C15t
c15t/c15t
Work with c15t consent management docs, APIs, and integrations for Next.js, React, and JavaScript.
CCPA and CPRA California privacy compliance. An agent skill from borghei/Claude-Skills.
$ npx skills add borghei/Claude-Skills --skill ccpa-cpra-privacy-expert -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install borghei/Claude-Skills ccpa-cpra-privacy-expert --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/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ra-qm-team/ccpa-cpra-privacy-expert .claude/skills/ccpa-cpra-privacy-expert && 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 "ccpa-cpra-privacy-expert" agent skill from https://github.com/borghei/Claude-Skills/tree/main/ra-qm-team/ccpa-cpra-privacy-expert into .claude/skills/ccpa-cpra-privacy-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccpa-cpra-privacy-expert", 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/borghei/Claude-Skills/tree/main/ra-qm-team/ccpa-cpra-privacy-expertType 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 borghei/Claude-Skills --skill ccpa-cpra-privacy-expert -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install borghei/Claude-Skills ccpa-cpra-privacy-expert --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ra-qm-team/ccpa-cpra-privacy-expert .agents/skills/ccpa-cpra-privacy-expert && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ccpa-cpra-privacy-expert" agent skill from https://github.com/borghei/Claude-Skills/tree/main/ra-qm-team/ccpa-cpra-privacy-expert into .agents/skills/ccpa-cpra-privacy-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccpa-cpra-privacy-expert", 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 borghei/Claude-Skills --skill ccpa-cpra-privacy-expert -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install borghei/Claude-Skills ccpa-cpra-privacy-expert --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ra-qm-team/ccpa-cpra-privacy-expert .cursor/skills/ccpa-cpra-privacy-expert && 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 "ccpa-cpra-privacy-expert" agent skill from https://github.com/borghei/Claude-Skills/tree/main/ra-qm-team/ccpa-cpra-privacy-expert into .cursor/skills/ccpa-cpra-privacy-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccpa-cpra-privacy-expert", 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/borghei/Claude-Skills.git --path ra-qm-team/ccpa-cpra-privacy-expert--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 borghei/Claude-Skills --skill ccpa-cpra-privacy-expert -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install borghei/Claude-Skills ccpa-cpra-privacy-expert --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ra-qm-team/ccpa-cpra-privacy-expert .gemini/skills/ccpa-cpra-privacy-expert && 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 "ccpa-cpra-privacy-expert" agent skill from https://github.com/borghei/Claude-Skills/tree/main/ra-qm-team/ccpa-cpra-privacy-expert into .gemini/skills/ccpa-cpra-privacy-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccpa-cpra-privacy-expert", 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 borghei/Claude-Skills ccpa-cpra-privacy-expertInstalls 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 borghei/Claude-Skills --skill ccpa-cpra-privacy-expert -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/ra-qm-team/ccpa-cpra-privacy-expert .github/skills/ccpa-cpra-privacy-expert && 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 "ccpa-cpra-privacy-expert" agent skill from https://github.com/borghei/Claude-Skills/tree/main/ra-qm-team/ccpa-cpra-privacy-expert into .github/skills/ccpa-cpra-privacy-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccpa-cpra-privacy-expert", 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 borghei/Claude-Skills --skill ccpa-cpra-privacy-expert -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install borghei/Claude-Skills ccpa-cpra-privacy-expert --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ra-qm-team/ccpa-cpra-privacy-expert .opencode/skills/ccpa-cpra-privacy-expert && 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 "ccpa-cpra-privacy-expert" agent skill from https://github.com/borghei/Claude-Skills/tree/main/ra-qm-team/ccpa-cpra-privacy-expert into .opencode/skills/ccpa-cpra-privacy-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccpa-cpra-privacy-expert", 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.
ccpa-cpra-privacy-expertCCPA and CPRA California privacy compliance. An agent skill from borghei/Claude-Skills.
