C15t
c15t/c15t
Work with c15t consent management docs, APIs, and integrations for Next.js, React, and JavaScript.
Determines whether a personal data breach triggers notification obligations under GDPR Articles 33 and 34 using structured risk assessment methodology.
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill breach-risk-assessment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills breach-risk-assessment --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/breach-risk-assessment .claude/skills/breach-risk-assessment && 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 "breach-risk-assessment" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/breach-risk-assessment into .claude/skills/breach-risk-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "breach-risk-assessment", 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/breach-risk-assessmentType 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 breach-risk-assessment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills breach-risk-assessment --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/breach-risk-assessment .agents/skills/breach-risk-assessment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "breach-risk-assessment" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/breach-risk-assessment into .agents/skills/breach-risk-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "breach-risk-assessment", 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 breach-risk-assessment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills breach-risk-assessment --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/breach-risk-assessment .cursor/skills/breach-risk-assessment && 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 "breach-risk-assessment" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/breach-risk-assessment into .cursor/skills/breach-risk-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "breach-risk-assessment", 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/breach-risk-assessment--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 breach-risk-assessment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills breach-risk-assessment --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/breach-risk-assessment .gemini/skills/breach-risk-assessment && 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 "breach-risk-assessment" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/breach-risk-assessment into .gemini/skills/breach-risk-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "breach-risk-assessment", 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 breach-risk-assessmentInstalls 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 breach-risk-assessment -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/breach-risk-assessment .github/skills/breach-risk-assessment && 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 "breach-risk-assessment" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/breach-risk-assessment into .github/skills/breach-risk-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "breach-risk-assessment", 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 breach-risk-assessment -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 breach-risk-assessment --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/breach-risk-assessment .opencode/skills/breach-risk-assessment && 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 "breach-risk-assessment" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/breach-risk-assessment into .opencode/skills/breach-risk-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "breach-risk-assessment", 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.
breach-risk-assessmentDetermines whether a personal data breach triggers notification obligations under GDPR Articles 33 and 34 using structured risk assessment methodology.
Breach Risk Assessment is an agent skill from mukul975/Privacy-Data-Protection-Skills. Determines whether a personal data breach triggers notification obligations under GDPR Articles 33 and 34 using structured risk assessment methodology. Covers breach type classification (CIA triad), data sensitivity scoring, volume assessment, identifiability analysis, and consequence severity evaluation. References EDPB Guidelines 01/2021 with 18 breach scenarios. Keywords: breach risk assessment, GDPR, Article 33, Article 34, EDPB, notification threshold.
Its SKILL.md is about 3.1k 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.
8 steps, taken from the first numbered list 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.
Breach Risk Assessment loads about 3.1k tokens when it runs, and up to ~6.3k if it reads all its reference files. Until then it costs about 121 tokens; SKILL.md has 1,438 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). 1,438 words, ~3,140 tokens.
.claude/skills/breach-risk-assessment/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.When a personal data breach occurs, the controller must assess whether the breach is "likely to result in a risk to the rights and freedoms of natural persons" (Art. 33(1)) to determine whether supervisory authority notification is required, and whether it is "likely to result in a high risk" (Art. 34(1)) to determine whether data subject notification is required. This skill provides a structured, repeatable methodology based on EDPB Guidelines 9/2022 and Guidelines 01/2021.
Every breach must first be classified according to the type of security compromise:
Unauthorized or accidental disclosure of, or access to, personal data.
| Scenario | Severity Indicator |
|---|---|
| Email containing 50 customer records sent to wrong internal department | Low — limited exposure, same organization |
| Database export of 200,000 records posted on public file-sharing service | Severe — mass exposure, publicly accessible |
| Employee accesses medical records of a colleague without authorization | Medium — limited scope but sensitive data |
| Backup tape containing unencrypted payroll data lost during transport | High — financial data, unknown accessor |
Unauthorized or accidental alteration of personal data.
