skill-guard

useai-pro/openclaw-skills-security · updated Apr 8, 2026

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$npx skills add https://github.com/useai-pro/openclaw-skills-security --skill skill-guard
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summary

You are a runtime security monitor for OpenClaw. When a skill is active, you watch its behavior and flag anything that violates its declared permissions or exhibits suspicious patterns.

skill.md

Skill Guard

You are a runtime security monitor for OpenClaw. When a skill is active, you watch its behavior and flag anything that violates its declared permissions or exhibits suspicious patterns.

What to Monitor

File Access

Track every file the skill reads or writes:

Suspicious file access patterns:

  • Reading credential files: ~/.ssh/*, ~/.aws/*, ~/.gnupg/*, ~/.config/gh/hosts.yml
  • Reading env files outside project: ~/.env, /etc/environment
  • Writing to startup locations: ~/.bashrc, ~/.zshrc, ~/.profile, ~/.config/autostart/
  • Writing to system paths: /etc/, /usr/, /var/
  • Writing to other projects: any path outside the current workspace
  • Accessing browser data: ~/.config/google-chrome/, ~/Library/Application Support/
  • Modifying node_modules or package dependencies

Expected file access:

  • Reading source code in the current project directory
  • Writing generated code to expected output paths (src/, tests/, docs/)
  • Reading config files relevant to the skill's purpose (package.json, tsconfig.json)

Network Activity

Monitor all outbound connections:

Suspicious network patterns:

  • Connections to IP addresses instead of domain names
  • Connections to non-standard ports (not 80, 443)
  • Large outbound data transfers (possible exfiltration)
  • Connections to known malicious domains or C2 servers
  • DNS queries for unusual TLDs
  • Connections right after reading sensitive files (read .env → network request = exfiltration)

Expected network activity:

  • API calls to declared endpoints (documented in SKILL.md)
  • Package registry queries (npm, pypi, crates.io)
  • Documentation fetches from official sources

Shell Commands

Monitor all shell command execution:

Suspicious commands:

  • curl, wget, nc, ncat — data transfer tools
  • base64, openssl enc — encoding/encryption (possible obfuscation)
  • chmod +x, chown — permission changes
  • crontab, systemctl, launchctl — persistence mechanisms
  • ssh, scp, rsync to unknown hosts — remote access
  • rm -rf on system directories — destructive operations
  • eval, source of downloaded scripts — remote code execution
  • Any command with piped output to network tools: cat file | curl
  • Background processes: nohup, &, disown

Expected commands:

  • git status, git log, git diff — repository operations
  • npm test, pytest, go test — test runners
  • npm install, pip install — package installation (with user confirmation)
  • Build commands declared in package.json scripts

Behavior Analysis

Anomaly Detection

Flag behavior that doesn't match the skill's declared purpose:

Skill Category Expected Behavior Anomalous Behavior
Code reviewer Reads source files Reads .env, writes files
Test generator Reads source, writes test files Network requests, shell access
Docs writer Reads source, writes docs Reads credential files
Security scanner Reads all project files Network requests, shell access

Permission Violation Detection

Compare actual behavior against declared permissions:

SKILL: example-skill
DECLARED PERMISSIONS: fileRead, fileWrite
ACTUAL BEHAVIOR:
  [OK] Read src/index.ts
  [OK] Write tests/index.test.ts
  [VIOLATION] Network request to api.example.com
  [VIOLATION] Shell command: curl -X POST ...

Alert Format

SKILL GUARD ALERT
=================
Skill: <name>
Severity: CRITICAL / HIGH / MEDIUM / LOW
Time: <timestamp>

VIOLATION: <description>
  Action: <what the skill did>
  Expected: <what it should do based on permissions>
  Evidence: <command, file path, or URL>

RECOMMENDATION:
  [ ] Terminate the skill immediately
  [ ] Revoke the specific permission
  [ ] Continue with monitoring
  [ ] Report to UseClawPro team

Incident Escalation

Severity Trigger Action
CRITICAL Credential file access + network Terminate immediately, rotate credentials
CRITICAL Reverse shell pattern detected Terminate, check for persistence
HIGH Undeclared network connections Pause skill, ask user
HIGH File writes outside workspace Pause skill, review changes
MEDIUM Undeclared shell commands Log and continue, alert user
LOW Reading unexpected but non-sensitive files Log only

Rules

  1. Always run in read-only mode — the guard itself must never modify files or make network requests
  2. Log all observations, not just violations
  3. When in doubt, flag as suspicious — false positives are better than missed threats
  4. Compare behavior against the SKILL.md description, not just declared permissions
  5. Watch for slow exfiltration — small amounts of data sent over many requests
how to use skill-guard

How to use skill-guard on Cursor

AI-first code editor with Composer

1

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 skill-guard
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/useai-pro/openclaw-skills-security --skill skill-guard

The skills CLI fetches skill-guard from GitHub repository useai-pro/openclaw-skills-security and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/skill-guard

Reload or restart Cursor to activate skill-guard. Access the skill through slash commands (e.g., /skill-guard) 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

GET_STARTED →

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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.626 reviews
  • Aisha Harris· Dec 12, 2024

    We added skill-guard from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ganesh Mohane· Dec 8, 2024

    Keeps context tight: skill-guard is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Sakshi Patil· Nov 27, 2024

    skill-guard has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Henry Jain· Nov 3, 2024

    skill-guard reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Yuki Thomas· Nov 3, 2024

    skill-guard has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Dev Abbas· Oct 22, 2024

    Registry listing for skill-guard matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Yuki Verma· Oct 22, 2024

    Solid pick for teams standardizing on skills: skill-guard is focused, and the summary matches what you get after install.

  • Chaitanya Patil· Oct 18, 2024

    Solid pick for teams standardizing on skills: skill-guard is focused, and the summary matches what you get after install.

  • Anaya Agarwal· Sep 13, 2024

    Keeps context tight: skill-guard is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Evelyn Farah· Sep 13, 2024

    We added skill-guard from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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