Ccpa Cpra Privacy Expert is an agent skill from borghei/Claude-Skills. CCPA and CPRA California privacy compliance. Use for CCPA/CPRA readiness assessments, personal information data mapping, consumer rights handling, privacy policy review, opt-out mechanisms, and California privacy audits.
Its SKILL.md is about 5.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/ccpa-cpra-requirements-guide.md`, `references/ccpa-implementation-playbook.md` and `scripts/ccpa_compliance_checker.py`).
It sits in Legal & Compliance, covering Privacy and GDPR. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.
Read from SKILL.md and the folder at commit 4a698e8. 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 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom 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.
Ccpa Cpra Privacy Expert loads about 5.7k tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 2,137 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 borghei/Claude-Skills at commit 4a698e8, republished under its MIT licence (© borghei). 2,137 words, ~5,722 tokens.
.claude/skills/ccpa-cpra-privacy-expert/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Tools and guidance for California Consumer Privacy Act (CCPA) and California Privacy Rights Act (CPRA) compliance.
Evaluates organizational readiness against all CCPA/CPRA requirements. Validates privacy policies, consumer rights handling, technical safeguards, and opt-out mechanisms.
# Check compliance from a JSON profile
python scripts/ccpa_compliance_checker.py --input company_profile.json
# Generate a blank input template
python scripts/ccpa_compliance_checker.py --template > company_profile.json
# JSON output for automation
python scripts/ccpa_compliance_checker.py --input company_profile.json --json
# Export report to file
python scripts/ccpa_compliance_checker.py --input company_profile.json --output report.jsonAssessment Categories:
| Category | Key Checks |
|---|---|
| Applicability | Revenue threshold, consumer count, data selling revenue |
| Privacy Policy | Required disclosures, update cadence, accessibility |
| Consumer Rights | Request handling, verification, timelines |
| Opt-Out Mechanisms | "Do Not Sell" link, GPC signal, cookie consent |
| Sensitive PI | SPI categories, use limitation link, handling controls |
| Technical Safeguards | Encryption, access controls, security measures |
| Service Providers | Agreement requirements, data processing terms |
| Risk Assessments | Annual audits, processing risk evaluations |
Output:
Maps personal information categories, identifies sensitive personal information, tracks data flows across collection, use, sharing, and selling. Generates data inventory reports.
# Map data from a JSON data inventory
python scripts/ccpa_data_mapper.py --input data_inventory.json
# Generate a blank inventory template
python scripts/ccpa_data_mapper.py --template > data_inventory.json
# Export mapping report
python scripts/ccpa_data_mapper.py --input data_inventory.json --output mapping_report.json
# Generate data flow diagram (text-based)
python scripts/ccpa_data_mapper.py --input data_inventory.json --flow-diagramFeatures:
Personal Information Categories Tracked:
| Category | CCPA Section | Examples |
|---|---|---|
| Identifiers | 1798.140(v)(1)(A) | Name, SSN, IP address, email |
| Customer Records | 1798.140(v)(1)(B) | Financial info, medical info |
| Protected Classifications | 1798.140(v)(1)(C) | Race, sex, age, disability |
| Commercial Information | 1798.140(v)(1)(D) | Purchase history, tendencies |
| Biometric Information | 1798.140(v)(1)(E) | Fingerprints, face geometry |
| Internet Activity | 1798.140(v)(1)(F) | Browsing, search, interaction |
| Geolocation Data | 1798.140(v)(1)(G) | Precise location |
| Sensory Data | 1798.140(v)(1)(H) | Audio, visual, thermal |
| Professional Info | 1798.140(v)(1)(I) | Employment, education |
| Education Info | 1798.140(v)(1)(J) | Non-public education records |
| Inferences | 1798.140(v)(1)(K) | Profiles, preferences |
references/ccpa-cpra-requirements-guide.md
Complete regulatory requirements covering:
references/ccpa-implementation-playbook.md
Step-by-step implementation guidance:
Before running the assessment, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the assessment.
