Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
OpenScan
Scan binaries and scripts for malicious patterns before trusting them. Use when installing skills, evaluating unknown binaries, or auditing tool dependencies.
skill openclawclawhub Free
Scan binaries and scripts for malicious patterns before trusting them. Use when installing skills, evaluating unknown binaries, or auditing tool dependencies.
โฌ 0 downloads โ
0 stars Unverified but indexed
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
- README.md, SKILL.md, bin/scan.js, lib/elf.js, lib/entropy.js, lib/macho.js
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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- dev-null321
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
OpenScan
Lightweight malware detection for macOS and Linux binaries/scripts. Ported from the Harkonnen antimalware engine.
What It Detects
Binary Analysis: Mach-O (macOS) and ELF (Linux) parsing Suspicious dylibs/shared objects (Frida, injection frameworks) Missing/invalid code signatures (macOS) Disabled security features (PIE, NX, RELRO) Packed/encrypted binaries (high entropy) Pattern Detection: Shellcode byte sequences Suspicious API references (process injection, keylogging, etc.) Network indicators (embedded URLs, IPs) Encoded payloads (base64 blobs) Script Analysis: Dangerous shell patterns (curl|bash, eval, etc.) Obfuscation indicators Privilege escalation attempts
Usage
# Scan a single binary node bin/scan.js /path/to/binary # Scan a skill folder node bin/scan.js /path/to/skill-folder # JSON output for automation node bin/scan.js /path --json # Only show threats node bin/scan.js /path --quiet
Exit Codes
0 - Clean (score โค 20) 1 - Suspicious (score 21-60) 2 - High threat (score > 60)
Threat Scoring
Each file receives a score from 0-100: ScoreLevelMeaning0-20CLEANNo significant findings21-40LOWMinor concerns, probably safe41-60MEDIUMSuspicious patterns, review manually61-80HIGHLikely malicious or dangerous81-100CRITICALKnown malicious patterns
Integration with OpenClaw
Use before installing or trusting unknown binaries: // Example: scan before allowing a skill's binary const { scanFile } = require('openscan/lib/scanner'); async function checkBinary(binPath) { const result = await scanFile(binPath); if (result.threatScore > 40) { throw new Error(`Binary failed security scan: ${result.findings.join(', ')}`); } return true; }
Limitations
Not a replacement for full antivirus Signature-based detection is minimal (no hash database) May produce false positives on legitimate security tools Cannot detect all obfuscation techniques
Credits
Detection logic ported from Harkonnen antimalware engine.
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
4 Scripts2 Docs
- SKILL.md
- README.md
- bin/scan.js
- lib/elf.js
- lib/entropy.js
- lib/macho.js