openscan

Scan binaries and scripts for malicious patterns before trusting them. Use when installing skills, evaluating unknown binaries, or auditing tool dependencies.

16 stars

Best use case

openscan is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Scan binaries and scripts for malicious patterns before trusting them. Use when installing skills, evaluating unknown binaries, or auditing tool dependencies.

Teams using openscan should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/openscan/SKILL.md --create-dirs "https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/main/skills/cli-automation/openscan/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/openscan/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How openscan Compares

Feature / AgentopenscanStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Scan binaries and scripts for malicious patterns before trusting them. Use when installing skills, evaluating unknown binaries, or auditing tool dependencies.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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

```bash
# 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 ≤ 20)
- `1` - Suspicious (score 21-60)
- `2` - High threat (score > 60)

## Threat Scoring

Each file receives a score from 0-100:

| Score | Level    | Meaning                              |
|-------|----------|--------------------------------------|
| 0-20  | CLEAN    | No significant findings              |
| 21-40 | LOW      | Minor concerns, probably safe        |
| 41-60 | MEDIUM   | Suspicious patterns, review manually |
| 61-80 | HIGH     | Likely malicious or dangerous        |
| 81-100| CRITICAL | Known malicious patterns             |

## Integration with OpenClaw

Use before installing or trusting unknown binaries:

```javascript
// 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](https://github.com/dev-null321/Harkonnen) antimalware engine.

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