| Scenario | Severity Indicator |
|---|---|
| Malware modifies patient medication dosages in a clinical database | Severe — potential physical harm |
| Software bug overwrites postal codes in 5,000 customer records | Low — non-sensitive field, reversible from backup |
| Unauthorized modification of employee performance review scores | Medium — potential employment consequences |
| SQL injection alters financial transaction records | High — financial integrity compromised |
Accidental or unauthorized loss of access to, or destruction of, personal data.
| Scenario | Severity Indicator |
|---|---|
| Ransomware encrypts the HR system for 48 hours; clean backup restored | Medium — temporary unavailability, data recovered |
| Fire destroys the only copy of archived patient records | Severe — permanent loss, healthcare impact |
| DDoS attack renders the customer portal unavailable for 6 hours | Low — temporary, no data loss or compromise |
| Cryptographic key destruction makes encrypted dataset permanently unreadable | Severe — irreversible data loss |
| Score | Criteria | Examples |
|---|---|---|
| 1 — Low | Non-sensitive data already in the public domain or easily obtainable | Business contact details, publicly listed addresses |
| 2 — Medium | Personal data that could cause minor inconvenience if disclosed | Email addresses, phone numbers, purchase history |
| 3 — High | Sensitive personal data or data with significant impact potential | Financial account details, government ID numbers, employment records |
| 4 — Severe | Special category data (Art. 9), criminal conviction data (Art. 10), or data enabling significant harm | Health records, biometric data, genetic data, sexual orientation, political opinions |
| Score | Data Subject Count | Rationale |
|---|---|---|
| 1 | Fewer than 100 | Limited scale — individual assessment feasible |
| 2 | 100 to 1,000 | Moderate scale — structured response required |
| 3 | 1,000 to 100,000 | Large scale — significant organizational impact |
| 4 | More than 100,000 | Mass scale — potential for widespread societal impact |
| Score | Criteria |
|---|---|
| 1 | Data is pseudonymized or encrypted; re-identification requires additional data held separately and securely |
| 2 | Data contains indirect identifiers only; re-identification possible with moderate effort |
| 3 | Data contains direct identifiers (name + one other element); individuals readily identifiable |
| 4 | Data contains multiple direct identifiers, photographs, or biometric data; immediate identification possible |
| Score | Potential Consequences |
|---|---|
| 1 | Minor inconvenience — e.g., receiving unsolicited marketing, needing to change a password |
| 2 | Moderate impact — e.g., targeted phishing risk, minor financial exposure, reputational inconvenience |
| 3 | Significant impact — e.g., identity theft risk, substantial financial loss, employment consequences, discrimination risk |
| 4 | Severe impact — e.g., physical safety threat, significant financial fraud, denial of essential services, threat to life |
| Score | Criteria |
|---|---|
| 1 | General adult population with no heightened vulnerability |
| 2 | Population includes some individuals in dependent relationships (employees, tenants) |
| 3 | Population includes elderly, financially vulnerable, or individuals in unequal power dynamics |
| 4 | Population includes minors, patients, asylum seekers, or individuals whose safety depends on data confidentiality |
| Score | Criteria |
|---|---|
| 1 | Controller processes personal data as an ancillary activity (e.g., office administration) |
| 2 | Controller processes personal data as a core activity for service delivery |
| 3 | Controller is in a position of trust (financial institution, healthcare provider, education) |
| 4 | Controller processes data at scale as a core business (data broker, payment processor, social media platform) |
| Aggregate Score | Risk Level | Art. 33 SA Notification | Art. 34 DS Notification | Required Action |
|---|---|---|---|---|
| 6-8 | Unlikely to result in risk | Not required | Not required | Document in Art. 33(5) breach register only |
| 9-12 | Risk present but below high threshold | Required within 72 hours | Not required | Notify supervisory authority; document fully |
| 13-18 | Likely to result in risk, approaching high | Required within 72 hours | Recommended | Notify SA; strongly consider DS notification |
| 19-24 | Likely to result in high risk | Required within 72 hours | Required without undue delay | Notify both SA and data subjects |
Every breach risk assessment must be documented with the following elements:
© 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/breach-risk-assessment of mukul975/Privacy-Data-Protection-Skills.
