foundations-reliability-theory

foundations-reliability-theory is a skill for Codex from vasilyu1983/AI-Agents-public. It costs 46 tokens per session (8,887 once invoked), scanned A, original, MIT.

A set of mathematical methods for measuring failure, repair time, risk, and service availability.

In plain words
What is it for?
Use it to calculate MTBF, MTTR, availability, hazards, fault trees, redundancy, error budgets, Weibull patterns, and SLOs.
Why use it?
It helps model whether hardware or software components can meet reliability targets and where failures may affect the whole system.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to calculate MTBF, MTTR, availability, hazards, fault trees, redundancy, error budgets, Weibull patterns, and SLOs.

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Install with agentmods
npx agentmods add skills/vasilyu1983/ai-agents-public/foundations-reliability-theory
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-reliability-theory
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-reliability-theory

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/foundations-reliability-theory"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/foundations-reliability-theory.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 8,887 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 $0.08887
Opus 5 $0.00023 $0.04444
Sonnet 5 $0.00009 $0.01777
Haiku 4.5 $0.00005 $0.00889

Measured 9d ago against content hash 74c7ca3d1346, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

foundations-reliability-theory 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-reliability-theory/SKILL.md · 314 lines

How it starts

The opening of the file, as written. The whole thing — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reliability Theory Foundations

11 reliability theory primitives covering the mathematics of failure, availability, and repair. Each primitive is domain-agnostic: the same MTBF/MTTR arithmetic that governs hardware maintenance governs SLO budget calculation; the same fault tree that maps a safety system maps a payment pipeline's SPOF paths.

Contents


Quick Reference

# Primitive When to Reach for It
1 MTBF / MTTR Measuring how often a system fails and how long it takes to recover
2 Availability Formulas Converting MTBF/MTTR into a percentage; composing series and parallel components
3 Hazard Functions Classifying current failure rate shape (constant / increasing / decreasing)
4 Bathtub Curve Identifying the lifecycle phase (infant mortality / useful life / wear-out)
5 Fault Tree Analysis Tracing a top event backwards to root causes; finding single points of failure
6 FMEA Enumerating failure modes bottom-up and ranking by RPN before launch
7 Redundancy Math Sizing active/standby/k-of-n redundancy; checking coverage sensitivity
8 Error Budgets Deriving SRE error budget from SLO; computing multi-window burn rate
9 Weibull Analysis Fitting lifetime data to a distribution; estimating B10 life and phase
10 System Reliability Combining component reliabilities through series/parallel/mixed topologies
11 Reliability Allocation Apportioning a system reliability target to subsystems

Read the full file on GitHub · 314 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 · 314 lines · 46 tokens per session scan A 74c7ca3d1346

Subscribe to this mod's changes

foundations-reliability-theory 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 8,887 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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