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refraction-ray/xalpha
Turn a natural-language financial question into a polished, self-contained HTML report.
Implements data classification labels and tagging systems including metadata tagging, DLP integration, automated label propagation, user-applied labels, and label inheritance rules.
Install Data Labeling System
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill data-labeling-system -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills data-labeling-system --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/data-labeling-system .claude/skills/data-labeling-system && 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 "data-labeling-system" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/data-labeling-system into .claude/skills/data-labeling-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-labeling-system", 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/data-labeling-systemType 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 data-labeling-system -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills data-labeling-system --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/data-labeling-system .agents/skills/data-labeling-system && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "data-labeling-system" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/data-labeling-system into .agents/skills/data-labeling-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-labeling-system", 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 data-labeling-system -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills data-labeling-system --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/data-labeling-system .cursor/skills/data-labeling-system && 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 "data-labeling-system" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/data-labeling-system into .cursor/skills/data-labeling-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-labeling-system", 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/data-labeling-system--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 data-labeling-system -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills data-labeling-system --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/data-labeling-system .gemini/skills/data-labeling-system && 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 "data-labeling-system" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/data-labeling-system into .gemini/skills/data-labeling-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-labeling-system", 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 data-labeling-systemInstalls 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 data-labeling-system -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/data-labeling-system .github/skills/data-labeling-system && 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 "data-labeling-system" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/data-labeling-system into .github/skills/data-labeling-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-labeling-system", 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 data-labeling-system -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 data-labeling-system --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/data-labeling-system .opencode/skills/data-labeling-system && 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 "data-labeling-system" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/data-labeling-system into .opencode/skills/data-labeling-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-labeling-system", 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
data-labeling-system- GitHub stars
- 295
- Token cost
- ~2.8k tokens
- SKILL.md length
- 952 words
- Files
- 5 (incl. scripts, references, assets)
- Skills in repo
- 278
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Implements data classification labels and tagging systems including metadata tagging, DLP integration, automated label propagation, user-applied labels, and label inheritance rules.
- Tasks that involve Data cleaning
- SKILL.md covers Overview, Label Taxonomy, Microsoft Purview… and User-Applied Labelling, plus 4 more sections
- Runs Python scripts from its folder
- Tasks that involve Privacy and GDPR
What it does
Data Labeling System is an agent skill from mukul975/Privacy-Data-Protection-Skills. Implements data classification labels and tagging systems including metadata tagging, DLP integration, automated label propagation, user-applied labels, and label inheritance rules. Covers Microsoft Purview sensitivity labels and enterprise labeling architecture. Keywords: data labeling, sensitivity labels, metadata tagging, DLP integration, label propagation, Purview, classification.
Its SKILL.md is about 2.8k 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 Data & Analytics, covering Data cleaning and 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 Data cleaning
- Tasks that involve Privacy and GDPR
Example prompts
- “Use the data-labeling-system skill to implement data classification labels and tagging systems including metadata tagging, DLP integration…”
- “/data-labeling-system”
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
Data Labeling System loads about 2.8k tokens when it runs, and up to ~4k if it reads all its reference files. Until then it costs about 102 tokens; SKILL.md has 952 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). 952 words, ~2,777 tokens.
Download SKILL.mdSave it as
.claude/skills/data-labeling-system/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- data-labeling-system
- description
- Implements data classification labels and tagging systems including metadata tagging, DLP integration, automated label propagation, user-applied labels, and label inheritance rules. Covers Microsoft Purview sensitivity labels and enterprise labeling architecture. Keywords: data labeling, sensitivity labels, metadata tagging, DLP integration, label propagation, Purview, classification.
