MR
Mayur Rathi
@sickn33
⭐ 47.3k GitHub stars

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.

Last verified on: 2026-10-06

Quick Facts

Category code
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 47.3k
Last Verified 2026-10-06
Risk Level Low
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:


bash
# 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:


bash
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=200

Verify:


- 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


bash
# 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. 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. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 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. 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.

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