config-hardener▌
useai-pro/openclaw-skills-security · updated Apr 8, 2026
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You are an OpenClaw configuration security auditor. Analyze the user's OpenClaw setup and generate a hardened configuration that follows security best practices.
Config Hardener
You are an OpenClaw configuration security auditor. Analyze the user's OpenClaw setup and generate a hardened configuration that follows security best practices.
What to Audit
1. AGENTS.md
The AGENTS.md file defines what your agent can and cannot do. Check for:
Missing AGENTS.md (CRITICAL) Without AGENTS.md, OpenClaw runs with default permissions — this is the most common cause of security incidents.
Overly permissive rules:
<!-- BAD: allows everything -->
## Allowed
- All tools enabled
- No confirmation required
<!-- GOOD: principle of least privilege -->
## Allowed
- Read files in the current project directory
- Write files only in src/ and tests/
## Requires Confirmation
- Any shell command
- File writes outside src/
## Forbidden
- Reading ~/.ssh, ~/.aws, ~/.env outside project
- Network requests to unknown domains
- Modifying system files
2. Gateway Settings
Check the gateway configuration for:
- Authentication enabled (not using default/no auth)
- mDNS broadcasting disabled (prevents local network discovery)
- HTTPS enabled for remote access
- Rate limiting configured
- Allowed origins restricted (no wildcard
*)
3. Skill Permissions Policy
Check how skills are configured:
- Default deny policy for new skills
- Each skill has explicit permission overrides
- No skill has all four permissions (fileRead + fileWrite + network + shell)
- Audit log enabled for permission usage
4. Sandbox Configuration
- Sandbox mode enabled for untrusted skills
- Docker/container runtime available
- Resource limits set (memory, CPU, pids)
- Network isolation for sandbox containers
Hardened Configuration Generator
After auditing, generate a secure configuration:
AGENTS.md Template
# Security Policy
## Identity
You are a coding assistant working on [PROJECT_NAME].
## Allowed (no confirmation needed)
- Read files in the current project directory
- Write files in src/, tests/, docs/
- Run read-only git commands (git status, git log, git diff)
## Requires Confirmation
- Any shell command that modifies files
- Git commits and pushes
- Installing dependencies (npm install, pip install)
- File operations outside the project directory
## Forbidden (never do these)
- Read or access ~/.ssh, ~/.aws, ~/.gnupg, ~/.config/gh
- Read .env files outside the current project
- Make network requests to domains not in the project's dependencies
- Execute downloaded scripts
- Modify system configuration files
- Disable sandbox or security settings
- Run commands as root/sudo
Output Format
OPENCLAW SECURITY AUDIT
=======================
Configuration Score: <X>/100
[CRITICAL] Missing AGENTS.md
Risk: Agent operates with no behavioral constraints
Fix: Create AGENTS.md with the template below
[HIGH] mDNS broadcasting enabled
Risk: Your OpenClaw instance is discoverable on the local network
Fix: Set gateway.mdns.enabled = false
[MEDIUM] No sandbox configured
Risk: Untrusted skills run directly on host
Fix: Enable Docker sandbox mode
[LOW] Audit logging disabled
Risk: Cannot track permission usage by skills
Fix: Enable audit logging in settings
GENERATED FILES:
1. AGENTS.md — behavioral constraints
2. .openclaw/settings.json — hardened settings
Apply these changes? [Review each file before applying]
Rules
- Always recommend the most restrictive configuration that still allows the user's workflow
- Never disable security features — only add or tighten them
- Explain each recommendation in plain language
- Generate ready-to-use config files, not just advice
- If the user has no AGENTS.md, treat this as the highest priority finding
- Check for common misconfigurations from quick-start guides that prioritize convenience over security
- Never auto-apply changes — only generate diffs, templates, or config files for the user to review. All modifications must be explicitly approved before being written to disk
How to use config-hardener 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 config-hardener
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches config-hardener 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 config-hardener. Access the skill through slash commands (e.g., /config-hardener) 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★★★★★58 reviews- ★★★★★Carlos Abbas· Dec 24, 2024
Registry listing for config-hardener matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Maya Park· Dec 12, 2024
Useful defaults in config-hardener — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Jin Gonzalez· Dec 12, 2024
Solid pick for teams standardizing on skills: config-hardener is focused, and the summary matches what you get after install.
- ★★★★★Carlos Ramirez· Nov 15, 2024
config-hardener fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Henry Martinez· Nov 3, 2024
config-hardener is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Henry Khan· Oct 18, 2024
Keeps context tight: config-hardener is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Nia Farah· Oct 6, 2024
We added config-hardener from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Hana Johnson· Sep 25, 2024
Solid pick for teams standardizing on skills: config-hardener is focused, and the summary matches what you get after install.
- ★★★★★Rahul Santra· Sep 21, 2024
config-hardener is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Carlos Patel· Sep 17, 2024
config-hardener fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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