on GitHubat commit 7cefd81
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aAAaqwq/AGI-Super-Team, which our catalogue first saw on October 7, 2026.
Compare with similar skills
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Questions about Privacy Compliance
What does Privacy Compliance do?
Multi-regulation privacy compliance navigator. An agent skill from aAAaqwq/AGI-Super-Team. Privacy Compliance is an agent skill from aAAaqwq/AGI-Super-Team. Multi-regulation privacy compliance navigator.
When should I use Privacy Compliance?
Privacy Compliance fits situations like: UK GDPR compliance assessments; data subject request management.
How do I install Privacy Compliance in Claude Code?
Run `npx skills add aAAaqwq/AGI-Super-Team --skill privacy-compliance -a claude-code`. Or copy the skill folder (skills/privacy-compliance in aAAaqwq/AGI-Super-Team) into .claude/skills/privacy-compliance in your project. Claude Code loads it when a task matches its description.
How do I install Privacy Compliance in Codex?
Run `npx skills add aAAaqwq/AGI-Super-Team --skill privacy-compliance -a codex`. Or copy the skill folder (skills/privacy-compliance in aAAaqwq/AGI-Super-Team) into .agents/skills/privacy-compliance in your project. Codex loads it when a task matches its description.
Can I use Privacy Compliance in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aAAaqwq/AGI-Super-Team --skill privacy-compliance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/privacy-compliance, .gemini/skills/privacy-compliance, .github/skills/privacy-compliance and .opencode/skills/privacy-compliance in your project.
What does Privacy Compliance need to run?
Going by SKILL.md and its folder, Privacy Compliance needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Privacy Compliance access the network?
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.
Is Privacy Compliance safe to install?
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. Review the folder before installing.
What licence does Privacy Compliance use?
Privacy Compliance is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Privacy Compliance use?
About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Privacy Compliance?
Skills that share tags, products or a category with Privacy Compliance: 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.
Who maintains Privacy Compliance?
aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 167 skills in this directory. The repository was last updated on October 8, 2026.
Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.