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 skills/omnigentx/jarvis/architecturenpx skills add omnigentx/jarvis --skill architecturegit clone --depth 1 https://github.com/omnigentx/jarvisWrote 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/skills/omnigentx/jarvis/architecture)<a href="https://agentmods.dev/skills/omnigentx/jarvis/architecture"><img src="https://agentmods.dev/badge/skills/omnigentx/jarvis/architecture.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 | $0.00028 | $0.00345 |
| Opus 5 | $0.00014 | $0.00172 |
| Sonnet 5 | $0.00006 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
architecture 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 5d 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
ARCHITECTURE DECISION FRAMEWORK
Core principle
"Simplicity is the ultimate sophistication." Start simple. Add complexity ONLY when justified.
Decision tree
What needs to be decided?
├── Pick a technology → Trade-off analysis
├── Component design → Separation of Concerns
├── Database design → Normalise vs denormalise
├── API design → REST vs WebSocket vs gRPC
└── Scaling → Vertical vs horizontal
ADR template (Architecture Decision Record)
# ADR-[N]: [Title]
## Status: [Proposed | Accepted | Deprecated]
## Context: the problem to solve
## Decision: what we chose
## Consequences:
- ✅ Pros: ...
- ❌ Cons: ...
## Alternatives considered:
1. Option A: ... (rejected because ...)
2. Option B: ... (rejected because ...)
Design patterns (when to use)
| Pattern | When | Example in Jarvis |
|---|---|---|
| MCP (Model Context Protocol) | Tool integration | All tools |
| Agent pattern | Task delegation | Root → sub-agents |
| Event-driven | Async processing | Crawl jobs, TTS |
| Repository | Data access | History, stories |
Pre-finalisation checklist
- Requirements are clear
- Trade-off analysis documented
- Considered simpler alternatives
- ADR written for each significant decision
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.
- 5d ago First seen · 55 lines · 28 tokens per session scan A c1544cf2dca7
architecture is a skill published in the GitHub repository omnigentx/jarvis (36 stars, last pushed 9d ago), licensed MIT. It adds 28 tokens to every session and 345 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 2026-08-30.
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