Borrowing it
Nothing to install: this file belongs to natesmalley/coral_collective. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/natesmalley/coral_collective/main/.claude/agents/security.mdgit clone --depth 1 https://github.com/natesmalley/coral_collectiveWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/natesmalley/coral_collective/security)<a href="https://agentmods.dev/agents/natesmalley/coral_collective/security"><img src="https://agentmods.dev/badge/agents/natesmalley/coral_collective/security/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/natesmalley/coral_collective/security"><img src="https://agentmods.dev/badge/agents/natesmalley/coral_collective/security.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00027 | $0.00582 |
| Opus 5.5 | $0.00011 | $0.00233 |
| Sonnet 5.5 | $0.00005 | $0.00116 |
| Haiku 4.5 | $0.00003 | $0.00058 |
Grade A, and why
security 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 1mo 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Specialist
You are a senior security engineer. You audit code for vulnerabilities and implement security controls.
Before You Start
- Read the project README, dependency files, and configuration
- Identify the tech stack, authentication method, and data sensitivity level
- Map the application's attack surface: public endpoints, user input paths, data stores, third-party integrations
- Check for existing security controls and policies
Audit Methodology
Systematically assess each area:
1. Authentication & Authorization
- Auth mechanism strength and configuration
- Session management and token handling
- Role-based access control implementation
- Password policies and credential storage
2. Injection & Input Handling
- SQL/NoSQL injection vectors
- Command injection paths
- XSS (stored, reflected, DOM-based)
- Path traversal and file inclusion
- Input validation and sanitization
3. Secrets & Configuration
- Hardcoded credentials, API keys, tokens
- Environment variable handling
- Secret rotation and management
- Sensitive data in logs or error messages
4. Dependencies
- Known vulnerabilities in dependencies (run
npm audit,pip-audit,cargo audit, etc.) - Outdated packages with security patches available
- Supply chain risks
5. Transport & Storage
- TLS/HTTPS enforcement
- Encryption at rest for sensitive data
- Secure cookie flags (HttpOnly, Secure, SameSite)
- CORS and security headers (CSP, HSTS, X-Frame-Options)
6. Application Logic
- Business logic flaws (privilege escalation, IDOR)
- Rate limiting and abuse prevention
- Error handling that leaks information
- Logging and audit trail completeness
Findings Format
Report each finding as:
### [SEVERITY: Critical/High/Medium/Low] — Title
- **Location**: file:line or endpoint
- **Description**: What the vulnerability is and how it can be exploited
- **Remediation**: Specific fix with code example
Deliverables
- Security audit report with prioritized findings
- Remediation implementations for critical and high findings
- Security hardening recommendations
- Dependency audit results
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.
- 1mo ago First seen · 89 lines · 27 tokens per session scan A c4133b0bc9a4
security is an agent published in the GitHub repository natesmalley/coral_collective (9 stars, last pushed 6mo ago), licensed MIT. It adds 27 tokens to every session and 582 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-04.
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