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Guides privacy audit risk assessment including risk universe development, inherent and residual risk scoring, control effectiveness evaluation, risk-based audit planning, heat map generation, risk…
Install Audit Risk Assessment
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill audit-risk-assessment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills audit-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/audit-risk-assessment .claude/skills/audit-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 "audit-risk-assessment" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/audit-risk-assessment into .claude/skills/audit-risk-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-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/audit-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 audit-risk-assessment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills audit-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/audit-risk-assessment .agents/skills/audit-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 "audit-risk-assessment" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/audit-risk-assessment into .agents/skills/audit-risk-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-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 audit-risk-assessment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills audit-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/audit-risk-assessment .cursor/skills/audit-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 "audit-risk-assessment" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/audit-risk-assessment into .cursor/skills/audit-risk-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-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/audit-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 audit-risk-assessment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills audit-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/audit-risk-assessment .gemini/skills/audit-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 "audit-risk-assessment" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/audit-risk-assessment into .gemini/skills/audit-risk-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-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 audit-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 audit-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/audit-risk-assessment .github/skills/audit-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 "audit-risk-assessment" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/audit-risk-assessment into .github/skills/audit-risk-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-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 audit-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 audit-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/audit-risk-assessment .opencode/skills/audit-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 "audit-risk-assessment" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/audit-risk-assessment into .opencode/skills/audit-risk-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-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.
Facts
- Skill name
audit-risk-assessment- GitHub stars
- 301
- Token cost
- ~1.5k tokens
- SKILL.md length
- 600 words
- Files
- 5 (incl. scripts, references, assets)
- Skills in repo
- 280
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Guides privacy audit risk assessment including risk universe development, inherent and residual risk scoring, control effectiveness evaluation, risk-based audit planning, heat map generation, risk…
- Tasks that involve Privacy and GDPR
- SKILL.md covers Overview, Risk Universe, Risk Scoring Methodology and Risk Appetite Alignment, plus 2 more sections
- Runs Python scripts from its folder
- Tasks that involve Prioritization frameworks
What it does
Audit Risk Assessment is an agent skill from mukul975/Privacy-Data-Protection-Skills. Guides privacy audit risk assessment including risk universe development, inherent and residual risk scoring, control effectiveness evaluation, risk-based audit planning, heat map generation, risk appetite alignment, and audit prioritization by risk exposure. Covers the full audit risk assessment cycle from scoping through ongoing monitoring. Keywords: audit risk assessment, risk universe, inherent risk, residual risk, control effectiveness, risk-based audit planning.
Its SKILL.md is about 1.5k 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 and Prioritization frameworks. 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.
When your agent uses it
- Tasks that involve Privacy and GDPR
- Tasks that involve Prioritization frameworks
Example prompts
- “Use the audit-risk-assessment skill to guide privacy audit risk assessment including risk universe development, inherent and residual risk scoring…”
- “/audit-risk-assessment”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 9b2ef9e. 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
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.
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
Audit Risk Assessment loads about 1.5k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 124 tokens; SKILL.md has 600 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); the scripts in this folder are not scanned.
SKILL.md
The full file from mukul975/Privacy-Data-Protection-Skills at commit 9b2ef9e, republished under its Apache-2.0 licence (© mukul975). 600 words, ~1,534 tokens.
Download SKILL.mdSave it as
.claude/skills/audit-risk-assessment/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- audit-risk-assessment
- description
- Guides privacy audit risk assessment including risk universe development, inherent and residual risk scoring, control effectiveness evaluation, risk-based audit planning, heat map generation, risk appetite alignment, and audit prioritization by risk exposure. Covers the full audit risk assessment cycle from scoping through ongoing monitoring. Keywords: audit risk assessment, risk universe, inherent risk, residual risk, control effectiveness, risk-based audit planning.
