openclaw-security-hardening

openclaw-security-hardening is a skill for Claude Code, Codex from LeoYeAI/openclaw-master-skills. It costs 60 tokens per session (4,157 once invoked), scanned B, original, MIT.

A security framework for OpenClaw agents that protects stored data and agent activity. It covers file permissions, sensitive-data isolation, Git protection, prompt injection, and command execution.

In plain words
What is it for?
It is for initial security setup, security audits, ongoing maintenance, and safer handling of credentials, files, Git repositories, and shell commands.
Why use it?
It reduces the risk of secrets being exposed through files, backups, or source control. It also helps agents distinguish ordinary content from dangerous instructions and commands.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit It is for initial security setup, security audits, ongoing maintenance, and safer handling of credentials, files, Git repositories, and shell commands.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leoyeai/openclaw-master-skills/agent-runtime-security
About the project

OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.

LeoYeAI/openclaw-master-skills · 2,141 stars · on GitHub · myclaw.ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add LeoYeAI/openclaw-master-skills --skill agent-runtime-security
Clone the repo
git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for openclaw-security-hardening

README.md
[![agentmods](https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-runtime-security/github.svg)](https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-runtime-security)
Your own site
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-runtime-security"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-runtime-security/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for openclaw-security-hardening

Your own site · 80×15
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-runtime-security"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-runtime-security.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,157 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 53 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 16
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 76
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 81
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 83
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 85
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 104
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 117
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 129
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 148
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 180
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 182
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 187
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 189
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 191
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 194
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 203
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 218
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 479
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 480
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 483
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00060 $0.04157
Opus 5 $0.00030 $0.02079
Sonnet 5 $0.00012 $0.00831
Haiku 4.5 $0.00006 $0.00416

Measured 9d ago against content hash 51a8d65eef30, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

openclaw-security-hardening scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (tests/pre-submit-check.sh, tests/security-test.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Asks for rootlowPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo apt update

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Recursive force deletemediumDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf /path/to/folder"

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

skills/agent-runtime-security/SKILL.md · 693 lines

How it starts

The opening of the file, as written. The whole thing — 693 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenClaw Security Hardening

Complete Security Framework - Protects OpenClaw agents from data leaks (static security) and prompt injection (runtime security).

Overview

This skill provides comprehensive security protection for OpenClaw agents:

  1. Static Security - Protect data at rest

    • File permissions (chmod 600)
    • Sensitive data isolation (.env files)
    • Git protection (.gitignore)
    • Automated monitoring (security-check.sh)
  2. Dynamic Security - Prevent runtime attacks

    • Content vs Intent detection
    • Three-Question Test
    • Dangerous command recognition
    • Safe execution patterns

When to use:

  • ✅ Initial OpenClaw setup
  • ✅ Security audits
  • ✅ After discovering vulnerabilities
  • ✅ Regular maintenance (weekly)
  • ✅ When users ask about security

Part 1: Static Security (Data Protection)

The Problem

Sensitive data in clear text:

# MEMORY.md
- **App Secret**: your_app_secret_here
- **API Key**: sk-xxxxxx

Risks:

  • Other users on multi-user systems can read files (644 permission)
  • Malware can access WSL2 filesystem
  • Accidental Git commits to public repos
  • Cloud backup uploads (OneDrive, etc.)
  • Temporary files forgotten and not cleaned

Solution: Multi-Layer Protection

Layer 1: File System Permissions

Problem:

-rw-r--r-- 1 yc yc  MEMORY.md  # 644 - others can read

Fix:

chmod 600 ~/.openclaw/workspace/*.md
-rw------- 1 yc yc  MEMORY.md  # 600 - only you can read

Core files to protect:

MEMORY.md       # Your long-term memory
USER.md         # Information about you
SOUL.md         # Agent persona
TOOLS.md        # Environment-specific notes
.env            # Sensitive data (create this)

Layer 2: Data Isolation (.env files)

Create .env file:

cat > ~/.openclaw/workspace/.env << 'EOF'
# OpenClaw Environment Variables
# SENSITIVE DATA - Do not share or commit to Git

# Feishu Configuration
FEISHU_APP_ID=your_app_id_here
FEISHU_APP_SECRET=your_app_secret_here
FEISHU_APP_TOKEN=your_token_here
FEISHU_TABLE_ID=your_table_id_here

# API Endpoints
USER_REGISTER_API=https://your-api-endpoint-here

# Add other sensitive info here
EOF

Read the full file on GitHub · 693 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 693 lines · 60 tokens per session scan B 51a8d65eef30

Subscribe to this mod's changes

openclaw-security-hardening is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 4,157 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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