Agent skill

Privacy Mask

by sickn33 in sickn33/agentic-awesome-skills

Mask, redact, anonymize and censor sensitive information (PII) in screenshots and images — phone numbers, emails, IDs, API keys, crypto wallets, credit cards, passwords, and more.

MITAuto-check passed

Install Privacy Mask

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill privacy-mask -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills privacy-mask --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/privacy-mask .claude/skills/privacy-mask && rm -rf skills-src

Use ~/.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/

Facts

Skill name
privacy-mask
GitHub stars
47k
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
459 words
Files
1
Skills in repo
1,497
Repo updated
First seen
Licence
MIT

At a glance

Mask, redact, anonymize and censor sensitive information (PII) in screenshots and images — phone numbers, emails, IDs, API keys, crypto wallets, credit cards, passwords, and more.

  • Works in 4 steps: Install via pip: pip install privacy-mask → Ensure Tesseract OCR is installed: brew… → Verify installation: privacy-mask… → …
  • SKILL.md covers Prerequisites, When to use, Usage and What it detects, plus 4 more sections
  • Calls pip, brew and apt

What it does

Privacy Mask is an agent skill from sickn33/agentic-awesome-skills. Mask, redact, anonymize and censor sensitive information (PII) in screenshots and images — phone numbers, emails, IDs, API keys, crypto wallets, credit cards, passwords, and more.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

Example prompts

  • “/privacy-mask”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Install via pip: pip install privacy-mask
  2. Ensure Tesseract OCR is installed: brew install tesseract (macOS) or apt install tesseract-ocr (Linux)
  3. Verify installation: privacy-mask --version
  4. (Optional) Install NER support: pip install privacy-mask[ner]

What it can do on your machine

Read from SKILL.md and the folder at commit b84d35a. 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

    Shell commands in SKILL.md call:

    • pip
    • brew
    • apt

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    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

Privacy Mask loads about 1.1k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 459 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit b84d35a, republished under its MIT licence (© sickn33). 459 words, ~1,090 tokens.

Download SKILL.mdSave it as .claude/skills/privacy-mask/SKILL.md (or your agent's skills folder).
name
privacy-mask
description
Mask, redact, anonymize and censor sensitive information (PII) in screenshots and images — phone numbers, emails, IDs, API keys, crypto wallets, credit cards, passwords, and more.
risk
critical
source
https://github.com/fullstackcrew-alpha/privacy-mask/tree/main/
source_repo
fullstackcrew-alpha/privacy-mask
source_type
community
date_added
2026-07-01
license
MIT
license_source
https://github.com/fullstackcrew-alpha/privacy-mask/blob/main/LICENSE

Privacy Mask

Detect and mask sensitive information in images locally before they leave your machine.

Prerequisites

This skill requires the privacy-mask CLI to be pre-installed on the system. If it is not available, inform the user that they need to install it first:

  1. Install via pip: pip install privacy-mask
  2. Ensure Tesseract OCR is installed: brew install tesseract (macOS) or apt install tesseract-ocr (Linux)
  3. Verify installation: privacy-mask --version
  4. (Optional) Install NER support: pip install privacy-mask[ner]

When to use

  • User sends a screenshot or image file (.png, .jpg, .jpeg, .bmp, .tiff) that may contain private data
  • User mentions privacy, masking, redacting, or anonymizing
  • You need to analyze an image but want to redact sensitive info first
  • IF the user shares a screenshot for debugging, THEN run privacy-mask mask <path> --dry-run first to check for PII
  • IF detections are found, THEN mask the image before proceeding with analysis

Usage

Mask an image:

bash
privacy-mask mask /path/to/screenshot.png
privacy-mask mask /path/to/screenshot.png --in-place
privacy-mask mask /path/to/screenshot.png --dry-run   # detect only, no masking
privacy-mask mask /path/to/screenshot.png --detection-engine regex  # regex only, skip NER
privacy-mask mask /path/to/screenshot.png --config /path/to/custom-config.json

Output is JSON:

json
{
  "status": "success",
  "detections": [{"label": "PHONE_CN", "text": "***", "bbox": [10, 20, 100, 30]}],
  "summary": "Masked 1 regions: 1 PHONE_CN"
}
Example workflow
  1. User provides a screenshot: ~/Desktop/error-screenshot.png
  2. Run detection: privacy-mask mask ~/Desktop/error-screenshot.png --dry-run
  3. IF detections found, mask the image: privacy-mask mask ~/Desktop/error-screenshot.png
  4. The masked output is saved as ~/Desktop/error-screenshot_masked.png
  5. Use the masked image for further analysis