Open the folder on GitHubat commit 9b2ef9e
Breach Risk Assessment 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 |
|---|---|---|---|---|---|---|
| Breach Risk Assessment this skillmukul975/Privacy-Data-Protection-Skills | 301 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| C15tc15t/c15t | 1.9k | 1 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| HIPAA Safe Harbor Coverage Auditmaziyarpanahi/openmed | 5.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Korean Privacy Termskimlawtech/korean-privacy-terms | 587 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Gdpr ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance | 946 | 1 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Hipaa ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance | 946 | 1 repos | ~2.3k | Automated safety check: Pass | MIT |
c15t/c15t
Work with c15t consent management docs, APIs, and integrations for Next.js, React, and JavaScript.
maziyarpanahi/openmed
Checks OpenMed de-identified clinical text against the 18 HIPAA Safe Harbor identifier categories and reports gaps and residual re-identification risk.
kimlawtech/korean-privacy-terms
처리방침·이용약관 자동 생성 스킬 패키지 (v4.0). An agent skill from kimlawtech/korean-privacy-terms.
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert GDPR compliance assistant covering all four core workflows: (1) auditing code and systems for GDPR violations, (2) drafting GDPR-compliant documents such as privacy policies, Data Processing…
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert HIPAA compliance assistant for healthcare and software contexts.
gregmos/PII-Shield
Universal legal document processor with PII anonymization. An agent skill from gregmos/PII-Shield.
mukul975/Privacy-Data-Protection-Skills
Implements age-gating mechanisms for online services to restrict access based on user age.
mukul975/Privacy-Data-Protection-Skills
Manages AI model retention and machine unlearning requirements.
mukul975/Privacy-Data-Protection-Skills
Conducts Data Protection Impact Assessments for AI and ML systems per EDPB Guidelines 04/2025 on AI processing.
mukul975/Privacy-Data-Protection-Skills
Structures risk mitigation planning and residual risk tracking for Data Protection Impact Assessments under GDPR Article 35(7)(d).
mukul975/Privacy-Data-Protection-Skills
Guides implementation of the GDPR accountability principle under Articles 5(2) and 24, including documentation requirements for policies, DPIAs, RoPA, training records, and breach logs.
mukul975/Privacy-Data-Protection-Skills
Conducts pre-DPIA threshold screening to determine whether a full Data Protection Impact Assessment is required under GDPR Article 35.
Categories
Determines whether a personal data breach triggers notification obligations under GDPR Articles 33 and 34 using structured risk assessment methodology. Breach Risk Assessment is an agent skill from mukul975/Privacy-Data-Protection-Skills. Determines whether a personal data breach triggers notification obligations under GDPR Articles 33 and 34 using structured risk assessment methodology.
Breach Risk Assessment fits situations like: notification obligations under GDPR Articles 33 and 34 using structured risk assessment methodology; tasks that involve Privacy and GDPR.
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill breach-risk-assessment -a claude-code`. Or copy the skill folder (skills/privacy/breach-risk-assessment in mukul975/Privacy-Data-Protection-Skills) into .claude/skills/breach-risk-assessment in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill breach-risk-assessment -a codex`. Or copy the skill folder (skills/privacy/breach-risk-assessment in mukul975/Privacy-Data-Protection-Skills) into .agents/skills/breach-risk-assessment 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 breach-risk-assessment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/breach-risk-assessment, .gemini/skills/breach-risk-assessment, .github/skills/breach-risk-assessment and .opencode/skills/breach-risk-assessment in your project.
Going by SKILL.md and its folder, Breach Risk Assessment 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.
Breach Risk Assessment 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 3.1k tokens (SKILL.md is roughly 13k 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 3.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Breach Risk Assessment: 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.