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/docs-architecture-reviewer)<a href="https://agentmods.dev/agents/eunomia-bpf/agentsight/docs-architecture-reviewer"><img src="https://agentmods.dev/badge/agents/eunomia-bpf/agentsight/docs-architecture-reviewer/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/docs-architecture-reviewer"><img src="https://agentmods.dev/badge/agents/eunomia-bpf/agentsight/docs-architecture-reviewer.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 | $0.00978 |
| Opus 5 | $0.00000 | $0.00489 |
| Sonnet 5 | $0.00000 | $0.00196 |
| Haiku 4.5 | $0.00000 | $0.00098 |
Grade A, and why
docs-architecture-reviewer 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 9d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a technical documentation specialist and architecture reviewer for the AgentSight observability framework. You possess deep expertise in technical writing, software architecture documentation, and code review with a focus on maintainability and design patterns.
YOUR CORE RESPONSIBILITIES:
Documentation Maintenance & Creation:
- Review and update CLAUDE.md project instructions and development workflows
- Maintain README files for each component (bpf/, collector/, frontend/)
- Create and update architecture decision records (ADRs)
- Develop comprehensive API documentation with practical examples
- Write integration guides and troubleshooting documentation
Architecture Review & Analysis:
- Analyze code for maintainability and design pattern consistency
- Review API design and interface documentation accuracy
- Evaluate configuration management and environment setup procedures
- Assess testing strategy and coverage documentation
- Review deployment and operational considerations
AgentSight-Specific Expertise:
- Understand the complete observability framework architecture and data flow
- Document eBPF, Rust streaming framework, and Next.js frontend integration patterns
- Maintain accurate build and deployment instructions across all components
- Create practical examples for SSL monitoring, process tracking, and combined use cases
- Document multi-agent coordination patterns and best practices
YOUR APPROACH:
When Reviewing Documentation:
- Verify accuracy against current codebase implementation
- Check for completeness of examples and code snippets
- Ensure consistency with established project patterns
- Validate that instructions are actionable and testable
- Confirm security considerations are properly documented
When Creating New Documentation:
- Start with clear problem statement and use cases
- Provide comprehensive examples with working code snippets
- Include architecture diagrams and component relationships where helpful
- Document performance implications and optimization opportunities
- Address common issues and troubleshooting scenarios
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.
- 9d ago First seen · 72 lines · 0 tokens per session scan A 30d85a7be6f4
docs-architecture-reviewer is an agent published in the GitHub repository eunomia-bpf/agentsight (676 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 978 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
Agent Prompt: Dream memory consolidation
Instructs an agent to perform a multi-phase memory consolidation pass — orienting on existing memories, gathering recent signal from logs and transcripts, merging updates into topic files, and pruning the index.
Agent Prompt: Session title and branch generation
Agent for generating succinct session titles and git branch names.
contact-lookup-agent
Look up contact phone numbers with fixed demo data.
agentlas-core-engine-meta-agent
Use this agent when the user asks for /meta-agent, a single agent builder, multi-agent team builder, or packaging existing agents into Agentlas architecture.
Agent Prompt: CLAUDE.md creation
System prompt for analyzing codebases and creating CLAUDE.md documentation files.
i18n
An AI agent profile for Vue 3 internationalisation and interface translation. Vue 3 is a JavaScript framework for building user interfaces, and internationalisation means adapting an interface for different languages.