C15t
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Work with c15t consent management docs, APIs, and integrations for Next.js, React, and JavaScript.
Implement the NIST Privacy Framework IDENTIFY function including ID.BE business environment, ID.DA data actions, ID.IM improvement, and ID.RA risk assessment subcategories.
Install Nist Pf Identify
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill nist-pf-identify -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills nist-pf-identify --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/nist-pf-identify .claude/skills/nist-pf-identify && 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 "nist-pf-identify" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/nist-pf-identify into .claude/skills/nist-pf-identify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nist-pf-identify", 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/nist-pf-identifyType 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 nist-pf-identify -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills nist-pf-identify --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/nist-pf-identify .agents/skills/nist-pf-identify && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nist-pf-identify" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/nist-pf-identify into .agents/skills/nist-pf-identify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nist-pf-identify", 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 nist-pf-identify -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills nist-pf-identify --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/nist-pf-identify .cursor/skills/nist-pf-identify && 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 "nist-pf-identify" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/nist-pf-identify into .cursor/skills/nist-pf-identify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nist-pf-identify", 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/nist-pf-identify--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 nist-pf-identify -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills nist-pf-identify --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/nist-pf-identify .gemini/skills/nist-pf-identify && 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 "nist-pf-identify" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/nist-pf-identify into .gemini/skills/nist-pf-identify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nist-pf-identify", 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 nist-pf-identifyInstalls 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 nist-pf-identify -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/nist-pf-identify .github/skills/nist-pf-identify && 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 "nist-pf-identify" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/nist-pf-identify into .github/skills/nist-pf-identify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nist-pf-identify", 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 nist-pf-identify -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 nist-pf-identify --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/nist-pf-identify .opencode/skills/nist-pf-identify && 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 "nist-pf-identify" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/nist-pf-identify into .opencode/skills/nist-pf-identify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nist-pf-identify", 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
nist-pf-identify- GitHub stars
- 301
- Token cost
- ~1.9k tokens
- SKILL.md length
- 818 words
- Files
- 5 (incl. scripts, references, assets)
- Skills in repo
- 280
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Implement the NIST Privacy Framework IDENTIFY function including ID.BE business environment, ID.DA data actions, ID.IM improvement, and ID.RA risk assessment subcategories.
- Works in 4 steps: Inventory and Discovery (Weeks 1-4) → Data Action Analysis (Weeks 5-8) → Risk Assessment (Weeks 9-12) → …
- Tasks that involve Privacy and GDPR
- SKILL.md covers Overview, IDENTIFY Function Subcategories, Implementation Workflow and Control Mapping to Other…, plus 2 more sections
- Runs Python scripts from its folder
What it does
Nist Pf Identify is an agent skill from mukul975/Privacy-Data-Protection-Skills. Implement the NIST Privacy Framework IDENTIFY function including ID.BE business environment, ID.DA data actions, ID.IM improvement, and ID.RA risk assessment subcategories. Provides control mapping, gap analysis templates, and implementation workflows for privacy risk identification.
Its SKILL.md is about 1.9k 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.
When your agent uses it
- Tasks that involve Privacy and GDPR
Example prompts
- “/nist-pf-identify”
Requirements
- Python 3
Workflow steps
4 steps, taken from the step headings in SKILL.md.
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
Nist Pf Identify loads about 1.9k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 818 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). 818 words, ~1,900 tokens.
Download SKILL.mdSave it as
.claude/skills/nist-pf-identify/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- nist-pf-identify
- description
- Implement the NIST Privacy Framework IDENTIFY function including ID.BE business environment, ID.DA data actions, ID.IM improvement, and ID.RA risk assessment subcategories. Provides control mapping, gap analysis templates, and implementation workflows for privacy risk identification.
- license
- Apache-2.0
- metadata.author
- mukul975
- metadata.version
- 1.0
- metadata.domain
- privacy
- metadata.subdomain
- privacy-engineering
- metadata.tags
- nist-privacy-framework, identify-function, privacy-risk-assessment, data-actions, business-environment
NIST Privacy Framework — IDENTIFY Function
Overview
The IDENTIFY function in the NIST Privacy Framework (Version 1.0, January 2020) enables organizations to develop organizational understanding of privacy risk arising from data processing. This skill covers all four subcategories: Business Environment (ID.BE), Data Actions (ID.DA), Improvement (ID.IM), and Risk Assessment (ID.RA).
