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 commands/cloudai-x/opencode-workflow/security-auditgit 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 | $0.00010 | $0.00856 |
| Opus 5 | $0.00005 | $0.00428 |
| Sonnet 5 | $0.00002 | $0.00171 |
| Haiku 4.5 | $0.00001 | $0.00086 |
Grade A, and why
security-audit 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Audit Command
Perform a comprehensive security audit of the codebase or specific files, checking for OWASP Top 10 vulnerabilities and common security issues.
Phase 1: Scope Identification
Determine audit scope:
- If
$ARGUMENTSprovided, focus on specified files/directories - If no arguments, audit recently changed files via
git diff --name-only HEAD~5 - Identify file types and relevant security concerns for each
Phase 2: OWASP Top 10 Analysis
Check for each OWASP Top 10 (2021) vulnerability:
A01: Broken Access Control
- Missing authorization checks
- IDOR vulnerabilities
- Path traversal risks
- Privilege escalation possibilities
A02: Cryptographic Failures
- Hardcoded secrets or API keys
- Weak encryption algorithms
- Missing encryption for sensitive data
- Insecure random number generation
A03: Injection
- SQL injection vectors
- Command injection risks
- XSS vulnerabilities
- Template injection
- LDAP/XML injection
A04: Insecure Design
- Missing rate limiting
- Lack of input validation
- Trust boundary violations
- Missing security controls
A05: Security Misconfiguration
- Debug mode in production
- Default credentials
- Overly permissive CORS
- Missing security headers
- Exposed error messages
A06: Vulnerable Components
- Check package.json / requirements.txt / go.mod for known vulnerabilities
- Outdated dependencies
- Deprecated functions
A07: Authentication Failures
- Weak password policies
- Missing MFA considerations
- Session management issues
- Credential stuffing vectors
A08: Software and Data Integrity Failures
- Missing integrity checks
- Insecure deserialization
- Unsigned updates or data
A09: Security Logging Failures
- Missing audit logs
- Sensitive data in logs
- Insufficient monitoring
A10: Server-Side Request Forgery (SSRF)
- Unvalidated URLs
- Internal network access risks
- Cloud metadata exposure
Phase 3: Code Pattern Analysis
Search for dangerous patterns:
Patterns to detect:
- eval(), exec(), system() calls with user input
- Unsanitized SQL queries
- innerHTML with user data
- Disabled security features (verify=False, etc.)
- Hardcoded credentials (password=, secret=, api_key=)
- Debug/verbose modes
- TODO/FIXME security comments
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 · 154 lines · 10 tokens per session scan A 1c33c3f71290
security-audit is a command published in the GitHub repository CloudAI-X/opencode-workflow (274 stars, last pushed 7mo ago), licensed MIT. It adds 10 tokens to every session and 856 once invoked, about $0.0001 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.