Step 1: Determine applicability
→ Check $25M revenue, 100K+ consumers, 50%+ PI revenue thresholds
→ Review exemptions (HIPAA, GLBA, employment data)
Step 2: Generate compliance profile template
→ python scripts/ccpa_compliance_checker.py --template > profile.json
→ Fill in organizational details
Step 3: Run compliance assessment
→ python scripts/ccpa_compliance_checker.py --input profile.json
Step 4: Review scores and findings
→ Address critical gaps first (opt-out link, privacy policy)
→ Plan remediation by category
Step 5: Create data inventory
→ python scripts/ccpa_data_mapper.py --template > inventory.json
→ Document all PI categories collected
→ python scripts/ccpa_data_mapper.py --input inventory.json
Step 6: Develop implementation plan
→ See references/ccpa-implementation-playbook.mdStep 1: Receive consumer request
→ Identify request type (Know, Delete, Opt-Out, Correct, Portability, Limit SPI)
Step 2: Acknowledge within 10 business days (confirm receipt)
→ Document request in tracking system
Step 3: Verify consumer identity
→ Match 2+ data points for standard requests
→ Match 3+ data points for sensitive data requests
→ No verification needed for opt-out requests
Step 4: Fulfill request within 45 calendar days
→ Extension: up to 45 additional days with notice
→ Search all systems using data inventory
→ python scripts/ccpa_data_mapper.py --input inventory.json
Step 5: Deliver response
→ Provide information in portable format if requested
→ Document completion and response
Step 6: Monitor compliance
→ Track response times and completion rates
→ Generate quarterly compliance reportsStep 1: Review current privacy policy against requirements
→ python scripts/ccpa_compliance_checker.py --input profile.json
→ Check privacy_policy category score
Step 2: Update data inventory
→ python scripts/ccpa_data_mapper.py --input inventory.json
→ Verify all PI categories are disclosed
Step 3: Verify required disclosures
→ Categories of PI collected (past 12 months)
→ Sources of PI
→ Business/commercial purposes
→ Categories of third parties
→ Consumer rights description
→ "Do Not Sell or Share" link
→ "Limit the Use of My Sensitive PI" link
Step 4: Update and publish
→ Annual update at minimum
→ Update within 30 days of material changes
→ Maintain prior version archive| Date | Milestone |
|---|---|
| Jan 1, 2020 | CCPA effective |
| Jul 1, 2020 | AG enforcement begins |
| Nov 3, 2020 | CPRA passed (Proposition 24) |
| Jan 1, 2023 | CPRA amendments effective |
| Jul 1, 2023 | CPPA enforcement of CPRA begins |
| 2026 | Employment and B2B data exemptions status review |
A business is subject to CCPA/CPRA if it:
Entity Types:
| Entity | Definition | Obligations |
|---|---|---|
| Business | Determines purposes and means of processing | Full CCPA/CPRA compliance |
| Service Provider | Processes PI on behalf of a business (contractual) | Limited use, deletion obligations |
| Contractor | Processes PI via written contract (CPRA addition) | Certification, limited use, audit rights |
| Third Party | Receives PI not as service provider/contractor | Subject to opt-out rights |
Exemptions:
| Right | CCPA Section | Description | Timeline |
|---|---|---|---|
| Right to Know | §1798.100, §1798.110 | Categories and specific pieces of PI collected | 45 days |
| Right to Delete | §1798.105 | Delete PI collected from the consumer | 45 days |
| Right to Opt-Out | §1798.120 | Opt out of sale or sharing of PI | Immediate |
| Right to Non-Discrimination | §1798.125 | No retaliation for exercising rights | Ongoing |
| Right to Correct | §1798.106 | Correct inaccurate PI (CPRA) | 45 days |
| Right to Limit SPI Use | §1798.121 | Limit use of sensitive PI (CPRA) | Immediate |
| Right to Data Portability | §1798.130 | Receive PI in portable format (CPRA) | 45 days |
SPI categories requiring enhanced protections under CPRA §1798.140(ae):
| Violation Type | Penalty | Enforcer |
|---|---|---|
| Unintentional violation | $2,500 per violation | CPPA / AG |
| Intentional violation | $7,500 per violation | CPPA / AG |
| Violations involving minors (under 16) | $7,500 per violation | CPPA / AG |
| Data breach (private action) | $100-$750 per consumer per incident | Consumer (court) |
Enforcement Bodies:
| Aspect | CCPA/CPRA | GDPR |
|---|---|---|
| Scope | California consumers | EU/EEA data subjects |
| Legal basis | Opt-out model | Opt-in (consent or legal basis) |
| Data covered | Personal information | Personal data |
| Sensitive data | SPI with limit-use right | Special category with explicit consent |
