Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Skill Sandbox
Test untrusted skills in an isolated environment before installing. Monitors network access, filesystem writes, environment variable reads, and subprocess ca...
skill openclawclawhub Free
Test untrusted skills in an isolated environment before installing. Monitors network access, filesystem writes, environment variable reads, and subprocess ca...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/sandbox.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.0
Provenance
- Publisher
- Trypto1019
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Skill Sandbox
Run untrusted skills in a monitored environment. See exactly what they do before giving them access to your real system.
Why This Exists
ClawHub has hundreds of skills. Some are malicious. Even after scanning with arc-skill-scanner, you can't catch everything with static analysis. The sandbox lets you run a skill's scripts and observe their behavior at runtime โ what network calls they make, what files they access, what environment variables they read.
Sandbox a skill directory
python3 {baseDir}/scripts/sandbox.py run --path ~/.openclaw/skills/some-skill/
Run a specific script in sandbox
python3 {baseDir}/scripts/sandbox.py run --script ~/.openclaw/skills/some-skill/scripts/main.py
Run with network monitoring
python3 {baseDir}/scripts/sandbox.py run --path ~/.openclaw/skills/some-skill/ --monitor-network
Run with fake environment variables
python3 {baseDir}/scripts/sandbox.py run --path ~/.openclaw/skills/some-skill/ --fake-env
Run with a time limit
python3 {baseDir}/scripts/sandbox.py run --path ~/.openclaw/skills/some-skill/ --timeout 30
Generate a safety report
python3 {baseDir}/scripts/sandbox.py report --path ~/.openclaw/skills/some-skill/
Filesystem Access
Files opened (read/write) Directories created File deletions Permission changes
Environment Variables
Which env vars are read Whether sensitive keys are accessed (API keys, tokens, passwords) Option to inject fake values to see what the skill does with them
Network Activity
Outbound HTTP/HTTPS requests (URLs, methods, payloads) DNS lookups Socket connections FTP, SMTP, and other protocols
Process Execution
Subprocess calls Shell commands Dynamic imports
Safety Modes
observe (default) โ Run the skill and log everything it does. No restrictions. restricted โ Block network access and filesystem writes outside a temp directory. honeypot โ Provide fake credentials and endpoints to see if the skill tries to exfiltrate.
Output
The sandbox produces a JSON report with: All filesystem operations (reads, writes, deletes) All environment variable accesses All network connections attempted All subprocess calls Warnings for suspicious patterns A safety verdict (SAFE / SUSPICIOUS / DANGEROUS)
Integration
Combine with the workflow orchestrator for automated pre-install checks: scan skill โ sandbox run โ review report โ install if safe โ audit log
Limitations
Python skills only (JavaScript/shell support planned) Cannot catch all evasion techniques (obfuscated or delayed execution) Network monitoring requires the skill to use standard Python libraries Not a true OS-level sandbox (use Docker for that level of isolation)
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- scripts/sandbox.py