privacy-first

privacy-first is a skill for Claude Code, Codex from d-o-hub/github-template-ai-agents. It costs 101 tokens per session (1,177 once invoked), scanned A, original, MIT.

A privacy check that looks for email addresses and other personal information in source code, configuration, and documentation.

In plain words
What is it for?
It checks files before they are written or during reviews and suggests alternatives such as linking to GitHub Issues instead of publishing an email address.
Why use it?
It helps prevent personal data from being committed to the codebase or shared through project files.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code; installed under .agents/ (shared by several agents); mentions OpenCode.

Good fit It checks files before they are written or during reviews and suggests alternatives such as linking to GitHub Issues instead of publishing an email address.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/d-o-hub/github-template-ai-agents/privacy-first
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add d-o-hub/github-template-ai-agents --skill privacy-first
Clone the repo
git clone --depth 1 https://github.com/d-o-hub/github-template-ai-agents

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for privacy-first

README.md
[![agentmods](https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/privacy-first/github.svg)](https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/privacy-first)
Your own site
<a href="https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/privacy-first"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/privacy-first/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for privacy-first

Your own site · 80×15
<a href="https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/privacy-first"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/privacy-first.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,177 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00101 $0.01177
Opus 5.5 $0.00040 $0.00471
Sonnet 5.5 $0.00020 $0.00235
Haiku 4.5 $0.00010 $0.00118

Measured 25d ago against content hash 8c5121da248f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

privacy-first scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 25d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/privacy-first/SKILL.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Privacy First

This skill ensures no email addresses or personal data leak into the codebase. It provides detection, prevention, and automated checking.

When to Use

  • User asks: "prevent emails", "remove personal data", "privacy check", "never use email"
  • Before writing any new code, config, or documentation file
  • During code review or quality gate checks
  • When adding contact information to any file

Agent Workflow

1. Before Writing Any File

Before creating or editing any file, check for email patterns:

# Scan the file being edited for email patterns
grep -E '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}' <file> || true

2. Replacement Rules

Context Instead of Use
Author/contact [email protected] GitHub Issues link
Support [email protected] https://github.com/owner/repo/issues
Code of Conduct [email protected] "Report via GitHub Issues"
Package metadata email = "..." Remove email field entirely
Examples [email protected] Test domain: [email protected] (only in tests)

3. File-Type Specific Rules

Python (pyproject.toml, setup.py)

# Bad
authors = [{name = "Author", email = "[email protected]"}]

# Good
authors = [{name = "Author"}]

Markdown (README.md, CONTRIBUTING.md)

<!-- Bad -->
Contact: [email protected]

<!-- Good -->
Report issues: https://github.com/owner/repo/issues

Configuration files

  • Never add email fields
  • Use URLs to GitHub instead

4. Exceptions (Allowed)

The following are permitted and should NOT be flagged:

  • Test data in tests/ directories using standard test domains:
    • example.com, example.org, test.com, localhost
  • URLs in documentation pointing to external services
  • Git history (cannot modify)
  • Skill reference files with generic examples (for demonstration)

Quality Gate Integration

To add automated checks to pre-commit or CI:

# Add to scripts/quality_gate.sh or .pre-commit-config.yaml

# Scan for email patterns (exclude test data and git)
EMAIL_PATTERN='[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}'

# Exclude patterns (test domains, git, node_modules)
EXCLUDE_PATTERN='example\.com|example\.org|test\.com|\.git|node_modules'

# Check source files
if grep -rE "$EMAIL_PATTERN" --include="*.py" --include="*.toml" --include="*.yaml" --include="*.json" --include="*.md" . 2>/dev/null | grep -vE "$EXCLUDE_PATTERN"; then
    echo "ERROR: Email address detected in codebase"
    exit 1
fi

Read the full file on GitHub · 147 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 25d ago Changed · -3 tokens per session 8c5121da248f
  2. 1mo ago First seen · 147 lines · 104 tokens per session scan A fc0ac31b9fea

Subscribe to this mod's changes

privacy-first is a skill published in the GitHub repository d-o-hub/github-template-ai-agents (2 stars, last pushed yesterday), licensed MIT. It adds 101 tokens to every session and 1,177 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.