Skip to main content
skillsFirst-partyReview first Safety · Privacy ·

OpenClaw Agent Ops Hardening Skill

Harden OpenClaw agent environments with secure defaults, policy boundaries, tool governance, and incident response playbooks.

by JSONbored·added 2026-04-10·373,140 source repo stars·
Claude CodeCodexWindsurfGeminiCursorCLI
HarnessClaude CodeCodexWindsurfGeminiCursorCLI
Level:advancedType:generalVerified:draft
Review first review before installing

Open the source and read safety notes before installing.

Prerequisites

  • Running OpenClaw environment (self-hosted or managed)
  • Inventory of enabled tools and external integrations
  • Access to runtime/network/security configuration

Schema details

Install type
package
Reading time
8 min
Difficulty score
81
Troubleshooting
Yes
Breaking changes
No
Source repository stats
Scope
Source repo
Stars
373,140 source repo stars
Forks
77,409
Updated
2026-05-19T11:43:27Z
Package metadata
Package verified
Yes
SHA-256
a2287d07c870f3070dc22382f0e2a409b098c5115c844429796bfa4424baf21d
Skill and platform metadata
Skill type
general
Skill level
advanced
Verification
draft
Verified at
2026-04-10
Retrieval sources
https://github.com/openclaw/openclaw
Tested platforms
ClaudeCodexOpenClawCursorWindsurfGemini
PlatformSupportInstall path
claude-codeNative.claude/skills/<skill-name>/SKILL.md
codexNative.agents/skills/<skill-name>/SKILL.md
windsurfNative.windsurf/skills/<skill-name>/SKILL.md
geminiNative.gemini/skills/<skill-name>/SKILL.md or .agents/skills/<skill-name>/SKILL.md
cursorAdapter.cursor/rules/<skill-name>.mdc
cliManualAGENTS.md or tool-specific context file
Full copyable content
# Trigger
"Run the OpenClaw ops hardening skill for this deployment."

# Required output
1) Threat model and trust boundaries
2) Permission matrix for tools/actions
3) Runtime hardening changes
4) Incident response checklist

About this resource

Overview

This skill provides a practical hardening framework for OpenClaw deployments. It focuses on reducing attack surface while preserving developer velocity: least privilege, clear approval paths, and observable failure handling.

Compatibility

Native

  • Claude Code / Claude: native skill usage via SKILL.md.
  • Codex/OpenAI workflows: compatible with Agent Skills-style SKILL.md content as reusable workflow instructions.

Manual Adaptation

  • Gemini CLI: native skill usage via .gemini/skills/<skill-name>/SKILL.md or .agents/skills/<skill-name>/SKILL.md where supported.
  • Cursor: use the generated .cursor/rules/*.mdc adapter for project rules.
  • OpenClaw and similar agents: use the same skill content as a reusable prompt/workflow file when native skill import is unavailable.

Prerequisites

  • Tool and connector inventory
  • Environment separation plan (dev/staging/prod)
  • Centralized logs and alert destination

What This Skill Delivers

  • Threat model tailored to agentic execution
  • Permission and approval policy per tool class
  • Runtime hardening checklist (secrets, network, filesystem, egress)
  • Incident handling runbook for abuse, drift, and data exposure

How to Use This Skill

  1. Identify data classes and protected operations.
  2. Map tools to minimal required permissions.
  3. Add explicit policy checks for sensitive actions.
  4. Add audit logs with correlation IDs.
  5. Validate with adversarial prompts and abuse scenarios.

Troubleshooting

Issue: Agent can execute risky actions too broadly
Fix: Split capabilities into scoped tools and add approval for privileged operations.

Issue: Difficult to trace harmful outputs
Fix: Add structured logging for prompt, tool call, decision, and result lifecycle.

Issue: Secrets exposed in generated output
Fix: Add redaction middleware and blocklist checks before response emission.

Knowledge Freshness

Treat tooling details as time-sensitive. Re-validate APIs, limits, pricing, auth models, and deployment flags immediately before implementation. If docs conflict with prior memory, follow current official docs and release notes.

Retrieval Sources

Output Contract

  1. Return a concrete plan with implementation order.
  2. Provide production-ready commands/config/code snippets (not placeholders).
  3. Include explicit assumptions and unresolved risks.
  4. Include a verification checklist with pass/fail criteria.

Quality Gates

  • All commands are copy/paste ready.
  • Security-sensitive steps call out secret handling and least privilege.
  • Version-sensitive guidance cites current docs used.
  • Rollback path is included for risky changes.
  • Final output includes quick validation commands/tests.
#openclaw#ai-agents#security#hardening#operations

Source citations

Signals

Loading live community signals…

More like this, weekly

A short, calm digest of reviewed Claude resources. Unsubscribe any time.