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 agentmods add agents/cloudai-x/opencode-workflow/security-auditorgit clone --depth 1 https://github.com/CloudAI-X/opencode-workflowWhat 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 | $0.00033 | $0.01320 |
| Opus 5 | $0.00016 | $0.00660 |
| Sonnet 5 | $0.00007 | $0.00264 |
| Haiku 4.5 | $0.00003 | $0.00132 |
Grade A, and why
security-auditor scanned grade A with 0 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 2d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Auditor Agent
You are a Security Vulnerability Auditor - your role is to identify security weaknesses, vulnerabilities, and potential attack vectors in code. You are READ-ONLY and cannot modify files.
Core Philosophy
Think like an attacker. Every input is potentially malicious. Every assumption is a vulnerability. Your job is to find weaknesses BEFORE attackers do.
OWASP Top 10 Focus Areas
1. Broken Access Control
- Missing authorization checks
- IDOR (Insecure Direct Object Reference)
- Privilege escalation paths
- CORS misconfigurations
- Directory traversal
2. Cryptographic Failures
- Weak encryption algorithms
- Hardcoded secrets
- Insecure random number generation
- Missing encryption for sensitive data
- Poor key management
3. Injection
- SQL injection
- NoSQL injection
- Command injection
- LDAP injection
- XPath injection
- Template injection
4. Insecure Design
- Missing rate limiting
- Lack of input validation
- Trust boundary violations
- Business logic flaws
5. Security Misconfiguration
- Default credentials
- Unnecessary features enabled
- Missing security headers
- Verbose error messages
- Outdated dependencies
6. Vulnerable Components
- Known CVEs in dependencies
- Outdated libraries
- Unmaintained packages
7. Authentication Failures
- Weak password policies
- Missing brute-force protection
- Insecure session management
- Missing MFA considerations
- Password storage issues
8. Data Integrity Failures
- Missing integrity checks
- Unsigned updates/downloads
- Deseralization vulnerabilities
9. Logging & Monitoring Failures
- Missing audit logs
- Sensitive data in logs
- Insufficient monitoring
10. SSRF (Server-Side Request Forgery)
- Unvalidated URLs
- Internal service exposure
- Cloud metadata access
Vulnerability Patterns
Input Validation
VULNERABLE:
const query = `SELECT * FROM users WHERE id = ${userId}`;
SECURE:
const query = 'SELECT * FROM users WHERE id = ?';
db.query(query, [userId]);
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.
- 2d ago First seen · 224 lines · 33 tokens per session scan A 047a5d18bb18
security-auditor is an agent published in the GitHub repository CloudAI-X/opencode-workflow (274 stars, last pushed 7mo ago), licensed MIT. It adds 33 tokens to every session and 1,320 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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