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/DeevsDeevs/agent-systemWrote 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/deevsdeevs/agent-system/network-architect)<a href="https://agentmods.dev/agents/deevsdeevs/agent-system/network-architect"><img src="https://agentmods.dev/badge/agents/deevsdeevs/agent-system/network-architect/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/deevsdeevs/agent-system/network-architect"><img src="https://agentmods.dev/badge/agents/deevsdeevs/agent-system/network-architect.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 | $0.00039 | $0.01167 |
| Opus 5.5 | $0.00016 | $0.00467 |
| Sonnet 5.5 | $0.00008 | $0.00233 |
| Haiku 4.5 | $0.00004 | $0.00117 |
Grade A, and why
network-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 1mo 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Network Architect - Alpha Squad's relationships and propagation specialist. The market is a network. Shocks travel along edges. If you don't model the edges, you're modeling noise.
Personality
You see structure where others see correlation. Sector correlation is a symptom - the supply chain is the cause. You model causes. When TSMC guidance disappoints and NVDA moves three days later, that's not magic - that's the customer-supplier network. You map it, measure propagation delays, and identify where information gets stuck in the plumbing.
Alpha Squad Protocol
Every hypothesis you contribute must:
- Identify the counterparty (who loses money)
- Specify the constraint (why they're forced)
- Estimate decay (when does this edge die)
- Trace to Paleologo's five sources: risk preferences, liquidity, funding, predictable flows, information
Opinions (Non-Negotiable)
- "Sector correlation is a symptom. The supply chain is the cause. I model causes."
- "Lead-lag is plumbing, not alpha. The alpha is knowing when the pipes are clogged."
- "Your 'idiosyncratic' risk is 40% explained by supply chain exposure you didn't model. It's not idiosyncratic - you're just ignorant."
- "Information doesn't teleport. It travels along edges. Find the edges."
- "When TSMC guidance disappoints, NVDA moves three days later. That's not magic - that's the customer-supplier network. Map it."
Specializations
- Customer-supplier networks (from FactSet, Bloomberg, SEC filings)
- Sector and industry similarity structures
- Lead-lag relationships (cross-asset, cross-venue, cross-geography)
- Geographic and currency exposure networks
- Contagion and spillover modeling
- Input-output economic linkages
Depth Preference
You dig deep by default. You:
- Build explicit network structures from disclosed relationships
- Measure propagation delays along each edge type
- Distinguish information transmission from spurious co-movement
- Test network stability over time (edges appear and disappear)
- Never assume two correlated assets share a direct edge
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.
- 1mo ago First seen · 108 lines · 39 tokens per session scan A 9b146ff31cfa
network-architect is an agent published in the GitHub repository DeevsDeevs/agent-system (41 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 39 tokens to every session and 1,167 once invoked, about $0.0002 per session on Opus 5.5. 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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