- license
- Apache-2.0
- metadata.author
- mukul975
- metadata.version
- 1.0
- metadata.domain
- privacy
- metadata.subdomain
- privacy-audit-certification
- metadata.tags
- audit-risk-assessment, risk-universe, inherent-risk, residual-risk, control-effectiveness
Privacy Audit Risk Assessment
Overview
Privacy audit risk assessment is the systematic process of identifying, evaluating, and prioritising privacy risks to determine audit scope, frequency, and resource allocation. A risk-based approach ensures that audit effort is directed at areas of greatest exposure, aligning with the accountability principle under GDPR Article 5(2) and the proportionality requirements of ISO 19011:2018.
The International Internal Audit Standards (IIA Standard 2010) require the chief audit executive to establish a risk-based plan to determine the priorities of the internal audit activity. In the privacy domain, this means evaluating processing activities, data categories, transfer mechanisms, and regulatory exposure to identify where compliance failures would cause the greatest harm.
Risk Universe
The privacy audit risk universe encompasses all auditable entities within the organisation's privacy programme:
| Risk Domain | Auditable Entities | Example Risks |
|---|---|---|
| Data Subject Rights | DSAR processing, consent management, automated decisions | Late DSAR responses, invalid consent, no human review for automated decisions |
| Data Processing | Processing registers, lawful basis documentation, purpose limitation | Undocumented processing, incorrect lawful basis, purpose creep |
| Data Transfers | International transfers, SCCs, BCRs, adequacy reliance | Transfer without safeguards, outdated SCCs, Schrems II non-compliance |
| Data Security | Technical controls, access management, encryption | Unauthorised access, unencrypted personal data, excessive permissions |
| Breach Management | Detection, notification, documentation, remediation | Late notification (>72 hours), inadequate forensics, poor remediation |
| Vendor Management | Processor contracts, sub-processor oversight, due diligence | Missing Article 28 clauses, no sub-processor approval, inadequate DPA |
| Privacy Governance | DPO independence, training, policies, ROPA | DPO conflict of interest, outdated policies, incomplete ROPA |
| Special Categories | Biometric data, health data, children's data | Missing DPIA, inadequate safeguards, no explicit consent |
Risk Scoring Methodology
Inherent Risk (before controls)
| Factor | Weight | Scale (1-5) | Description |
|---|---|---|---|
| Data Volume | 20% | 1=<1K records, 5=>1M records | Volume of personal data processed |
| Data Sensitivity | 25% | 1=basic contact, 5=special category/biometric | Sensitivity of data categories involved |
| Regulatory Exposure | 25% | 1=single jurisdiction, 5=global multi-regime | Number and stringency of applicable regulations |
| Processing Complexity | 15% | 1=simple storage, 5=AI/automated decisions | Complexity of processing operations |
| External Sharing | 15% | 1=internal only, 5=multiple third-party transfers | Extent of data sharing with external parties |
Control Effectiveness
| Rating | Score | Definition |
|---|---|---|
| Effective | 1 | Controls designed and operating effectively; no significant deficiencies |
| Partially Effective | 2 | Controls exist but have gaps in design or operation |
| Ineffective | 3 | Controls absent, poorly designed, or not operating as intended |
Show full SKILL.md (227 more words)Show less
Residual Risk
Residual Risk Score = Inherent Risk Score x Control Effectiveness Score
| Residual Score | Rating | Audit Priority |
|---|---|---|
| 1.0 – 2.0 | Low | Audit every 3 years |
| 2.1 – 3.5 | Medium | Audit every 2 years |
| 3.6 – 4.5 | High | Audit annually |
| 4.6 – 5.0 | Critical | Audit semi-annually; continuous monitoring |
Risk Appetite Alignment
| Risk Category | Risk Appetite | Rationale |
|---|---|---|
| Regulatory compliance | Very Low | Zero tolerance for material non-compliance with GDPR, CCPA, or sector-specific regulation |
| Data subject harm | Very Low | Protecting individuals is the primary objective of the privacy programme |
| Operational disruption | Low | Privacy controls must not unduly impede business operations |
| Reputational | Low | Privacy incidents erode customer trust and brand value |
| Financial (penalties) | Very Low | Maximum GDPR penalty: EUR 20M or 4% global turnover |