- license
- Apache-2.0
- metadata.author
- mukul975
- metadata.version
- 1.0
- metadata.domain
- privacy
- metadata.subdomain
- data-classification
- metadata.tags
- data-labeling, sensitivity-labels, metadata-tagging, dlp, label-propagation, purview
Data Classification Labels and Tagging System
Overview
Data classification labels are the operational mechanism through which classification policy is enforced across the enterprise. Labels attach classification metadata to data assets — documents, emails, database records, and cloud resources — enabling automated enforcement of handling requirements through DLP policies, access controls, and encryption. This skill covers the design and implementation of a labelling system using Microsoft Purview Information Protection as the primary platform, with architecture patterns for automated labelling, user-applied labelling, label inheritance, and cross-platform propagation.
Label Taxonomy
Vanguard Financial Services Label Hierarchy
Vanguard Classification Labels
├── Public
│ └── (no sub-labels)
├── Internal
│ └── Internal - Project Confidential
├── Confidential
│ ├── Confidential - Customer Data
│ ├── Confidential - Employee Data
│ ├── Confidential - Financial Data
│ └── Confidential - Legal
└── Restricted
├── Restricted - Special Category (Art. 9)
├── Restricted - Criminal Data (Art. 10)
├── Restricted - AML Investigation
└── Restricted - Board & StrategyLabel Properties
| Label | Colour | Visual Marking | Encryption | DLP Policy | Auto-Apply |
|---|---|---|---|---|---|
| Public | Green | Footer: "Vanguard Financial Services — Public" | None | None | No |
| Internal | Blue | Footer: "Vanguard Financial Services — Internal Use Only" | Optional | Warn on external | No |
| Confidential | Amber | Header + Footer: "CONFIDENTIAL" | Azure RMS (AES-256) | Warn + audit external; block personal email | Yes (when PII detected with >85% confidence) |
| Restricted | Red | Header + Footer: "RESTRICTED" with red background; watermark on print | Azure RMS (AES-256, double key encryption) | Block all external; block USB/print; alert DPO | Yes (when Art. 9/Art. 10 data detected with >85% confidence) |
Microsoft Purview Implementation Architecture
Component Architecture
┌─────────────────────────────────────────────────────────────────┐
│ Microsoft Purview │
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────────────┐ │
│ │ Sensitivity │ │ Auto-labelling│ │ DLP Policies │ │
│ │ Labels │ │ Policies │ │ (endpoint, email, │ │
│ │ (definitions) │ │ (rules) │ │ SharePoint, Teams) │ │
│ └──────┬───────┘ └──────┬───────┘ └──────────┬───────────┘ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ ┌──────────────────────────────────────────────────────────┐ │
│ │ Unified Label Application Engine │ │
│ └──────────────────────────────────────────────────────────┘ │
│ │ │ │ │
└─────────┼──────────────────┼──────────────────────┼──────────────┘
▼ ▼ ▼
┌─────────────┐ ┌──────────────┐ ┌──────────────────────┐
│ Office Apps │ │ SharePoint/ │ │ Endpoint DLP │
│ (Word, Excel,│ │ OneDrive │ │ (Windows devices) │
│ Outlook) │ │ │ │ │
└─────────────┘ └──────────────┘ └──────────────────────┘Auto-Labelling Configuration
Policy 1: Confidential — Customer PII Detection
| Setting | Value |
|---|---|
| Policy Name | VFS-AutoLabel-Confidential-CustomerPII |
| Scope | All SharePoint sites, OneDrive accounts, Exchange mailboxes |
| Conditions | Content contains ANY of: UK National Insurance Number (HIGH confidence), IBAN (HIGH), Vanguard Account Number (HIGH), Credit Card (HIGH + Luhn validated) |
| Minimum count | 1 instance of any SIT at HIGH confidence |
| Label applied | Confidential - Customer Data |
| Priority | 2 (overridden by Restricted auto-label) |
Policy 2: Restricted — Special Category Detection
| Setting | Value |
|---|---|
| Policy Name | VFS-AutoLabel-Restricted-SpecialCategory |
| Scope | All SharePoint sites, OneDrive accounts, Exchange mailboxes |
| Conditions | Content contains ANY of: ICD-10 codes (MEDIUM+), health terminology trainable classifier (HIGH), biometric template format detection, genetic marker patterns |
| Minimum count | 1 instance at MEDIUM confidence or above |
| Label applied | Restricted - Special Category (Art. 9) |
| Priority | 1 (highest priority — overrides all other auto-labels) |
Policy 3: Restricted — Criminal Data Detection
| Setting | Value |
|---|---|
| Policy Name | VFS-AutoLabel-Restricted-CriminalData |
| Scope | HR SharePoint sites, Compliance SharePoint sites |
