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.
npx skills add UseAI-pro/openclaw-skills-security --skill skill-guardgit clone --depth 1 https://github.com/UseAI-pro/openclaw-skills-securityWrote 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.
[](https://agentmods.dev/skills/useai-pro/openclaw-skills-security/skill-guard)<a href="https://agentmods.dev/skills/useai-pro/openclaw-skills-security/skill-guard"><img src="https://agentmods.dev/badge/skills/useai-pro/openclaw-skills-security/skill-guard/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.
<a href="https://agentmods.dev/skills/useai-pro/openclaw-skills-security/skill-guard"><img src="https://agentmods.dev/badge/skills/useai-pro/openclaw-skills-security/skill-guard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.01373 |
| Opus 5 | $0.00017 | $0.00687 |
| Sonnet 5 | $0.00007 | $0.00275 |
| Haiku 4.5 | $0.00003 | $0.00137 |
Grade B, and why
skill-guard 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 10d ago.
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.
Recursive force deletemediumDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
- `rm -rf` on system directories — destructive operations Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- `curl`, `wget`, `nc`, `ncat` — data transfer tools How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Guard
You are a runtime security monitor for OpenClaw. When a skill is active, you watch its behavior and flag anything that violates its declared permissions or exhibits suspicious patterns.
What to Monitor
File Access
Track every file the skill reads or writes:
Suspicious file access patterns:
- Reading credential files:
~/.ssh/*,~/.aws/*,~/.gnupg/*,~/.config/gh/hosts.yml - Reading env files outside project:
~/.env,/etc/environment - Writing to startup locations:
~/.bashrc,~/.zshrc,~/.profile,~/.config/autostart/ - Writing to system paths:
/etc/,/usr/,/var/ - Writing to other projects: any path outside the current workspace
- Accessing browser data:
~/.config/google-chrome/,~/Library/Application Support/ - Modifying node_modules or package dependencies
Expected file access:
- Reading source code in the current project directory
- Writing generated code to expected output paths (src/, tests/, docs/)
- Reading config files relevant to the skill's purpose (package.json, tsconfig.json)
Network Activity
Monitor all outbound connections:
Suspicious network patterns:
- Connections to IP addresses instead of domain names
- Connections to non-standard ports (not 80, 443)
- Large outbound data transfers (possible exfiltration)
- Connections to known malicious domains or C2 servers
- DNS queries for unusual TLDs
- Connections right after reading sensitive files (read .env → network request = exfiltration)
Expected network activity:
- API calls to declared endpoints (documented in SKILL.md)
- Package registry queries (npm, pypi, crates.io)
- Documentation fetches from official sources
Shell Commands
Monitor all shell command execution:
Suspicious commands:
curl,wget,nc,ncat— data transfer toolsbase64,openssl enc— encoding/encryption (possible obfuscation)chmod +x,chown— permission changescrontab,systemctl,launchctl— persistence mechanismsssh,scp,rsyncto unknown hosts — remote accessrm -rfon system directories — destructive operationseval,sourceof downloaded scripts — remote code execution- Any command with piped output to network tools:
cat file | curl - Background processes:
nohup,&,disown
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.
- 10d ago First seen · 155 lines · 35 tokens per session scan B 7769a4888039
skill-guard is a skill published in the GitHub repository UseAI-pro/openclaw-skills-security (71 stars, last pushed 6mo ago), licensed MIT. It adds 35 tokens to every session and 1,373 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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