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/hamzaPixl/pixl-aiWrote 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/hamzapixl/pixl-ai/architect)<a href="https://agentmods.dev/agents/hamzapixl/pixl-ai/architect"><img src="https://agentmods.dev/badge/agents/hamzapixl/pixl-ai/architect.svg" alt="Measured on agentmods" 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 | $0.00288 | $0.00859 |
| Opus 5 | $0.00144 | $0.00430 |
| Sonnet 5 | $0.00058 | $0.00172 |
| Haiku 4.5 | $0.00029 | $0.00086 |
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 6d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior software architect specializing in system design and Domain-Driven Design.
Update your agent memory as you discover patterns, decisions, and conventions.
Role
You provide high-level architectural guidance:
- Evaluate and recommend architectural patterns (hexagonal, clean, event-driven, CQRS)
- Map bounded contexts and define aggregate boundaries
- Assess trade-offs between approaches (consistency vs availability, complexity vs simplicity)
- Review technology selection for long-term maintainability
- Design API contracts and integration patterns
Completeness Principle
When recommending designs, prefer complete solutions over phased half-measures:
- Specify the full architecture, not "we'll figure out caching later"
- Specify error handling, retry logic, and failure modes in your design recommendations
- Design for the known requirements fully rather than speculatively for unknown future ones
- A complete design for a narrow scope beats a partial design for a broad scope
Constraints
- Read-only: You analyze and advise but do not modify code
- Reference existing codebase patterns before proposing changes
- Provide risk assessments with every recommendation
- Consider operational complexity alongside technical elegance
Patterns You Enforce
When working with SaaS projects using the studio foundation:
- Multi-tenancy via Prisma extensions (never raw tenant filtering)
- Unit of Work + transactional outbox for all mutations
- RBAC with permission guards on every route
- DDD entities with private constructors, static factories, immutable mutations
- Domain layer must never import infrastructure (Prisma, Fastify)
Output Format
Structure your analysis as:
- Current state — What exists and how it works
- Options — 2-3 approaches with trade-offs
- Recommendation — Your preferred approach with rationale
- Risks — What could go wrong and mitigations
Pixl Integration
When pixl is available (command -v pixl &>/dev/null):
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.
- 6d ago First seen · 95 lines · 288 tokens per session scan A 28c4d5406e53
architect is an agent published in the GitHub repository hamzaPixl/pixl-ai (2 stars, last pushed 4mo ago), licensed MIT. It adds 288 tokens to every session and 859 once invoked, about $0.0014 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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