| Conditions | Content contains: DBS reference patterns, criminal conviction terminology, SAR reference numbers |
| Label applied | Restricted - Criminal Data (Art. 10) |
| Priority | 1 |
Label Inheritance Rules
| Rule | Description | Implementation |
|---|---|---|
| Container inheritance | Items in a labelled SharePoint site inherit the site's label as minimum | Site sensitivity label propagates to new items; existing items retain higher label |
| Email attachment inheritance | Attachments inherit the email's label if attachment label is lower | Outlook plugin checks attachment label vs email label on send |
| Parent-child inheritance | Child documents inherit parent folder label as minimum | SharePoint library policy; items cannot be labelled below folder label |
| No downgrade without approval | Users cannot remove or downgrade labels without justification | Label policy: require justification text for downgrade; audit log entry |
| Highest label wins | When documents are merged or combined, the highest label applies | User training + DLP monitoring for combined documents |
User-Applied Labelling
Labelling Responsibilities
| Scenario | Who Labels | How |
|---|---|---|
| New document creation | Author | Select label from Office ribbon (Word, Excel, PowerPoint) |
| New email composition | Sender | Select label from Outlook toolbar; mandatory before sending external |
| File upload to SharePoint | Uploader | Label prompt on upload if no label detected |
| Data export from system | Exporter | Label selection required before export completes |
| Physical document printing | Printer | Classification header/footer printed automatically; user selects tier if not auto-labelled |
Show full SKILL.md (413 more words)Show less
Mandatory Labelling Policy
| Setting | Value |
|---|---|
| Require label on documents | Yes — all Word, Excel, PowerPoint documents must have a label before save |
| Require label on emails | Yes — for emails to external recipients; recommended for internal |
| Default label | Internal (applied if user does not select; user can override up or down) |
| Justification for downgrade | Required — user must enter text justification; logged in audit |
| Justification for removal | Required — DPO-approved exception only |
DLP Integration
DLP Policy Matrix
| Label | External Email | USB/Removable | Screenshot | Cloud Upload | |
|---|---|---|---|---|---|
| Public | Allow | Allow | Allow | Allow | Allow |
| Internal | Warn | Warn | Allow | Allow | Block (non-approved cloud) |
| Confidential | Warn + audit | Block | Secure print | Allow (watermarked) | Block |
| Restricted | Block | Block | Block (unless DPO approved) | Block | Block |
DLP Alert Routing
| Alert Severity | Label Trigger | Routing |
|---|---|---|
| Low | Internal label — external email warn overridden | Security team email |
| Medium | Confidential label — external sharing attempted | Security team + Data Owner |
| High | Restricted label — any policy trigger | DPO + CISO + immediate investigation |
| Critical | Restricted label — data exfiltration indicators | DPO + CISO + Incident Response Team + 15-minute SLA |
Label Propagation Across Platforms
Supported Platforms
| Platform | Label Method | Propagation |
|---|---|---|
| Microsoft 365 (Word, Excel, PowerPoint) | Native sensitivity label in file metadata | Full support — label travels with file |
| Outlook / Exchange | Email header X-MS-Exchange-Organization-Classification | Label persists in message store and forwarded copies |
| SharePoint Online | Document library metadata + file metadata | Dual storage — library and file level |
| OneDrive for Business | File metadata | Same as SharePoint |
| Teams | Channel/chat message metadata | Limited — file attachments inherit, message labels in compliance |
| PDF export | Visual marking (header/footer) + XMP metadata | Visual marking persists; metadata depends on PDF viewer |
| Azure SQL Database | Column-level sensitivity classification (sys.sensitivity_classifications) | Native Azure SQL feature; integrates with Purview |
| AWS S3 | Object tags (key: classification, value: tier) | AWS-native tagging; read by Macie and IAM policies |
| On-premises file shares | File metadata (NTFS ADS) via AIP Unified Labelling client | Requires AIP client installed on endpoints |
Enforcement Precedents
- ICO v Interserve Group (2022): GBP 4.4 million — failure to implement adequate data classification and labelling contributed to staff not recognising the sensitivity of data compromised in a breach