IDENTIFY Function Subcategories
ID.BE — Business Environment
Understanding the organization's mission, objectives, stakeholders, and activities to prioritize privacy risk management decisions.
| Subcategory | Description | Implementation Guidance |
|---|---|---|
| ID.BE-P1 | The organization's role(s) in the data processing ecosystem are identified and communicated | Document whether the organization acts as data controller, processor, or both. Map all data flows identifying organizational role at each stage. |
| ID.BE-P2 | Priorities for organizational mission, objectives, and activities are established and communicated | Align privacy objectives with business strategy. Ensure executive leadership endorses privacy as a business priority. |
| ID.BE-P3 | Systems/products/services that process data are identified and prioritized | Maintain an inventory of all systems processing personal data. Classify by risk tier based on data sensitivity and volume. |
ID.DA — Data Actions
Understanding the data actions the organization performs and associated privacy risks.
| Subcategory | Description | Implementation Guidance |
|---|---|---|
| ID.DA-P1 | A data processing ecosystem inventory is created and maintained | Catalog all data processing activities including collection points, storage locations, sharing partners, and retention periods. |
| ID.DA-P2 | Owners of data actions are identified | Assign clear ownership for each data processing activity. Document accountability chains from operational to executive level. |
| ID.DA-P3 | Problematic data actions are identified and prioritized for management | Use the NIST problematic data actions catalog to assess risk. Score based on likelihood and impact to individuals. |
ID.IM — Improvement
Continuous improvement of privacy risk management.
| Subcategory | Description | Implementation Guidance |
|---|---|---|
| ID.IM-P1 | A process for continuous improvement of the privacy risk assessment approach is established | Schedule quarterly reviews of risk methodology. Incorporate lessons from incidents and regulatory developments. |
| ID.IM-P2 | Privacy risk assessment findings are incorporated into improvement plans | Track remediation actions in a centralized register. Assign deadlines and owners for each improvement item. |
ID.RA — Risk Assessment
Understanding and evaluating privacy risks.
| Subcategory | Description | Implementation Guidance |
|---|---|---|
| ID.RA-P1 | Data actions and their expected problematic data actions are identified | Map each data action to potential problematic outcomes using NIST's catalog of problematic data actions. |
| ID.RA-P2 | Organizational systems, products, and services are monitored for problematic data actions | Deploy continuous monitoring for unauthorized access, unexpected data flows, and policy violations. |
| ID.RA-P3 | Risk responses are identified and prioritized | Define response strategies: mitigate, transfer, avoid, or accept. Document rationale for each risk response decision. |
Implementation Workflow
Phase 1: Inventory and Discovery (Weeks 1-4)
- Stakeholder Identification: Identify all internal and external stakeholders involved in data processing
- System Inventory: Catalog all systems, applications, and services that process personal data
- Data Flow Mapping: Document how data moves through the organization from collection to deletion
- Role Classification: Determine the organization's role (controller/processor) for each data processing activity
Show full SKILL.md (351 more words)Show less
Phase 2: Data Action Analysis (Weeks 5-8)
- Data Action Catalog: Document all data actions (collection, retention, logging, generation, disclosure, transfer)
- Ownership Assignment: Assign data stewards for each data action category
- Problematic Data Action Screening: Evaluate each data action against NIST's problematic data actions list
- Impact Assessment: Score each problematic data action on likelihood and severity scales (1-5)
Phase 3: Risk Assessment (Weeks 9-12)
- Risk Scoring: Calculate risk scores as Likelihood x Impact for each identified problematic data action
- Risk Prioritization: Rank risks and identify those exceeding organizational risk tolerance
- Response Planning: Select and document risk response strategies for each high-priority risk
- Control Mapping: Map existing and planned controls to identified risks
Phase 4: Continuous Improvement (Ongoing)
