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 summarybotng/summarybot-ng --skill chaos-engineering-resiliencegit clone --depth 1 https://github.com/summarybotng/summarybot-ngWrote 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/summarybotng/summarybot-ng/chaos-engineering-resilience)<a href="https://agentmods.dev/skills/summarybotng/summarybot-ng/chaos-engineering-resilience"><img src="https://agentmods.dev/badge/skills/summarybotng/summarybot-ng/chaos-engineering-resilience/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/summarybotng/summarybot-ng/chaos-engineering-resilience"><img src="https://agentmods.dev/badge/skills/summarybotng/summarybot-ng/chaos-engineering-resilience.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 | $0.00040 | $0.01126 |
| Opus 5.5 | $0.00016 | $0.00450 |
| Sonnet 5.5 | $0.00008 | $0.00225 |
| Haiku 4.5 | $0.00004 | $0.00113 |
Grade A, and why
chaos-engineering-resilience 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 2mo 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.
This is a copy
100% identical to chaos-engineering-resilience — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chaos Engineering & Resilience Testing
<default_to_action> When testing system resilience or injecting failures:
- DEFINE steady state (normal metrics: error rate, latency, throughput)
- HYPOTHESIZE system continues in steady state during failure
- INJECT real-world failures (network, instance, disk, CPU)
- OBSERVE and measure deviation from steady state
- FIX weaknesses discovered, document runbooks, repeat
Quick Chaos Steps:
- Start small: Dev → Staging → 1% prod → gradual rollout
- Define clear rollback triggers (error_rate > 5%)
- Measure blast radius, never exceed planned scope
- Document findings → runbooks → improved resilience
Critical Success Factors:
- Controlled experiments with automatic rollback
- Steady state must be measurable
- Start in non-production, graduate to production </default_to_action>
Quick Reference Card
When to Use
- Distributed systems validation
- Disaster recovery testing
- Building confidence in fault tolerance
- Pre-production resilience verification
Failure Types to Inject
| Category | Failures | Tools |
|---|---|---|
| Network | Latency, packet loss, partition | tc, toxiproxy |
| Infrastructure | Instance kill, disk failure, CPU | Chaos Monkey |
| Application | Exceptions, slow responses, leaks | Gremlin, LitmusChaos |
| Dependencies | Service outage, timeout | WireMock |
Blast Radius Progression
Dev (safe) → Staging → 1% prod → 10% → 50% → 100%
↓ ↓ ↓ ↓
Learn Validate Careful Full confidence
Steady State Metrics
| Metric | Normal | Alert Threshold |
|---|---|---|
| Error rate | < 0.1% | > 1% |
| p99 latency | < 200ms | > 500ms |
| Throughput | baseline | -20% |
Chaos Experiment Structure
// Chaos experiment definition
const experiment = {
name: 'Database latency injection',
hypothesis: 'System handles 500ms DB latency gracefully',
steadyState: {
errorRate: '< 0.1%',
p99Latency: '< 300ms'
},
method: {
type: 'network-latency',
target: 'database',
delay: '500ms',
duration: '5m'
},
rollback: {
automatic: true,
trigger: 'errorRate > 5%'
}
};
What ships with it
3 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.
- 2mo ago First seen · 164 lines · 40 tokens per session scan A 2f6a1371957d
chaos-engineering-resilience is a skill published in the GitHub repository summarybotng/summarybot-ng (2 stars, last pushed 5mo ago), licensed MIT. It adds 40 tokens to every session and 1,126 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to chaos-engineering-resilience, differing in 0 lines, and is treated as a copy.
chaos-engineering-resilience compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| chaos-engineering-resiliencesummarybotng/summarybot-ng | Skill | 2 | 5mo ago | MIT | A | 40 | Claude Code |
| chaos-engineering-resilienceproffesor-for-testing/agentic-qe | Skill | 525 | yesterday | MIT | A | 40 | Claude Code |
| chaos-engineeringcamilooscargbaptista/cto-toolkit | Skill | 8 | 7mo ago | MIT | A | 86 | Claude Code |
| agent-harness-fault-injectionsickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 34 | Claude Code |
| Advanced Chaos EngineeringPramodDutta/qaskills | Skill | 245 | 4d ago | MIT | A | 27 | Claude Code, Codex |
| wayfinding-routingellmos-ai/skills | Skill | 9 | today | MIT | A | 88 | Claude Code, Codex |
| chaos-engineeringbestagentkits/agency-skills | Skill | 25 | 4mo ago | MIT | A | 152 | Claude Code, Codex |