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 codebygarv/Ai-skills --skill chaos-experiment-designergit clone --depth 1 https://github.com/codebygarv/Ai-skillsWrote 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/codebygarv/ai-skills/chaos-experiment-designer)<a href="https://agentmods.dev/skills/codebygarv/ai-skills/chaos-experiment-designer"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/chaos-experiment-designer/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/codebygarv/ai-skills/chaos-experiment-designer"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/chaos-experiment-designer.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 | $0.00023 | $0.00342 |
| Opus 5 | $0.00012 | $0.00171 |
| Sonnet 5 | $0.00005 | $0.00068 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
chaos-experiment-designer 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 6d 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.
What it actually says
Purpose
Formulate structured chaos engineering experiments to empirically test system resilience against infrastructure disruptions (network latency, pod crashes, database failovers, DNS outages).
When to Use
- Validating high-availability claims prior to peak shopping events (Black Friday) or major launches.
- Verifying circuit breakers, retries, and fallback caches actually work under real network turbulence.
- Testing alerting thresholds and on-call paging during automated failure simulations.
What to Analyze
- Steady State Hypothesis: Measurable baseline metric representing normal operation (e.g., 99.9% 2xx responses, latency p95 < 250ms).
- Turbulence Variable: Specific failure injected (e.g., 500ms latency to payment gateway, killing random Redis replicas).
- Blast Radius & Rollback Trigger: Safety stop condition that automatically aborts the experiment if customer error rate exceeds 1%.
- Expected Recovery: System self-healing behavior without human intervention.
- Observability Verification: Do alerts fire and runbooks point to the right root cause?
Output Format
- Experiment Plan: Hypothesis, Turbulence Type, Blast Radius, Rollback Trigger.
- Chaos Mesh / Litmus / Gremlin Spec: YAML or script to execute the injection.
- Verification Matrix: How to validate steady state retention.
Avoid
- Running chaos experiments in production without automated rollback abort gates.
- Testing unpredictable random chaos before basic unit and integration tests pass.
What ships with it
2 files 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.
- 6d ago First seen · 34 lines · 23 tokens per session scan A 4ede4aaa8503
chaos-experiment-designer is a skill published in the GitHub repository codebygarv/Ai-skills (25 stars, last pushed 20d ago), licensed MIT. It adds 23 tokens to every session and 342 once invoked, about $0.0001 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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