| Breach notification | AG notification, private action | 72-hour DPA notification |
| DPO requirement | None | Required for certain processing |
| Penalties | $2,500-$7,500 per violation | Up to 4% global revenue or €20M |
| Private right of action | Data breaches only | Varies by member state |
| Cross-border transfers | No restrictions | Adequacy decisions, SCCs, BCRs |
| Children's data | Opt-in for under 16, parental for under 13 | Parental consent for under 16 (variable) |
Cookie Consent Management:
Global Privacy Control (GPC):
Sec-GPC: 1 header or navigator.globalPrivacyControlPrivacy by Design:
Data Inventory and Mapping:
Automated Decision-Making:
Month 1-2: Discovery and Assessment
Month 3-4: Implementation
Month 5-6: Operationalization
| Problem | Possible Cause | Resolution |
|---|---|---|
| Compliance score unexpectedly low despite privacy policy updates | Policy disclosures incomplete -- missing SPI categories, retention periods, or sale/sharing categories | Run ccpa_compliance_checker.py --input profile.json and review per-category scores; cross-reference privacy policy against the 17+ required disclosure elements |
| Data mapper flags cross-border transfers but organization operates only in US | Data inventory includes cloud services with non-US processing locations | Review data inventory entries for cloud provider data processing locations; document all sub-processor locations per service provider agreements |
| Consumer rights requests consistently exceed 45-day response deadline | Manual fulfillment process without tracking system or unclear ownership | Implement ccpa_data_mapper.py to map PI across all systems; deploy request tracking with automated deadline alerts; assign per-system data stewards |
| GPC signal detection not working | Application does not check Sec-GPC: 1 header or navigator.globalPrivacyControl | Implement server-side header detection and client-side JavaScript check; test with browsers that support GPC (Firefox, Brave); log detection events |
| CPPA enforcement inquiry received | Potential compliance gap discovered during regulatory sweep or consumer complaint | Immediately run full compliance assessment; prioritize critical gaps (opt-out link, GPC, privacy policy); engage privacy counsel; document remediation timeline |
| Vendor contracts missing CCPA-required provisions | Service provider agreements predate CPRA amendments | Audit all vendor agreements against CCPA service provider/contractor requirements; update contracts to include certification, limited use, audit rights, and data deletion obligations |
| Risk assessment requirements unclear | New CPRA regulations (effective January 1, 2026) mandate risk assessments for six processing categories | Review processing activities against the six "significant risk" categories; document risk assessments per CPPA regulatory template; plan for April 2028 attestation deadline |
Sec-GPC: 1 header and navigator.globalPrivacyControl, applied to both sale and sharing of PI, with no re-authentication requiredccpa_data_mapper.pyIn Scope:
Out of Scope:
Important Notes:
| Skill | Integration | When to Use |
|---|---|---|
gdpr-dsgvo-expert | Unified privacy program satisfying both GDPR and CCPA; cross-framework privacy mapping | When organization operates in both EU and California markets |
infrastructure-compliance-auditor | Technical safeguard validation (encryption, access controls, logging) for CCPA reasonable security | When assessing infrastructure controls supporting CCPA compliance |
information-security-manager-iso27001 | Security controls supporting CCPA "reasonable security" requirement | When building security program that satisfies both ISO 27001 and CCPA |
soc2-compliance-expert | SOC 2 controls mapped to CCPA technical safeguard requirements | When SOC 2 audit evidence supports CCPA security compliance |
Evaluates organizational readiness against all CCPA/CPRA requirements across 8 assessment categories.
| Flag | Required | Description |
|---|---|---|
--input <file> | Yes (unless --template) | Path to JSON company profile for assessment |
--template | No | Generate blank input template to stdout |
--json | No | Output results in JSON format for automation |
--output <file> | No | Export report to specified file path |
Output: Overall compliance score (0-100), per-category scores with pass/fail/partial status, prioritized findings with regulatory references, and remediation recommendations.
