repomix-safe-mixer▌
daymade/claude-code-skills · updated May 6, 2026
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Safely package codebases with repomix by automatically detecting and removing hardcoded credentials.
Repomix Safe Mixer
Overview
Safely package codebases with repomix by automatically detecting and removing hardcoded credentials.
This skill prevents accidental credential exposure when packaging code with repomix. It scans for hardcoded secrets (API keys, database credentials, tokens), reports findings, and ensures safe packaging.
When to use: When packaging code with repomix for distribution, creating shareable reference packages, or whenever security concerns exist about hardcoded credentials in code.
Core Workflow
Standard Safe Packaging
Use safe_pack.py from this skill's scripts/ directory for the complete workflow: scan → report → pack.
python3 scripts/safe_pack.py <directory>
What it does:
- Scans directory for hardcoded credentials
- Reports findings with file/line details
- Blocks packaging if secrets found
- Packs with repomix only if scan is clean
Example:
python3 scripts/safe_pack.py ./my-project
Output if clean:
🔍 Scanning ./my-project for hardcoded secrets...
✅ No secrets detected!
📦 Packing ./my-project with repomix...
✅ Packaging complete!
Package is safe to distribute.
Output if secrets found:
🔍 Scanning ./my-project for hardcoded secrets...
⚠️ Security Scan Found 3 Potential Secrets:
🔴 supabase_url: 1 instance(s)
- src/client.ts:5
Match: https://ghyttjckzmzdxumxcixe.supabase.co
❌ Cannot pack: Secrets detected!
Options
Custom output file:
python3 scripts/safe_pack.py \
./my-project \
--output package.xml
With repomix config:
python3 scripts/safe_pack.py \
./my-project \
--config repomix.config.json
Exclude patterns from scanning:
python3 scripts/safe_pack.py \
./my-project \
--exclude '.*test.*' '.*\.example'
Force pack (dangerous, skip scan):
python3 scripts/safe_pack.py \
./my-project \
--force # ⚠️ NOT RECOMMENDED
Standalone Secret Scanning
Use scan_secrets.py from this skill's scripts/ directory for scanning only (without packing).
python3 scripts/scan_secrets.py <directory>
Use cases:
- Verify cleanup after removing credentials
- Pre-commit security checks
- Audit existing codebases
Example:
python3 scripts/scan_secrets.py ./my-project
JSON output for programmatic use:
python3 scripts/scan_secrets.py \
./my-project \
--json
Exclude patterns:
python3 scripts/scan_secrets.py \
./my-project \
--exclude '.*test.*' '.*example.*' '.*SECURITY_AUDIT\.md'
Detected Secret Types
The scanner detects common credential patterns including:
Cloud Providers:
- AWS Access Keys (
AKIA...) - Cloudflare R2 Account IDs and Access Keys
- Supabase Project URLs and Anon Keys
API Keys:
- Stripe Keys (
sk_live_...,pk_live_...) - OpenAI API Keys (
sk-...) - Google Gemini API Keys (
AIza...) - Generic API Keys
Authentication:
- JWT Tokens (
eyJ...) - OAuth Client Secrets
- Private Keys (
-----BEGIN PRIVATE KEY-----) - Turnstile Keys (
0x...)
See references/common_secrets.md for complete list and patterns.
Handling Detected Secrets
When secrets are found:
Step 1: Review Findings
Examine each finding to verify it's a real credential (not a placeholder or example).
