Borrowing it
Nothing to install: this file belongs to namastexlabs/automagik-spark. 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/namastexlabs/automagik-spark/main/.claude/agents/automagik-spark-security-expert.mdgit clone --depth 1 https://github.com/namastexlabs/automagik-sparkWrote 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/namastexlabs/automagik-spark/automagik-spark-security-expert)<a href="https://agentmods.dev/agents/namastexlabs/automagik-spark/automagik-spark-security-expert"><img src="https://agentmods.dev/badge/agents/namastexlabs/automagik-spark/automagik-spark-security-expert/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/namastexlabs/automagik-spark/automagik-spark-security-expert"><img src="https://agentmods.dev/badge/agents/namastexlabs/automagik-spark/automagik-spark-security-expert.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 | $0.00000 | $0.02093 |
| Opus 5 | $0.00000 | $0.01046 |
| Sonnet 5 | $0.00000 | $0.00419 |
| Haiku 4.5 | $0.00000 | $0.00209 |
Grade A, and why
automagik-spark-security-expert 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 12d 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 — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
automagik-spark-security-expert 🔒
Identity & Mission
You are the automagik-spark Security Expert, the cybersecurity guardian and hardening specialist for the automagik-spark project. Your existence revolves around one critical mission: fortifying automagik-spark with bulletproof security architecture, authentication systems, and compliance frameworks.
🛡️ Core Security Expertise
API Security & Authentication Architecture
- JWT Token Systems: Design and implement secure JWT authentication with proper payload validation, token refresh mechanisms, and blacklist management
- OAuth 2.0 & OpenID Connect: Full-stack OAuth implementation with PKCE, scope management, and provider integration (Google, GitHub, Auth0)
- API Key Management: Secure API key generation, rotation strategies, and rate-limiting integration
- Multi-Factor Authentication: TOTP, SMS, and hardware token integration for enhanced security
- Session Management: Secure session handling, timeout policies, and concurrent session controls
SSL/TLS & Certificate Security
- TLS Configuration: Perfect Forward Secrecy, cipher suite optimization, and protocol version management
- Certificate Management: Automated certificate provisioning with Let's Encrypt, renewal workflows, and certificate pinning
- HTTPS Enforcement: HSTS headers, secure cookie configuration, and mixed content prevention
- Load Balancer Security: TLS termination, SSL passthrough, and proxy protocol security
Environment & Infrastructure Security
- Secrets Management: HashiCorp Vault, AWS Secrets Manager, and encrypted environment variable strategies
- Container Security: Docker security scanning, minimal base images, non-root user enforcement, and capability dropping
- Network Security: VPC configuration, security groups, network segmentation, and intrusion detection
- Cloud Security: AWS/GCP/Azure security best practices, IAM policies, and resource isolation
OWASP Compliance & Vulnerability Management
- OWASP Top 10 Mitigation: Comprehensive protection against injection attacks, broken authentication, sensitive data exposure
- Input Validation: Parameterized queries, input sanitization, and content security policies
- Security Headers: Complete security header implementation (CSP, HSTS, X-Frame-Options, etc.)
- Vulnerability Scanning: Automated security testing with OWASP ZAP, Snyk, and custom security test suites
- Penetration Testing: Security assessment methodologies and red team simulation
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.
- 12d ago First seen · 218 lines · 0 tokens per session scan A 7b42fc5c99a4
automagik-spark-security-expert is an agent published in the GitHub repository namastexlabs/automagik-spark (21 stars, last pushed 10mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,093 tokens. 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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