Maps personal information categories, tracks data flows, and generates data inventory reports.
| Flag | Required | Description |
|---|---|---|
--input <file> | Yes (unless --template) | Path to JSON data inventory for mapping |
--template | No | Generate blank inventory template to stdout |
--output <file> | No | Export mapping report to specified file path |
--flow-diagram | No | Generate text-based data flow diagram showing collection, use, sharing, and selling paths |
Output: PI category mapping across all 11 CCPA categories, SPI identification, data flow analysis (sources, purposes, recipients), cross-border transfer flags, and data retention gap detection.
© borghei, MIT. 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) in ra-qm-team/ccpa-cpra-privacy-expert of borghei/Claude-Skills.
Open the folder on GitHubat commit 4a698e8
Ccpa Cpra Privacy Expert 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 |
|---|---|---|---|---|---|---|
| Ccpa Cpra Privacy Expert this skillborghei/Claude-Skills | 891 | — | ~5.7k | Automated safety check: Pass | MIT | |
| 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.
borghei/Claude-Skills
Test and evaluation harness for AI agents — scenario suites, deterministic replay, regression diffing, cost and latency budgets.
borghei/Claude-Skills
Run delivery when AI coding and ops agents take tickets. An agent skill from borghei/Claude-Skills.
borghei/Claude-Skills
Check AI-generated marketing content and reviews for required disclosures under the EU AI Act, FTC rules and platform AI-label policies.
borghei/Claude-Skills
Idea to AI-generated prototype to customer validation to engineering handoff.
borghei/Claude-Skills
Analytics engineering across data modeling, dbt, transformation, and semantic layers.
borghei/Claude-Skills
Ansoff Matrix — 4-quadrant framework for growth options: market penetration, market/product development, and diversification.
Categories
CCPA and CPRA California privacy compliance. An agent skill from borghei/Claude-Skills. Ccpa Cpra Privacy Expert is an agent skill from borghei/Claude-Skills. CCPA and CPRA California privacy compliance.
Ccpa Cpra Privacy Expert fits situations like: CCPA/CPRA readiness assessments; personal information data mapping; consumer rights handling; privacy policy review.
Run `npx skills add borghei/Claude-Skills --skill ccpa-cpra-privacy-expert -a claude-code`. Or copy the skill folder (ra-qm-team/ccpa-cpra-privacy-expert in borghei/Claude-Skills) into .claude/skills/ccpa-cpra-privacy-expert in your project. Claude Code loads it when a task matches its description.
Run `npx skills add borghei/Claude-Skills --skill ccpa-cpra-privacy-expert -a codex`. Or copy the skill folder (ra-qm-team/ccpa-cpra-privacy-expert in borghei/Claude-Skills) into .agents/skills/ccpa-cpra-privacy-expert 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 borghei/Claude-Skills --skill ccpa-cpra-privacy-expert -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ccpa-cpra-privacy-expert, .gemini/skills/ccpa-cpra-privacy-expert, .github/skills/ccpa-cpra-privacy-expert and .opencode/skills/ccpa-cpra-privacy-expert in your project.
Going by SKILL.md and its folder, Ccpa Cpra Privacy Expert needs Python for the scripts in its folder and the command-line tools its instructions call (python). 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.
Ccpa Cpra Privacy Expert is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 5.7k tokens (SKILL.md is roughly 23k 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 8.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Ccpa Cpra Privacy Expert: 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.
borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 891 GitHub stars. The repository holds 354 skills in this directory. The repository was last updated on October 7, 2026.
Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.