foundations-cybernetics-vsm

foundations-cybernetics-vsm is a skill for Codex from vasilyu1983/AI-Agents-public. It costs 46 tokens per session (6,758 once invoked), scanned A, original, MIT.

A set of 11 cybernetics and Viable System Model concepts for diagnosing whether an organisation or group of software agents can coordinate, adapt, and remain workable.

In plain words
What is it for?
Use it to examine team and agent hierarchies, feedback channels, decision authority, and coordination across nested organisational levels.
Why use it?
It helps locate failures in escalation, control, coordination, or handling changing demands when individual people or agents seem capable on their own.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to examine team and agent hierarchies, feedback channels, decision authority, and coordination across nested organisational levels.

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Install with agentmods
npx agentmods add skills/vasilyu1983/ai-agents-public/foundations-cybernetics-vsm
Install

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.

Any agent
npx skills add vasilyu1983/AI-Agents-public --skill foundations-cybernetics-vsm
Clone the repo
git clone --depth 1 https://github.com/vasilyu1983/AI-Agents-public

Made for: Codex.

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.

agentmods badge for foundations-cybernetics-vsm

README.md
[![agentmods](https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/foundations-cybernetics-vsm/github.svg)](https://agentmods.dev/skills/vasilyu1983/ai-agents-public/foundations-cybernetics-vsm)
Your own site
<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/foundations-cybernetics-vsm"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/foundations-cybernetics-vsm/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.

agentmods 80×15 button for foundations-cybernetics-vsm

Your own site · 80×15
<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/foundations-cybernetics-vsm"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/foundations-cybernetics-vsm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,758 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.06758
Opus 5 $0.00023 $0.03379
Sonnet 5 $0.00009 $0.01352
Haiku 4.5 $0.00005 $0.00676

Measured 9d ago against content hash 6f3a2702e322, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

foundations-cybernetics-vsm 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 9d 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.

frameworks/shared-skills/skills/foundations-cybernetics-vsm/SKILL.md · 280 lines

How it starts

The opening of the file, as written. The whole thing — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cybernetics and Viable System Model Foundations

When to Apply

Apply cybernetics-VSM when:

  • Org or agent-system steering question — viability, requisite variety, escalation paths
  • "Why does this team/system keep failing despite individual competence?" — likely missing S2/S3*/S4
  • Recursion across levels — same control pattern at squad / department / company
  • Algedonic channel design — when does a critical signal bypass hierarchy and reach S5 directly?
  • Variety-engineering — orchestrator levers vs environment variety (Ashby's Law)

Skip and use simpler alternatives when:

  • Single team, no recursion, no orchestration question — VSM is overkill
  • Org-design question is purely about reporting lines — use a simple RACI, not VSM
  • Throughput/bottleneck question — use foundations-theory-of-constraints
  • Strategic-interaction question between agents — use foundations-game-theory
  • Feedback-loop tuning on a measurable variable — use foundations-control-theory
  • The framing imports VSM jargon (S1-S5) without an actual variety/viability problem — risk of decoration; demand the failure signal first

11 canonical cybernetics and VSM primitives for designing viable organizations, control hierarchies, and adaptive systems. Each primitive solves a specific failure mode in how complexity is absorbed, coordinated, and governed. Primitives are domain-agnostic: the same variety-engineering pattern that prevents management overload in an enterprise also prevents orchestrator bottlenecks in an agent swarm; the same algedonic channel that surfaces crises to a board surfaces production incidents to an on-call team.

Contents

Read the full file on GitHub · 280 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.

  1. 9d ago First seen · 280 lines · 46 tokens per session scan A 6f3a2702e322

Subscribe to this mod's changes

foundations-cybernetics-vsm is a skill published in the GitHub repository vasilyu1983/AI-Agents-public (87 stars, last pushed 10d ago), licensed MIT. It adds 46 tokens to every session and 6,758 once invoked, about $0.0002 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 2026-09-03.

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