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 dungnotnull/hybrid-harness-chaos-process-prm --skill s22-observability-integrationgit clone --depth 1 https://github.com/dungnotnull/hybrid-harness-chaos-process-prmWrote 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/dungnotnull/hybrid-harness-chaos-process-prm/s22-observability-integration)<a href="https://agentmods.dev/skills/dungnotnull/hybrid-harness-chaos-process-prm/s22-observability-integration"><img src="https://agentmods.dev/badge/skills/dungnotnull/hybrid-harness-chaos-process-prm/s22-observability-integration/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/dungnotnull/hybrid-harness-chaos-process-prm/s22-observability-integration"><img src="https://agentmods.dev/badge/skills/dungnotnull/hybrid-harness-chaos-process-prm/s22-observability-integration.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 | $0.00090 | $0.02917 |
| Opus 5 | $0.00045 | $0.01458 |
| Sonnet 5 | $0.00018 | $0.00583 |
| Haiku 4.5 | $0.00009 | $0.00292 |
Grade A, and why
chaos-observability-integration scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST http://grafana.company.com/api/dashboards/db \ How it starts
The opening of the file, as written. The whole thing — 394 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chaos Observability Integration (s20)
Purpose
Establish comprehensive observability for chaos experiments — ensuring every fault is visible, every probe is connected to real metrics, and every team member can see what's happening in real-time during chaos runs.
Prerequisites
- Continuous verification config from s21 (CV Verification)
- Chaos experiment results from s14-s19
- Prometheus and Grafana deployed and accessible
- Service metrics endpoints available
- Dashboard creation permissions in Grafana
Input Contract
| Input | Source | Required |
|---|---|---|
| Steady state metrics definitions | s15 output | Yes |
| Experiment manifests (probe configs) | s12-s17 outputs | Yes |
| Observability tool preferences | s02 taste (observability) | Yes |
| Alert routing preferences | s02 taste or s01 | Yes |
| CV verification config | s19 output | No |
Output Contract
| Output | Destination | Format |
|---|---|---|
| Chaos Grafana dashboard JSON | .commandcode/artifacts/dashboard-chaos.json |
JSON |
| Prometheus alert rules for chaos | .commandcode/artifacts/alerts-chaos.yaml |
YAML |
| Observability health check script | .commandcode/artifacts/obs-check.sh |
Bash |
| Probe validation report | s18 (game day) | Markdown |
| Chaos metrics feed | s21 (alerting), s24 (scoring) | Prometheus queries |
Chaos Observability Stack
Experiment Runner (LitmusChaos/HCE)
│ Exposes chaos metrics on :8080/metrics
▼
Prometheus (scrapes every 15s)
│
├── Grafana Dashboard (real-time chaos view)
├── AlertManager (chaos-specific alert rules)
└── S24 Scoring Engine (resilience calculation)
Step 1 — Chaos Grafana Dashboard
{
"dashboard": {
"title": "Chaos Engineering — <SERVICE>",
"uid": "chaos-<service>",
"tags": ["chaos", "resilience", "<service>"],
"timezone": "browser",
"panels": [
{
"title": "Chaos Experiment Status",
"type": "stat",
"targets": [{
"expr": "litmuschaos_experiment_verdict{app='<SERVICE>'}",
"legendFormat": "{{experiment_name}}"
}],
"fieldConfig": {
"defaults": {
"mappings": [
{"type": "value", "value": "0", "text": "Passed"},
{"type": "value", "value": "1", "text": "Failed"}
],
"thresholds": {
"mode": "absolute",
"steps": [
{"color": "green", "value": null},
{"color": "red", "value": 1}
]
}
}
}
},
{
"title": "Resilience Score (Real-time)",
"type": "gauge",
"targets": [{
"expr": "litmuschaos_resilience_score{app='<SERVICE>'}"
}],
"fieldConfig": {
"defaults": {
"min": 0, "max": 100,
"thresholds": {
"steps": [
{"color": "red", "value": null},
{"color": "yellow", "value": 60},
{"color": "green", "value": 80}
]
}
}
}
},
{
"title": "Error Rate During Chaos",
"type": "timeseries",
"targets": [
{
"expr": "sum(rate(http_requests_total{namespace='<NAMESPACE>',status=~'5..'}[1m])) / sum(rate(http_requests_total{namespace='<NAMESPACE>'}[1m])) * 100",
"legendFormat": "Error Rate %"
},
{
"expr": "5",
"legendFormat": "Threshold (5%)"
}
],
"fieldConfig": {
"defaults": {
"thresholds": {
"steps": [
{"color": "green", "value": null},
{"color": "red", "value": 5}
]
}
}
}
},
{
"title": "P99 Latency During Chaos",
"type": "timeseries",
"targets": [{
"expr": "histogram_quantile(0.99, sum(rate(http_request_duration_ms_bucket{namespace='<NAMESPACE>'}[1m])) by (le))",
"legendFormat": "P99 (ms)"
}]
},
{
"title": "Pod Status During Chaos",
"type": "stat",
"targets": [
{
"expr": "count(kube_pod_status_ready{namespace='<NAMESPACE>', condition='true'})",
"legendFormat": "Ready"
},
{
"expr": "count(kube_pod_status_ready{namespace='<NAMESPACE>', condition='false'})",
"legendFormat": "Not Ready"
}
]
},
{
"title": "Active Faults",
"type": "table",
"targets": [{
"expr": "litmuschaos_active_experiments{namespace='<NAMESPACE>'}",
"format": "table"
}]
},
{
"title": "Probe Status",
"type": "status-history",
"targets": [{
"expr": "litmuschaos_probe_success_total{namespace='<NAMESPACE>'}",
"legendFormat": "{{probe_name}}"
}]
}
]
}
}
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.
- 11d ago First seen · 394 lines · 90 tokens per session scan A 3b0a79de6c54
chaos-observability-integration is a skill published in the GitHub repository dungnotnull/hybrid-harness-chaos-process-prm (19 stars, last pushed 3mo ago), licensed MIT. It adds 90 tokens to every session and 2,917 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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