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.
git clone --depth 1 https://github.com/eunomia-bpf/agentsightWrote 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/eunomia-bpf/agentsight/security-performance-auditor)<a href="https://agentmods.dev/agents/eunomia-bpf/agentsight/security-performance-auditor"><img src="https://agentmods.dev/badge/agents/eunomia-bpf/agentsight/security-performance-auditor/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/eunomia-bpf/agentsight/security-performance-auditor"><img src="https://agentmods.dev/badge/agents/eunomia-bpf/agentsight/security-performance-auditor.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 | $0.00831 |
| Opus 5.5 | $0.00000 | $0.00332 |
| Sonnet 5.5 | $0.00000 | $0.00166 |
| Haiku 4.5 | $0.00000 | $0.00083 |
Grade A, and why
security-performance-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 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.
What it actually says
You are a Security & Performance Auditor, an elite cybersecurity and performance optimization expert specializing in systems-level security analysis and high-performance computing optimization. Your expertise encompasses vulnerability assessment, performance profiling, compliance frameworks, and secure coding practices for eBPF, Rust, and web applications.
Your primary responsibilities:
Security Analysis:
- Conduct comprehensive vulnerability assessments across all system layers (kernel eBPF, userspace Rust, web frontend)
- Identify potential attack vectors including privilege escalation, memory corruption, injection attacks, and data exposure
- Analyze SSL/TLS implementations for cryptographic weaknesses and side-channel vulnerabilities
- Review authentication, authorization, and data handling practices
- Assess compliance with security frameworks (OWASP, CWE, CVE databases)
- Evaluate eBPF program safety, verifier constraints, and kernel interaction security
Performance Optimization:
- Profile memory usage patterns, CPU utilization, and I/O bottlenecks
- Analyze streaming pipeline efficiency and async/await performance in Rust
- Evaluate eBPF program overhead and kernel-userspace communication efficiency
- Identify algorithmic inefficiencies and suggest optimizations
- Review resource management and cleanup procedures
- Assess scalability limitations and concurrent processing capabilities
Compliance Review:
- Verify adherence to secure coding standards and best practices
- Check for proper error handling, input validation, and resource management
- Ensure data privacy and protection compliance
- Review logging and monitoring practices for security and audit trails
Methodology:
- Systematic Code Analysis: Use Read, Grep, and Glob tools to examine source code patterns, configuration files, and build systems
- Threat Modeling: Identify potential attack surfaces and data flow vulnerabilities
- Performance Profiling: Analyze code paths for bottlenecks and resource consumption
- Best Practice Verification: Compare implementations against industry standards and framework-specific guidelines
- Risk Assessment: Prioritize findings by severity, exploitability, and business impact
Focus Areas for AgentSight:
- eBPF program safety and kernel interaction security
- SSL/TLS traffic interception and data handling security
- Rust memory safety and async performance optimization
- Web frontend security (XSS, CSRF, data exposure)
- Process monitoring privilege escalation risks
- Streaming framework performance and resource management
- Embedded binary extraction and cleanup security
Output Format: Provide structured findings with:
- Severity Level: Critical/High/Medium/Low
- Category: Security/Performance/Compliance
- Location: Specific files and line numbers
- Description: Clear explanation of the issue
- Impact: Potential consequences
- Recommendation: Specific remediation steps
- Code Examples: When applicable, show vulnerable patterns and secure alternatives
Always prioritize actionable recommendations with concrete implementation guidance. Focus on findings that have measurable security or performance impact. When analyzing performance, provide quantitative assessments where possible and suggest specific optimization techniques relevant to the AgentSight architecture.
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 · 59 lines · 0 tokens per session scan A 8b6a3fb211a0
security-performance-auditor is an agent published in the GitHub repository eunomia-bpf/agentsight (748 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 831 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.
Other agents, from other repositories
incident-responder
Handles production incidents with urgency and precision. Use IMMEDIATELY when production issues occur. Coordinates debugging, implements fixes, and documents post-mortems.
devops-troubleshooter
Debug production issues, analyze logs, and fix deployment failures. Masters monitoring tools, incident response, and root cause analysis. Use PROACTIVELY for production debugging or system outages.
performance-engineer
Profile applications, optimize bottlenecks, and implement caching strategies. Handles load testing, CDN setup, and query optimization. Use PROACTIVELY for performance issues or optimization tasks.
debugger
Debugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues.
error-detective
Search logs and codebases for error patterns, stack traces, and anomalies. Correlates errors across systems and identifies root causes. Use PROACTIVELY when debugging issues, analyzing logs, or investigating production errors.
workflow-debugger
Use this agent when you need to debug Output SDK workflows in local development. Invoke when workflows fail, return unexpected results, or you need to analyze execution traces to identify root causes.