Orac Safety Layer — AI Agent Security API (Code Audit) is a paid API for AI agents from orac-safety.orac.workers.dev, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-12).
Audits skill source code for security vulnerabilities, returning a risk score, severity-bucketed findings, and a PASS/FAIL verdict
Audit skill source code for security vulnerabilities
Returns a JSON object with a meta block (service version, filename, lines of code, number of patterns checked), a summary of findings by severity (low, medium, high, critical), a PASS/FAIL verdict, an array of detailed findings each with an ID, severity, and description, and an overall numeric risk score from 0–100.
POSThttps://orac-safety.orac.workers.dev/v1/audit?utm_source=zero.xyzUse this endpoint when you need static security analysis of AI agent skill source code specifically — especially when checking for credential exfiltration, unsafe fetch patterns, or other agent-specific attack vectors before deployment. Prefer this over generic SAST tools when auditing skills in the AI agent ecosystem context.
| Field | Type | Description |
|---|---|---|
| coderequired | string | Source code to audit for security vulnerabilities |
| filename | string | Original filename (for context in report) |
{
"meta": {
"service": "orac-safety-layer",
"version": "1.0.0",
"filename": "skill.js",
"linesOfCode": 2,
"patternsChecked": 16
},
"summary": {
"low": 0,
"high": 1,
"medium": 0,
"critical": 1
},
"verdict": "FAIL",
"findings": [
{
"id": "CRED_EXFIL",
"severity": "critical",
"description": "Potential credential exfiltration via fetch()"
}
],
"riskScore": 77
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