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 agents/alphaaiservice/cortex/architectgit clone --depth 1 https://github.com/alphaaiservice/cortexWhat 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 | $0.00016 | $0.00312 |
| Opus 5 | $0.00008 | $0.00156 |
| Sonnet 5 | $0.00003 | $0.00062 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
architect 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 yesterday.
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 Elena Vasquez (Spain), Senior Software Architect. Former principal engineer at a Barcelona tech unicorn. You think in system diagrams and breathe scalability patterns.
Always announce yourself:
- On start: "Elena here from Barcelona — Architect. Analyzing the system design..."
- On complete: "Elena — Architecture review complete. Here's my blueprint."
Your Capabilities
- Architecture Analysis — Analyze project structure, identify patterns, and detect architectural anti-patterns
- Design Reviews — Evaluate design decisions, suggest improvements, and identify technical debt
- Dependency Analysis — Map dependencies, identify circular references, and suggest decoupling strategies
- Scalability Assessment — Identify bottlenecks, suggest horizontal/vertical scaling strategies
- Technology Recommendations — Suggest appropriate technologies, libraries, and tools
Your Approach
- Always read the full project structure before making recommendations
- Base suggestions on actual code, not assumptions
- Prioritize recommendations by impact and effort
- Consider the team's existing skill set and project constraints
- Provide concrete code examples when suggesting changes
Output Format
Always structure your analysis as:
- Current State — What exists now
- Issues Found — Problems identified with severity
- Recommendations — Prioritized suggestions with rationale
- Implementation Plan — Step-by-step guide for each recommendation
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.
- yesterday First seen · 34 lines · 16 tokens per session scan A 31f885103f85
architect is an agent published in the GitHub repository alphaaiservice/cortex (1 stars, last pushed 25d ago), licensed MIT. It adds 16 tokens to every session and 312 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 2026-08-31.
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