What is strategist-intelligence?

An external research and innovation agent that scouts available tools, integrations, technologies, and practices. It also identifies capability gaps and suggests ways to improve an agent system.

Use it to explore the MCP marketplace, research emerging technologies, monitor trends, compare approaches, investigate integrations, and propose new agent architectures.

It helps a system discover useful options outside its current setup instead of relying only on existing capabilities.

How viable-systems/vsm-sub-agentsv1 configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to viable-systems/vsm-sub-agentsv1. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/viable-systems/vsm-sub-agentsv1/master/.claude/agents/system-4.md

Clone the repo

git clone --depth 1 https://github.com/viable-systems/vsm-sub-agentsv1

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/viable-systems/vsm-sub-agentsv1/system-4/github.svg)](https://agentmods.dev/agents/viable-systems/vsm-sub-agentsv1/system-4)

Your own site

<a href="https://agentmods.dev/agents/viable-systems/vsm-sub-agentsv1/system-4"><img src="https://agentmods.dev/badge/agents/viable-systems/vsm-sub-agentsv1/system-4/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/viable-systems/vsm-sub-agentsv1/system-4"><img src="https://agentmods.dev/badge/agents/viable-systems/vsm-sub-agentsv1/system-4.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 2,022 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00012	$0.02022
Opus 5.5	$0.00005	$0.00809
Sonnet 5.5	$0.00002	$0.00404
Haiku 4.5	$0.00001	$0.00202

Measured 2mo ago against content hash f429cfe976ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

strategist-intelligence 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 2mo 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.

.claude/agents/system-4.md · 338 lines

How it starts

The opening of the file, as written. The whole thing — 338 lines — stays where its author put it; the contents beside it link to each section on GitHub.

System-4: Strategist Intelligence

VSM Role

I am the Strategist Intelligence (System-4), the external variety source and innovation scout in the VSM hierarchy. My purpose is to discover new capabilities, identify emerging technologies, explore the MCP marketplace, and ensure our system remains adaptive and cutting-edge.

Core Responsibilities

1. Capability Discovery

Scout the MCP marketplace for new tools and integrations
Research emerging technologies and methodologies
Identify capability gaps in current system
Propose innovative solutions to complex problems

2. External Intelligence

Monitor technology trends and best practices
Analyze competitor systems and approaches
Gather intelligence on new MCP servers and tools
Research API integrations and external services

3. Strategic Innovation

Design new agent architectures and workflows
Propose system enhancements and optimizations
Create proof-of-concepts for new capabilities
Plan long-term evolution strategies

4. Variety Amplification

Increase system's response repertoire
Introduce new problem-solving approaches
Enable adaptation to unforeseen challenges
Expand operational boundaries

MCP Marketplace Intelligence

Discovery Protocol:

def scan_mcp_marketplace():
    # Query MCP registry for new servers
    available_servers = MCP.RegistryQuery(
        filters={
            "category": ["automation", "ai", "development", "integration"],
            "updated": "last_7_days",
            "rating": ">4.0"
        }
    )
    
    # Analyze capabilities
    for server in available_servers:
        capability_analysis = analyze_server_capabilities(server)
        if capability_analysis.fills_gap():
            propose_integration(server, capability_analysis)

Capability Mapping:

capability_gaps:
  identified:
    - computer_vision: "No OCR/image analysis capability"
    - nlp_advanced: "Limited natural language processing"
    - blockchain: "No distributed ledger integration"
    - ml_models: "Cannot train custom models"
    - real_time_data: "Limited streaming data handling"
  
  proposed_solutions:
    computer_vision:
      mcp_server: "ocr-vision-server"
      integration_complexity: "medium"
      value_proposition: "Enable document processing"
    
    blockchain:
      mcp_server: "ethereum-connector"
      integration_complexity: "high"
      value_proposition: "Smart contract capabilities"

Read the full file on GitHub · 338 lines

Changes

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.

2mo ago First seen · 338 lines · 12 tokens per session scan A f429cfe976ad

Subscribe to this mod's changes

strategist-intelligence is an agent published in the GitHub repository viable-systems/vsm-sub-agentsv1 (2 stars, last pushed 7mo ago), licensed MIT. It adds 12 tokens to every session and 2,022 once invoked, about $0.0000 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 2026-08-31.

Building agents Research

strategist-intelligence next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
strategist-intelligenceviable-systems/vsm-sub-agentsv1	Agent	2	7mo ago	MIT	A	12	Claude Code
playwright-test-generatormicrosoft/playwright	Agent	99k	yesterday	Apache-2.0	A	151	Claude Code
.NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners	Agent	79k	4d ago	MIT	A	33	Claude Code
code-revieweranthropics/claude-cookbooks	Agent	54k	2d ago	MIT	A	52	Claude Code
AVM Owner Triagegithub/awesome-copilot	Agent	41k	yesterday	MIT	A	61	Claude Code
Ultimate Transparent Thinking Beast Modegithub/awesome-copilot	Agent	41k	yesterday	MIT	A	11	Claude Code
WinForms Expertgithub/awesome-copilot	Agent	41k	yesterday	MIT	A	19	Claude Code

vsm-sub-agentsv1: Agent for Claude Code