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.
npx skills add jterratsdev/ableton-live-mcp --skill chaos-resilience-testinggit clone --depth 1 https://github.com/jterratsdev/ableton-live-mcpWrote 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/skills/jterratsdev/ableton-live-mcp/chaos-resilience-testing)<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.
<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>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 | $0.00000 | $0.00946 |
| Opus 5 | $0.00000 | $0.00473 |
| Sonnet 5 | $0.00000 | $0.00189 |
| Haiku 4.5 | $0.00000 | $0.00095 |
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.
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
- Identify the task, acceptance criteria, impacted runtime surfaces, and the user-visible or release-critical outcome that must survive failure.
- 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.
- Select deterministic scenarios before implementation. Prefer controlled stubs, fake providers, injected stores, fixture corruption, and bounded timeout simulation over random production-style fault injection.
- For each scenario, define:
- fault injected;
- expected behavior;
- expected user/operator message;
- expected audit/event/evidence output;
- recovery path;
- acceptance criteria covered.
- 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.
- 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.
- Record unresolved resilience gaps with owner, severity, release impact, and whether Product/Security/Compliance accepted the risk.
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.
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.
- 9d ago First seen · 128 lines · 0 tokens per session scan A 4ce6ca2d1c45
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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