openclaw-deployment-hardening
openclaw-deployment-hardening is an code AI skill with a core value of Secure OpenClaw deployments with preflight hardening checks, CI/CD guardrails, container runtime restrictions, and post-deploy verification. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Secure OpenClaw deployments with preflight hardening checks, CI/CD guardrails, container runtime restrictions, and post-deploy verification.
Quick Facts
mkdir -p ./skills/openclaw-deployment-hardening && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/openclaw-deployment-hardening/SKILL.md -o ./skills/openclaw-deployment-hardening/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# OpenClaw Deployment Hardening
Use this skill to add repeatable security gates around OpenClaw build and deployment workflows.
Enforce a Secure Build Pipeline
Add mandatory controls to CI before artifacts are promoted:
1. Dependency and lockfile vulnerability scan (fail on critical CVEs).
2. Image scan for OS/package vulnerabilities.
3. Secret scanning across source and build context.
4. SBOM generation and artifact signing.
5. Policy check that blocks deploy when controls fail.
Example CI step order:
# Build
npm ci
npm run build
# Security gates
trivy fs .
trivy image my-registry/openclaw:${GIT_SHA}
syft my-registry/openclaw:${GIT_SHA} -o spdx-json > sbom.json
cosign sign --key cosign.key my-registry/openclaw:${GIT_SHA}Lock Down Container Runtime
Run OpenClaw with restrictive defaults:
- Non-root user in container
- Read-only root filesystem where possible
- Drop all Linux capabilities, add back only required
- `no-new-privileges` enabled
- Constrained CPU/memory limits to reduce abuse impact
- Seccomp/AppArmor (or equivalent) profile enforced
Kubernetes-oriented expectations:
- `runAsNonRoot: true`
- `allowPrivilegeEscalation: false`
- `readOnlyRootFilesystem: true`
- network policy deny-all baseline with explicit allow rules
Gate Production Promotion
Require explicit promotion checks:
- Security sign-off on CVE exceptions.
- Signed artifact verification in deployment stage.
- Drift check between expected and live manifest values.
- Deployment only from immutable tags or digests.
Avoid mutable `latest` tags for production OpenClaw services.
Protect Data and Session Surfaces
- Minimize prompt/response retention by policy.
- Mask secrets and PII in logs before shipping to SIEM.
- Encrypt persistent volumes and backups.
- Isolate tenant/session data boundaries when serving multiple teams.
Post-Deploy Verification
Run a hardening smoke test immediately after rollout:
kubectl get pods -n openclaw
kubectl auth can-i --as=system:serviceaccount:openclaw:default list secrets -n openclaw
kubectl get networkpolicy -n openclaw
kubectl logs deploy/openclaw -n openclaw --tail=200Verify:
- Pod security context matches policy.
- Service account permissions are least privilege.
- Ingress auth/rate limits are effective.
- No plaintext secrets appear in logs.
Incident-Ready Rollback Pattern
Maintain a hardened rollback workflow:
1. Freeze further rollouts.
2. Revoke suspect tokens and rotate secrets.
3. Roll back to last signed known-good image digest.
4. Re-run post-deploy hardening verification.
5. Capture timeline and artifacts for forensics.
Related Skills
- container-hardening (`container-hardening`) - Container security baseline controls
- kubernetes-hardening (`kubernetes-hardening`) - Pod and cluster hardening patterns
- sbom-supply-chain (`sbom-supply-chain`) - SBOM, signing, and provenance controls
When to Use
- You need the security workflow covered by this skill (secrets, scanning, network defense, operations, AI security) inside an authorized scope.
Limitations
- Apply guidance only within authorized scope; test destructive steps in non-production first.
- Docs-only import: upstream scripts and templates not bundled.
Example
# Read-only first: inventory before any active step.
which <tool> && <tool> --help | head -n 20> Adapted from [BagelHole/DevOps-Security-Agent-Skills](https://github.com/BagelHole/DevOps-Security-Agent-Skills) (MIT); frontmatter, When to Use/Limitations, and safety boundaries added for upstream compliance. Docs-only import: helper scripts and templates not bundled.
🎯 Best For
- Claude users
- Software engineers
- Development teams
- Tech leads
💡 Use Cases
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply openclaw-deployment-hardening to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Is openclaw-deployment-hardening compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for openclaw-deployment-hardening?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install openclaw-deployment-hardening?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/openclaw-deployment-hardening/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.