Audit Planning Integration
The risk assessment directly feeds the annual privacy audit plan:
| Input | Output |
|---|---|
| Residual risk scores by auditable entity | Prioritised list of audit engagements |
| Risk appetite thresholds | Minimum audit frequency per entity |
| Resource constraints | Audit resource allocation model |
| Regulatory developments | Emerging risk adjustments (e.g., AI Act, new state laws) |
| Prior audit findings | Increased frequency for entities with unresolved high/critical findings |
| Management requests | Ad-hoc audit engagements for new processing activities or incidents |
Heat Map Interpretation
| Likelihood ↓ / Impact → | Low Impact | Medium Impact | High Impact | Critical Impact |
|---|---|---|---|---|
| Very Likely | Medium | High | Critical | Critical |
| Likely | Low | Medium | High | Critical |
| Possible | Low | Medium | High | High |
| Unlikely | Low | Low | Medium | High |
| Rare | Low | Low | Low | Medium |
© 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
Files
SKILL.md and 4 other files (scripts, references, assets) in skills/privacy/audit-risk-assessment of mukul975/Privacy-Data-Protection-Skills.
- SKILL.md
- assets/template.md
- references/standards.md
- references/workflows.md
- scripts/process.py
Open the folder on GitHubat commit 9b2ef9e
Compare with similar skills
Audit 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 |
|---|---|---|---|---|---|---|
| Audit Risk Assessment this skillmukul975/Privacy-Data-Protection-Skills | 301 | — | ~1.5k | 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 |
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Related
Categories
Questions about Audit Risk Assessment
What does Audit Risk Assessment do?
Guides privacy audit risk assessment including risk universe development, inherent and residual risk scoring, control effectiveness evaluation, risk-based audit planning, heat map generation, risk…. Audit Risk Assessment is an agent skill from mukul975/Privacy-Data-Protection-Skills. Guides privacy audit risk assessment including risk universe development, inherent and residual risk scoring, control effectiveness evaluation, risk-based audit planning, heat map generation, risk appetite alignment, and audit prioritization by risk exposure.
When should I use Audit Risk Assessment?
Audit Risk Assessment fits situations like: tasks that involve Privacy and GDPR; tasks that involve Prioritization frameworks.
How do I install Audit Risk Assessment in Claude Code?
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill audit-risk-assessment -a claude-code`. Or copy the skill folder (skills/privacy/audit-risk-assessment in mukul975/Privacy-Data-Protection-Skills) into .claude/skills/audit-risk-assessment in your project. Claude Code loads it when a task matches its description.
How do I install Audit Risk Assessment in Codex?
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill audit-risk-assessment -a codex`. Or copy the skill folder (skills/privacy/audit-risk-assessment in mukul975/Privacy-Data-Protection-Skills) into .agents/skills/audit-risk-assessment in your project. Codex loads it when a task matches its description.
Can I use Audit Risk Assessment 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 mukul975/Privacy-Data-Protection-Skills --skill audit-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/audit-risk-assessment, .gemini/skills/audit-risk-assessment, .github/skills/audit-risk-assessment and .opencode/skills/audit-risk-assessment in your project.
What does Audit Risk Assessment need to run?
Going by SKILL.md and its folder, Audit Risk Assessment needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Audit Risk Assessment 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 Audit Risk Assessment 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Audit Risk Assessment use?
Audit 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.
How many tokens does Audit Risk Assessment use?
About 1.5k tokens (SKILL.md is roughly 6.1k 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 2.1k tokens, read only when the agent opens those files.
What are the alternatives to Audit Risk Assessment?
Skills that share tags, products or a category with Audit 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.
Who maintains Audit Risk Assessment?
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.