Step 2: Replace with Environment Variables
Before:
const SUPABASE_URL = "https://ghyttjckzmzdxumxcixe.supabase.co";
const API_KEY = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...";
After:
const SUPABASE_URL = import.meta.env.VITE_SUPABASE_URL || "https://your-project-ref.supabase.co";
const API_KEY = import.meta.env.VITE_API_KEY || "your-api-key-here";
// Validation
if (!import.meta.env.VITE_SUPABASE_URL) {
console.error("⚠️ Missing VITE_SUPABASE_URL environment variable");
}
Step 3: Create .env.example
# Example environment variables
VITE_SUPABASE_URL=https://your-project-ref.supabase.co
VITE_API_KEY=your-api-key-here
# Instructions:
# 1. Copy this file to .env
# 2. Replace placeholders with real values
# 3. Never commit .env to version control
Step 4: Verify Cleanup
Run scanner again to confirm secrets removed:
python3 scripts/scan_secrets.py ./my-project
Step 5: Safe Pack
Once clean, package safely:
python3 scripts/safe_pack.py ./my-project
Post-Exposure Actions
If credentials were already exposed (e.g., committed to git, shared publicly):
- Rotate credentials immediately - Generate new keys/tokens
- Revoke old credentials - Disable compromised credentials
- Audit usage - Check logs for unauthorized access
- Monitor - Set up alerts for unusual activity
- Update deployment - Deploy code with new credentials
- Document incident - Record what was exposed and actions taken
Common False Positives
The scanner skips common false positives:
Placeholders:
your-api-key,example-key,placeholder-value<YOUR_API_KEY>,${API_KEY},TODO: add key
Test/Example files:
- Files matching
.*test.*,.*example.*,.*sample.*
Comments:
- Lines starting with
//,#,/*,*
Environment variable references (correct usage):
process.env.API_KEYimport.meta.env.VITE_API_KEYDeno.env.get('API_KEY')
Use --exclude to skip additional patterns if needed.
Integration with Repomix
This skill works with standard repomix:
Default usage (no config):
python3 scripts/safe_pack.py ./project
With repomix config:
python3 scripts/safe_pack.py \
./project \
--config repomix.config.json
Custom output location:
python3 scripts/safe_pack.py \
./project \
--output ~/Downloads/package-clean.xml
The skill runs repomix internally after security validation, passing through config and output options.
Example Workflows
Workflow 1: Package a Clean Project
# Scan and pack in one command
python3 scripts/safe_pack.py \
~/workspace/my-project \
--output ~/Downloads/my-project-package.xml
Workflow 2: Clean and Package a Project with Secrets
# Step 1: Scan to discover secrets
python3 scripts/scan_secrets.py ~/workspace/my-project
# Step 2: Review findings and replace credentials with env vars
# (Edit files manually or with automation)
# Step 3: Verify cleanup
python3 scripts/scan_secrets.py ~/workspace/my-project
# Step 4: Package safely
python3 scripts/safe_pack.py \
~/workspace/my-project \
--output ~/Downloads/my-project-clean.xml
Workflow 3: Audit Before Commit
# Pre-commit hook: scan for secrets
python3 scripts/scan_secrets.py . --json
# Exit code 1 if secrets found (blocks commit)
# Exit code 0 if clean (allows commit)
Resources
References:
references/common_secrets.md- Complete credential pattern catalog
Scripts:
scripts/scan_secrets.py- Standalone security scannerscripts/safe_pack.py- Complete scan → pack workflow
Related Skills:
repomix-unmixer- Extracts files from repomix packagesskill-creator- Creates new Claude Code skills
Security Note
This skill detects common patterns but may not catch all credential types. Always:
- Review findings manually
- Rotate exposed credentials
- Use .env.example templates
- Validate environment variables
- Monitor for unauthorized access
Not a replacement for: Secret scanning in CI/CD, git history scanning, or comprehensive security audits.
How to use repomix-safe-mixer on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add repomix-safe-mixer
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches repomix-safe-mixer from GitHub repository daymade/claude-code-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate repomix-safe-mixer. Access the skill through slash commands (e.g., /repomix-safe-mixer) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★64 reviews- ★★★★★Hassan Iyer· Dec 28, 2024
repomix-safe-mixer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Layla Gill· Dec 12, 2024
repomix-safe-mixer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Chaitanya Patil· Dec 4, 2024
Keeps context tight: repomix-safe-mixer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Piyush G· Nov 23, 2024
repomix-safe-mixer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Aisha Flores· Nov 19, 2024
Keeps context tight: repomix-safe-mixer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Isabella Anderson· Nov 15, 2024
repomix-safe-mixer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Layla Bansal· Nov 3, 2024
I recommend repomix-safe-mixer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Sakura Torres· Oct 22, 2024
Useful defaults in repomix-safe-mixer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Shikha Mishra· Oct 14, 2024
Solid pick for teams standardizing on skills: repomix-safe-mixer is focused, and the summary matches what you get after install.
- ★★★★★Evelyn Verma· Oct 10, 2024
repomix-safe-mixer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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