chaos-resilience-testing

chaos-resilience-testing is a skill for Claude Code, Codex from jterratsdev/ableton-live-mcp. It costs 0 tokens per session (946 once invoked), scanned A, original, MIT.

A guide to testing how workflows and services behave when something fails. Fault injection means deliberately creating conditions such as timeouts, unavailable providers, rate limits, exhausted budgets, stale data, or corrupted state.

In plain words
What is it for?
Use it to design repeatable resilience tests for APIs, providers, approval flows, policies, audits, tenant isolation, regulated processes, and offline operation.
Why use it?
It shows whether important operations fail safely, retry within limits, recover, or stop when continuing could cause harm. It also defines different handling for security-sensitive and optional features.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to design repeatable resilience tests for APIs, providers, approval flows, policies, audits, tenant isolation, regulated processes, and offline operation.

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Install with agentmods
npx agentmods add skills/jterratsdev/ableton-live-mcp/chaos-resilience-testing
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 jterratsdev/ableton-live-mcp --skill chaos-resilience-testing
Clone the repo
git clone --depth 1 https://github.com/jterratsdev/ableton-live-mcp

Made for: Claude Code, 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 chaos-resilience-testing

README.md
[![agentmods](https://agentmods.dev/badge/skills/jterratsdev/ableton-live-mcp/chaos-resilience-testing/github.svg)](https://agentmods.dev/skills/jterratsdev/ableton-live-mcp/chaos-resilience-testing)
Your own site
<a href="https://agentmods.dev/skills/jterratsdev/ableton-live-mcp/chaos-resilience-testing"><img src="https://agentmods.dev/badge/skills/jterratsdev/ableton-live-mcp/chaos-resilience-testing/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 chaos-resilience-testing

Your own site · 80×15
<a href="https://agentmods.dev/skills/jterratsdev/ableton-live-mcp/chaos-resilience-testing"><img src="https://agentmods.dev/badge/skills/jterratsdev/ableton-live-mcp/chaos-resilience-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 946 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00946
Opus 5 $0.00000 $0.00473
Sonnet 5 $0.00000 $0.00189
Haiku 4.5 $0.00000 $0.00095

Measured 9d ago against content hash 4ce6ca2d1c45, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

chaos-resilience-testing 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.

skills/chaos-resilience-testing/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Chaos Resilience Testing

Design deterministic failure scenarios that prove workflows, APIs, providers, gates, budgets, and regulated flows degrade safely.

When To Load

  • Trigger: chaos
  • Trigger: resilience
  • Trigger: fault injection
  • Trigger: failure mode
  • Trigger: provider timeout
  • Trigger: provider unavailable
  • Trigger: offline mode
  • Trigger: circuit breaker
  • Trigger: rate limit
  • Trigger: budget exhaustion
  • Trigger: approval race
  • Trigger: policy failure
  • Trigger: audit failure
  • Trigger: stale data
  • Trigger: corrupted state
  • Trigger: tenant isolation
  • Trigger: regulated flow

Procedure

  1. Identify the task, acceptance criteria, impacted runtime surfaces, and the user-visible or release-critical outcome that must survive failure.
  2. Classify each failure as one of:
    • fail closed: security, approvals, regulated authority, secrets, PII/PHI, payment, policy, tenant isolation, or destructive actions;
    • degrade with recovery: optional enrichment, UI panels, advisory features, non-critical telemetry, or external references;
    • retry with bounds: transient provider/API, storage, webhook, or scheduler failures with explicit timeout, backoff, and retry limits.
  3. Select deterministic scenarios before implementation. Prefer controlled stubs, fake providers, injected stores, fixture corruption, and bounded timeout simulation over random production-style fault injection.
  4. For each scenario, define:
    • fault injected;
    • expected behavior;
    • expected user/operator message;
    • expected audit/event/evidence output;
    • recovery path;
    • acceptance criteria covered.
  5. Validate at least the relevant categories:
    • provider/model timeout or unavailable provider;
    • external API/network unavailable;
    • corrupted or partially written local state;
    • stale reads or cache mismatch;
    • concurrent update/approval race;
    • budget/rate-limit exhaustion;
    • policy engine denial or failure;
    • audit/event write failure;
    • offline mode with optional sources unavailable;
    • tenant/regulatory boundary enforcement.
  6. Capture observable evidence. A passing command alone is not enough; prove the final state, emitted event, user message, skipped activation, blocked gate, or recovery artifact.
  7. Record unresolved resilience gaps with owner, severity, release impact, and whether Product/Security/Compliance accepted the risk.

Read the full file on GitHub · 128 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 128 lines · 0 tokens per session scan A 4ce6ca2d1c45

Subscribe to this mod's changes

chaos-resilience-testing is a skill published in the GitHub repository jterratsdev/ableton-live-mcp (0 stars, last pushed 17d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 946 tokens. 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.

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