What it detects

  • IDs: Chinese ID card, passport, HK/TW ID, US SSN, UK NINO, Canadian SIN, Indian Aadhaar/PAN, Korean RRN, Singapore NRIC, Malaysian IC
  • Phone: Chinese mobile/landline, US phone, international (+prefix)
  • Financial: Bank card, Amex, IBAN, SWIFT/BIC
  • Developer keys: AWS, GitHub, Slack, Google, Stripe tokens, JWT, connection strings, API keys, SSH/PEM keys
  • Crypto: Bitcoin, Ethereum wallet addresses
  • Other: Email, birthday, IP/IPv6, MAC, UUID, license plate, MRZ, URL auth tokens
  • NER (optional): Person names, street addresses, organizations, dates of birth, medical conditions
Show full SKILL.md (181 more words)Show less

Constraints

  • Do NOT send unmasked images to any external API or cloud service
  • Do NOT skip masking when detections are found — always mask before sharing
  • Do NOT modify the original image unless --in-place is explicitly requested
  • Avoid running on very large images (>10MB) without warning the user about processing time

Anti-patterns

  • Don't assume images are safe — always run detection even if the image "looks clean"
  • Don't use --in-place by default — preserve the original unless the user asks otherwise
  • Don't ignore dry-run results — if --dry-run finds PII, the image must be masked before use
  • Don't hardcode config paths — use the bundled default or let the user specify --config

Important

  • All processing is local and offline — no data leaves the machine
  • Configure rules in the bundled config.json or pass --config for custom rules

Limitations

  • Use this skill only when the task clearly matches its upstream source and local project context.
  • Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
  • Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/privacy-mask of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit b84d35a

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Privacy Mask 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.

Privacy Mask compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Privacy Mask this skillsickn33/agentic-awesome-skills47k1 repos~1.1kAutomated safety check: PassMIT
Privacy Policythedaviddias/Front-End-Checklist74k—~617Automated safety check: PassMIT
Pii Detectruvnet/ruflo74k—~350Automated safety check: NotesMIT
Privacy Policyphuryn/pm-skills27k—~2.7kAutomated safety check: PassMIT
Performing Privacy Impact Assessmentmukul975/Anthropic-Cybersecurity-Skills34k—~2.6kAutomated safety check: PassApache-2.0
Scanning For Data Privacy Issuesjeremylongshore/tons-of-skills-marketplace2.8k—~1.7kAutomated safety check: PassMIT

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  • Privacy Policy

    thedaviddias/Front-End-Checklist

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    74k GitHub stars~617 tokensUpdated 4 days ago
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    34k GitHub stars~2.6k tokensUpdated 1 mo ago
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  • Scanning For Data Privacy Issues

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  • Has Anonymizer

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Questions about Privacy Mask

What does Privacy Mask do?

Mask, redact, anonymize and censor sensitive information (PII) in screenshots and images — phone numbers, emails, IDs, API keys, crypto wallets, credit cards, passwords, and more. Privacy Mask is an agent skill from sickn33/agentic-awesome-skills. Mask, redact, anonymize and censor sensitive information (PII) in screenshots and images — phone numbers, emails, IDs, API keys, crypto wallets, credit cards, passwords, and more.

How do I install Privacy Mask in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill privacy-mask -a claude-code`. Or copy the skill folder (skills/privacy-mask in sickn33/agentic-awesome-skills) into .claude/skills/privacy-mask in your project. Claude Code loads it when a task matches its description.

How do I install Privacy Mask in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill privacy-mask -a codex`. Or copy the skill folder (skills/privacy-mask in sickn33/agentic-awesome-skills) into .agents/skills/privacy-mask in your project. Codex loads it when a task matches its description.

Can I use Privacy Mask 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 sickn33/agentic-awesome-skills --skill privacy-mask -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/privacy-mask, .gemini/skills/privacy-mask, .github/skills/privacy-mask and .opencode/skills/privacy-mask in your project.

What does Privacy Mask need to run?

Going by SKILL.md and its folder, Privacy Mask needs the command-line tools its instructions call (pip, brew and apt). Our summary lists: Python 3.

Does Privacy Mask access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Privacy Mask 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. Review the folder before installing.

What licence does Privacy Mask use?

Privacy Mask is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Privacy Mask use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Privacy Mask?

Skills that share tags, products or a category with Privacy Mask: Privacy Policy (thedaviddias/Front-End-Checklist, 74k stars), Pii Detect (ruvnet/ruflo, 74k stars), Privacy Policy (phuryn/pm-skills, 27k stars) and Performing Privacy Impact Assessment (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Privacy Mask?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.