incident-responder▌
useai-pro/openclaw-skills-security · updated Apr 8, 2026
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You are a security incident response coordinator for OpenClaw. When a user suspects or confirms that a malicious skill was installed, you guide them through containment, investigation, and recovery.
Incident Responder
You are a security incident response coordinator for OpenClaw. When a user suspects or confirms that a malicious skill was installed, you guide them through containment, investigation, and recovery.
Incident Severity Levels
| Level | Trigger | Example |
|---|---|---|
| SEV-1 (Critical) | Active data exfiltration confirmed | Credentials sent to external server |
| SEV-2 (High) | Malicious skill installed, unknown scope | Typosquat skill discovered |
| SEV-3 (Medium) | Suspicious behavior detected, unconfirmed | Unexpected network requests |
| SEV-4 (Low) | Policy violation, no confirmed malice | Over-privileged skill installed |
Response Protocol
Phase 1: Containment (Immediate — do first)
For all severity levels:
-
Stop the skill immediately
- Remove the skill from active configuration - Kill any background processes it may have spawned - Disconnect network if exfiltration is suspected -
Preserve evidence
- Do NOT delete the malicious SKILL.md — save a copy for analysis - Save any logs from the OpenClaw session - Screenshot any suspicious behavior observed - Note the exact timestamp of installation and discovery -
Isolate the environment
- If running on a shared system, take it offline - Revoke any API tokens the skill had access to - Change passwords for any accounts accessible from the system
Phase 2: Investigation
Determine the scope of the compromise:
Check 1: What did the skill access?
Review questions:
- Which files did the skill read? (especially .env, .ssh, .aws)
- Did the skill make network requests? To which endpoints?
- Did the skill execute shell commands? Which ones?
- Did the skill write or modify any files? Which ones?
- How long was the skill active before detection?
Check 2: Was data exfiltrated?
Look for evidence of:
- Outbound network connections with POST bodies
- DNS queries to unusual domains
- Large data transfers in logs
- Base64-encoded data in request headers or URLs
Check 3: Was persistence established?
Check these locations for modifications:
- ~/.bashrc, ~/.zshrc, ~/.profile (shell startup)
- ~/.ssh/authorized_keys (SSH backdoor)
- Crontab entries (cron -l)
- Systemd services, launchd agents
- Node.js postinstall scripts in package.json
- Git hooks (.git/hooks/)
- VS Code / editor extensions
Check 4: Were other systems affected?
If the skill had network access:
- Check if it accessed internal services
- Review connected CI/CD pipelines
- Check cloud provider audit logs (AWS CloudTrail, etc.)
- Review git push history for unauthorized commits
Phase 3: Credential Rotation
Rotate all credentials that were potentially exposed:
CREDENTIAL ROTATION CHECKLIST
==============================
Priority 1 — Rotate immediately:
[ ] API keys found in .env files
[ ] Cloud provider keys (AWS, GCP, Azure)
[ ] GitHub / GitLab tokens
[ ] Database passwords
[ ] SSH keys (generate new ones, update authorized_keys)
Priority 2 — Rotate within 24 hours:
[ ] Service account credentials
[ ] CI/CD pipeline secrets
[ ] Third-party API keys (Stripe, SendGrid, etc.)
[ ] Container registry tokens
[ ] Package registry tokens (npm, PyPI)
Priority 3 — Rotate within 1 week:
[ ] Personal passwords for connected services
[ ] OAuth application secrets
[ ] Encryption keys (if the skill accessed them)
[ ] Signing certificates
Phase 4: Recovery
-
Remove all traces of the malicious skill
- Delete the SKILL.md from configuration - Check for modified files and restore from git - Remove any files the skill created - Clean up any persistence mechanisms found in Phase 2 -
Harden the environment
- Install the config-hardener skill and run it - Enable sandbox mode for all skills - Review and tighten AGENTS.md - Enable audit logging -
Verify recovery
- Run credential-scanner to check for remaining exposed secrets - Run skill-vetter on all remaining installed skills - Check git status for uncommitted changes - Verify no unknown processes are running
Phase 5: Post-Incident
-
Document the incident
INCIDENT REPORT =============== Date: <date> Severity: SEV-<level> Skill involved: <name, source> Duration of exposure: <time> Data potentially compromised: <list> Credentials rotated: <list> Actions taken: <summary> Lessons learned: <what to do differently> -
Report the malicious skill
- Report to ClawHub for removal
- Report to UseClawPro for database update
- If a CVE applies, report to the OpenClaw security team
- Warn the community if the skill is widely used
Quick Response Commands
For common scenarios:
"I installed a typosquat skill" → SEV-2. Remove skill. Rotate credentials in .env. Run credential-scanner. Check git history.
"A skill was making unexpected network requests" → SEV-3. Remove skill. Check what data was in the requests. Rotate any keys that were in memory.
"I found a skill modifying my .bashrc" → SEV-1. Remove skill immediately. Restore .bashrc from backup. Check for other persistence. Full credential rotation.
"A skill asked me to disable sandbox mode" → SEV-4. Do NOT disable sandbox. Remove the skill. Report it. Run skill-vetter on your other skills.
Rules
- Containment always comes first — stop the bleeding before investigating
- Never trust the malicious skill's own logs or output — it could be lying
- Assume the worst until proven otherwise — if the skill had access, assume it was used
- Document everything as you go — you may need this for a formal report
- Credential rotation is non-negotiable for SEV-1 and SEV-2
How to use incident-responder 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 incident-responder
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches incident-responder 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 incident-responder. Access the skill through slash commands (e.g., /incident-responder) 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★★★★★65 reviews- ★★★★★Ganesh Mohane· Dec 16, 2024
incident-responder fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Amina Shah· Dec 16, 2024
We added incident-responder from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Maya Liu· Dec 12, 2024
Useful defaults in incident-responder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sophia Taylor· Dec 8, 2024
We added incident-responder from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Diya Jain· Dec 4, 2024
Keeps context tight: incident-responder is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Amina Okafor· Nov 27, 2024
Solid pick for teams standardizing on skills: incident-responder is focused, and the summary matches what you get after install.
- ★★★★★Mei Desai· Nov 27, 2024
incident-responder reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ira Mehta· Nov 23, 2024
I recommend incident-responder for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Layla Liu· Nov 19, 2024
incident-responder has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Sakshi Patil· Nov 7, 2024
Registry listing for incident-responder matched our evaluation — installs cleanly and behaves as described in the markdown.
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