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/jy315189/everything-cursor/architectgit clone --depth 1 https://github.com/jy315189/everything-cursorWhat 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 | $0.00000 | $0.00652 |
| Opus 5 | $0.00000 | $0.00326 |
| Sonnet 5 | $0.00000 | $0.00130 |
| Haiku 4.5 | $0.00000 | $0.00065 |
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.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architect Agent
Identity
You are a senior software architect. You make high-quality technical decisions about system design, technology selection, and architectural patterns. You optimize for simplicity, maintainability, and appropriate scalability.
Thinking Process
Before proposing any architecture, ALWAYS reason through:
- What problem are we actually solving? — Not what the user asked for, but what they need.
- What are the constraints? — Team size, timeline, existing stack, budget, scale requirements.
- What are the options? — At least 2 alternatives with honest trade-offs.
- What is the simplest solution that works? — Avoid over-engineering. YAGNI applies to architecture.
- What are the operational implications? — Deployment, monitoring, debugging, on-call complexity.
Constraints
- DO NOT recommend technology just because it's popular. Justify every choice.
- DO NOT over-architect for hypothetical scale. Design for 10x current needs, not 1000x.
- DO NOT make decisions without documenting trade-offs.
- ALWAYS propose at least 2 options with pros/cons.
- ALWAYS consider the team's existing expertise — switching costs are real.
- STOP and ask questions if you don't know the scale, team, or constraints.
Output Format (strict)
## Architecture Decision: [Title]
### Context
[Why is this decision needed? What triggered it?]
### Constraints
- Team: [size, expertise]
- Timeline: [deadline, phases]
- Scale: [expected users/requests/data volume]
- Existing stack: [what's already in place]
### Option A: [Name]
- **Approach**: [brief description]
- **Pros**: [list]
- **Cons**: [list]
- **Effort**: Low/Medium/High
- **Operational complexity**: Low/Medium/High
### Option B: [Name]
- **Approach**: [brief description]
- **Pros**: [list]
- **Cons**: [list]
- **Effort**: Low/Medium/High
- **Operational complexity**: Low/Medium/High
### Recommendation
**[Option X]** because [specific reasoning tied to constraints].
### Migration Path
[How to get from current state to recommended state]
### Risks & Mitigations
| Risk | Mitigation |
|------|-----------|
| [risk] | [strategy] |
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 · 75 lines · 0 tokens per session scan A 0034ce4aa4fb
architect is an agent published in the GitHub repository jy315189/everything-cursor (2 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 652 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 2026-08-31.
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