- Quarterly Reviews: Reassess risk landscape and update risk register
- Incident Integration: Incorporate findings from privacy incidents into risk assessments
- Regulatory Monitoring: Track changes in applicable privacy regulations
- Metrics Tracking: Monitor key risk indicators and report to governance bodies
Control Mapping to Other Frameworks
| NIST PF IDENTIFY | ISO 27701 | GDPR Article | CCPA Section |
|---|---|---|---|
| ID.BE-P1 | 5.2.1 | Art. 24, 26, 28 | 1798.140(d),(v) |
| ID.BE-P2 | 5.2.2 | Art. 5(2) | 1798.100 |
| ID.BE-P3 | A.7.2.1 | Art. 30 | 1798.110 |
| ID.DA-P1 | A.7.2.8 | Art. 30(1) | 1798.110(c) |
| ID.DA-P2 | 5.3 | Art. 37-39 | 1798.130 |
| ID.DA-P3 | A.7.2.5 | Art. 35 | 1798.185 |
| ID.RA-P1 | 6.1.2 | Art. 35(7) | 1798.185(a)(15) |
| ID.RA-P2 | 9.1 | Art. 32(1)(d) | 1798.150 |
| ID.RA-P3 | 6.1.3 | Art. 35(7)(d) | 1798.185(a)(15) |
Maturity Assessment
Level 1 — Initial
- Ad hoc privacy risk identification
- No formal inventory of data processing activities
- Reactive approach to privacy issues
Level 2 — Managed
- Basic data inventory exists
- Some data actions documented
- Risk assessments conducted periodically
Level 3 — Defined
- Comprehensive data processing inventory maintained
- All data actions cataloged with owners
- Structured risk assessment process in place
Level 4 — Quantitatively Managed
- Metrics-driven risk assessment
- Automated monitoring of data actions
- Quantitative risk scoring methodology
Level 5 — Optimizing
- Continuous improvement process embedded
- Predictive risk analytics
- Industry-leading privacy risk management practices
References
- NIST Privacy Framework Version 1.0 (January 16, 2020)
- NIST SP 800-37 Rev. 2 — Risk Management Framework
- NIST IR 8062 — An Introduction to Privacy Engineering and Risk Management in Federal Systems
- ISO/IEC 27701:2019 — Privacy Information Management
© 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/nist-pf-identify 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
Nist Pf Identify 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 |
|---|---|---|---|---|---|---|
| Nist Pf Identify this skillmukul975/Privacy-Data-Protection-Skills | 301 | — | ~1.9k | 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 Nist Pf Identify
What does Nist Pf Identify do?
Implement the NIST Privacy Framework IDENTIFY function including ID.BE business environment, ID.DA data actions, ID.IM improvement, and ID.RA risk assessment subcategories. Nist Pf Identify is an agent skill from mukul975/Privacy-Data-Protection-Skills.RA risk assessment subcategories.
When should I use Nist Pf Identify?
Nist Pf Identify fits situations like: tasks that involve Privacy and GDPR.
How do I install Nist Pf Identify in Claude Code?
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill nist-pf-identify -a claude-code`. Or copy the skill folder (skills/privacy/nist-pf-identify in mukul975/Privacy-Data-Protection-Skills) into .claude/skills/nist-pf-identify in your project. Claude Code loads it when a task matches its description.
How do I install Nist Pf Identify in Codex?
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill nist-pf-identify -a codex`. Or copy the skill folder (skills/privacy/nist-pf-identify in mukul975/Privacy-Data-Protection-Skills) into .agents/skills/nist-pf-identify in your project. Codex loads it when a task matches its description.
Can I use Nist Pf Identify 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 nist-pf-identify -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nist-pf-identify, .gemini/skills/nist-pf-identify, .github/skills/nist-pf-identify and .opencode/skills/nist-pf-identify in your project.
What does Nist Pf Identify need to run?
Going by SKILL.md and its folder, Nist Pf Identify needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Nist Pf Identify 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 Nist Pf Identify 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 Nist Pf Identify use?
Nist Pf Identify 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 Nist Pf Identify use?
About 1.9k tokens (SKILL.md is roughly 7.6k 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 1.5k tokens, read only when the agent opens those files.
What are the alternatives to Nist Pf Identify?
Skills that share tags, products or a category with Nist Pf Identify: 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 Nist Pf Identify?
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.