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 sawrus/agent-guides --skill chaos-engineeringgit clone --depth 1 https://github.com/sawrus/agent-guidesWrote 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/sawrus/agent-guides/chaos-engineering)<a href="https://agentmods.dev/skills/sawrus/agent-guides/chaos-engineering"><img src="https://agentmods.dev/badge/skills/sawrus/agent-guides/chaos-engineering.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00029 | $0.01490 |
| Opus 5 | $0.00015 | $0.00745 |
| Sonnet 5 | $0.00006 | $0.00298 |
| Haiku 4.5 | $0.00003 | $0.00149 |
Grade A, and why
chaos-engineering 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 8d 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Chaos Engineering
Expertise: LitmusChaos experiments, manual K8s chaos, network partition testing, graceful degradation validation.
When to load
When designing chaos experiments, validating failover behavior, verifying SLO headroom, or onboarding a service to chaos testing.
Chaos Experiment Design Principles
1. Define steady state first
→ What does "working" look like? (SLI baseline: error rate < 0.1%, p99 < 200ms)
2. Hypothesize
→ "If 1/3 of pods die, the service will continue serving with p99 < 500ms"
3. Blast radius control
→ Start with staging. Start with 1 pod. Increase gradually.
4. Abort conditions
→ Auto-stop if error rate > 1% or p99 > 1s for > 2 min
5. Document and act
→ Passed = evidence of resilience. Failed = fix + re-test. Never just accept failure.
Manual Chaos (no tooling needed)
# ── Pod kill (test restart recovery) ──────────────────────────
kubectl delete pod <pod-name> -n production
# Watch: kubectl get pods -n production -l app=my-service -w
# Expected: new pod starts, readiness probe passes, 0 user-visible errors
# ── Kill all pods in deployment (test rolling restart recovery) ──
kubectl rollout restart deployment/my-service -n production
# Watch error rate during rollout
# ── Simulate OOMKill ──────────────────────────────────────────
kubectl exec -it <pod> -n production -- sh -c \
"dd if=/dev/zero of=/dev/shm/blob bs=1M count=600"
# Expected: pod OOMKilled, restarted, alert fired, no user impact
# ── Resource pressure on node ─────────────────────────────────
kubectl run stress --image=polinux/stress --restart=Never \
--overrides='{"spec":{"nodeSelector":{"kubernetes.io/hostname":"worker-01"}}}' \
-- stress --cpu 4 --vm 1 --vm-bytes 2G --timeout 120s
# ── Network partition: isolate a pod (Cilium + network policy) ──
# Apply a policy that drops all traffic from/to the pod
kubectl apply -f - << 'EOF'
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata: { name: chaos-isolate, namespace: production }
spec:
podSelector: { matchLabels: { chaos-target: "true" } }
policyTypes: [Ingress, Egress]
EOF
kubectl label pod <pod> chaos-target=true -n production
# Observe: circuit breakers trip, retries, fallback behavior
# Cleanup:
kubectl delete networkpolicy chaos-isolate -n production
kubectl label pod <pod> chaos-target- -n production
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.
- 8d ago First seen · 187 lines · 29 tokens per session scan A 54b511ca374d
chaos-engineering is a skill published in the GitHub repository sawrus/agent-guides (17 stars, last pushed 7d ago), licensed MIT. It adds 29 tokens to every session and 1,490 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 2026-08-30.
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