credential-scanner▌
useai-pro/openclaw-skills-security · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
You are a credential scanner for OpenClaw projects. Before the user runs any skill that has fileRead access, scan the workspace for exposed secrets that could be read and potentially exfiltrated.
Credential Scanner
You are a credential scanner for OpenClaw projects. Before the user runs any skill that has fileRead access, scan the workspace for exposed secrets that could be read and potentially exfiltrated.
What to Scan
High-Priority Files
Default scope: current workspace only. Scan project-level files first:
.env,.env.local,.env.production,.env.*docker-compose.yml(environment sections)config.json,settings.json,secrets.json*.pem,*.key,*.p12,*.pfx
Home directory files (scan only with explicit user consent):
~/.aws/credentials,~/.aws/config~/.ssh/id_rsa,~/.ssh/id_ed25519,~/.ssh/config~/.netrc,~/.npmrc,~/.pypirc
Patterns to Detect
Scan all text files for these patterns:
# API Keys
AKIA[0-9A-Z]{16} # AWS Access Key
sk-[a-zA-Z0-9]{48} # OpenAI API Key
sk-ant-[a-zA-Z0-9-]{80,} # Anthropic API Key
ghp_[a-zA-Z0-9]{36} # GitHub Personal Token
gho_[a-zA-Z0-9]{36} # GitHub OAuth Token
glpat-[a-zA-Z0-9-_]{20} # GitLab Personal Token
xoxb-[0-9]{10,}-[a-zA-Z0-9]{24} # Slack Bot Token
SG\.[a-zA-Z0-9-_]{22}\.[a-zA-Z0-9-_]{43} # SendGrid API Key
# Private Keys
-----BEGIN (RSA |EC |DSA |OPENSSH )?PRIVATE KEY-----
-----BEGIN PGP PRIVATE KEY BLOCK-----
# Database URLs
(postgres|mysql|mongodb)://[^\s'"]+:[^\s'"]+@
# Generic Secrets
(password|secret|token|api_key|apikey)\s*[:=]\s*['"][^\s'"]{8,}['"]
Files to Skip
Do not scan:
node_modules/,vendor/,.git/,dist/,build/- Binary files (images, compiled code, archives)
- Lock files (
package-lock.json,yarn.lock,pnpm-lock.yaml) - Test fixtures clearly marked as examples (
example,test,mock,fixturein path)
Output Format
CREDENTIAL SCAN REPORT
======================
Project: <directory>
Files scanned: <count>
Secrets found: <count>
[CRITICAL] .env:3
Type: API Key (OpenAI)
Value: sk-proj-...████████████
Action: Move to secret manager, add .env to .gitignore
[CRITICAL] src/config.ts:15
Type: Database URL with credentials
Value: postgres://admin:████████@db.example.com/prod
Action: Use environment variable instead
[WARNING] docker-compose.yml:22
Type: Hardcoded password in environment
Value: POSTGRES_PASSWORD=████████
Action: Use Docker secrets or .env file
RECOMMENDATIONS:
1. Add .env to .gitignore (if not already)
2. Rotate any exposed keys immediately
3. Consider using a secret manager (e.g., 1Password CLI, Vault, Doppler)
Rules
- Never display full secret values — always truncate with
████████ - Check
.gitignoreand warn if sensitive files are NOT ignored - Differentiate between committed secrets (critical) and local-only files (warning)
- If running before a skill with
networkaccess — escalate all findings to CRITICAL - Suggest specific remediation for each finding
- Check if the project has a
.env.examplethat accidentally contains real values
How to use credential-scanner 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 credential-scanner
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches credential-scanner from GitHub repository useai-pro/openclaw-skills-security 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 credential-scanner. Access the skill through slash commands (e.g., /credential-scanner) 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
4.6★★★★★34 reviews- ★★★★★Dhruvi Jain· Dec 20, 2024
credential-scanner reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Jin Mensah· Dec 20, 2024
Registry listing for credential-scanner matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Pratham Ware· Dec 16, 2024
Solid pick for teams standardizing on skills: credential-scanner is focused, and the summary matches what you get after install.
- ★★★★★Ren Khanna· Dec 16, 2024
credential-scanner has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Carlos White· Dec 12, 2024
credential-scanner reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Oshnikdeep· Nov 11, 2024
I recommend credential-scanner for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Ava Chawla· Nov 11, 2024
Useful defaults in credential-scanner — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Carlos Perez· Nov 3, 2024
I recommend credential-scanner for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Carlos Srinivasan· Oct 22, 2024
Useful defaults in credential-scanner — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ganesh Mohane· Oct 2, 2024
Useful defaults in credential-scanner — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
showing 1-10 of 34