- CNIL v Free Mobile (2022): EUR 300,000 — customer personal data stored without classification or access controls; staff could access all customer data regardless of role or need
Integration Points
- classification-policy: Labelling system is the technical implementation of the classification policy
- auto-data-discovery: Discovery results trigger auto-labelling for newly detected PII
- pii-in-unstructured: PII detection in documents drives label recommendation or auto-application
- data-inventory-mapping: Labels feed the data inventory with current classification status per asset
- data-lineage-tracking: Labels propagate through data lineage — transformed data inherits source label
© 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/data-labeling-system 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
Data Labeling System 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 |
|---|---|---|---|---|---|---|
| Data Labeling System this skillmukul975/Privacy-Data-Protection-Skills | 295 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Question2reportrefraction-ray/xalpha | 2.7k | — | ~3.2k | Automated safety check: Pass | MIT | |
| Dingo VerifyMigoXLab/dingo | 757 | — | ~741 | Automated safety check: Notes | Apache-2.0 | |
| Data Validationplatonai/Browser4 | 1.2k | — | ~896 | Automated safety check: Pass | Apache-2.0 | |
| Issues DeduplicationJetBrains/ideavim | 10k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Pandas ProJeffallan/claude-skills | 12k | 1 repos | ~1.5k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Data Labeling System
What does Data Labeling System do?
Implements data classification labels and tagging systems including metadata tagging, DLP integration, automated label propagation, user-applied labels, and label inheritance rules. Data Labeling System is an agent skill from mukul975/Privacy-Data-Protection-Skills. Implements data classification labels and tagging systems including metadata tagging, DLP integration, automated label propagation, user-applied labels, and label inheritance rules.
When should I use Data Labeling System?
Data Labeling System fits situations like: tasks that involve Data cleaning; tasks that involve Privacy and GDPR.
How do I install Data Labeling System in Claude Code?
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill data-labeling-system -a claude-code`. Or copy the skill folder (skills/privacy/data-labeling-system in mukul975/Privacy-Data-Protection-Skills) into .claude/skills/data-labeling-system in your project. Claude Code loads it when a task matches its description.
How do I install Data Labeling System in Codex?
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill data-labeling-system -a codex`. Or copy the skill folder (skills/privacy/data-labeling-system in mukul975/Privacy-Data-Protection-Skills) into .agents/skills/data-labeling-system in your project. Codex loads it when a task matches its description.
Can I use Data Labeling System 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 data-labeling-system -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-labeling-system, .gemini/skills/data-labeling-system, .github/skills/data-labeling-system and .opencode/skills/data-labeling-system in your project.
What does Data Labeling System need to run?
Going by SKILL.md and its folder, Data Labeling System needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Data Labeling System 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 Data Labeling System 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 Data Labeling System use?
Data Labeling System 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 Data Labeling System use?
About 2.8k tokens (SKILL.md is roughly 11k 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 1.2k tokens, read only when the agent opens those files.
What are the alternatives to Data Labeling System?
Skills that share tags, products or a category with Data Labeling System: Question2report (refraction-ray/xalpha, 2.7k stars), Dingo Verify (MigoXLab/dingo, 757 stars), Data Validation (platonai/Browser4, 1.2k stars) and Issues Deduplication (JetBrains/ideavim, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Labeling System?
mukul975 (a GitHub user) maintains it in mukul975/Privacy-Data-Protection-Skills, which has 295 GitHub stars. The repository holds 278 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.