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 aspectrr/deer --skill observability-service-healthgit clone --depth 1 https://github.com/aspectrr/deerWrote 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/aspectrr/deer/observability-service-health)<a href="https://agentmods.dev/skills/aspectrr/deer/observability-service-health"><img src="https://agentmods.dev/badge/skills/aspectrr/deer/observability-service-health/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/aspectrr/deer/observability-service-health"><img src="https://agentmods.dev/badge/skills/aspectrr/deer/observability-service-health.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 | $0.00046 | $0.01151 |
| Opus 5 | $0.00023 | $0.00575 |
| Sonnet 5 | $0.00009 | $0.00230 |
| Haiku 4.5 | $0.00005 | $0.00115 |
Grade A, and why
observability-service-health 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 13d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
APM Service Health
Assess APM service health using Observability APIs, ES|QL against APM indices, and Elasticsearch APIs. Use SLOs, firing alerts, ML anomalies, throughput, latency, error rate, and dependency health.
Health criteria
Synthesize health from all of the following when available:
| Signal | What to check |
|---|---|
| SLOs | Burn rate, status (healthy/degrading/violated), error budget. |
| Firing alerts | Open or recently fired alerts for the service or dependencies. |
| ML anomalies | Anomaly jobs; score and severity for latency, throughput, or error rate. |
| Throughput | Request rate; compare to baseline or previous period. |
| Latency | Avg, p95, p99; compare to SLO targets or history. |
| Error rate | Failed/total requests; spikes or sustained elevation. |
| Dependency health | Downstream latency, error rate, availability. |
| Infrastructure | CPU usage, memory; OOM and CPU throttling on pods/containers/hosts. |
| Logs | App logs filtered by service or trace ID for context and root cause. |
Using ES|QL for APM metrics
Always filter by service.name (and service.environment when relevant). Combine with a time range on @timestamp:
WHERE service.name == "my-service-name" AND service.environment == "production"
AND @timestamp >= "2025-03-01T00:00:00Z" AND @timestamp <= "2025-03-01T23:59:59Z"
Example: Throughput and error rate
FROM traces*apm*,traces*otel*
| WHERE service.name == "api-gateway"
AND @timestamp >= "2025-03-01T00:00:00Z" AND @timestamp <= "2025-03-01T23:59:59Z"
| STATS request_count = COUNT(*), failures = COUNT(*) WHERE event.outcome == "failure" BY BUCKET(@timestamp, 1 hour)
| EVAL error_rate = failures / request_count
| SORT @timestamp
| LIMIT 500
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.
- 13d ago First seen · 105 lines · 46 tokens per session scan A 0897a1e07ff9
observability-service-health is a skill published in the GitHub repository aspectrr/deer (404 stars, last pushed 4mo ago), licensed MIT. It adds 46 tokens to every session and 1,151 once invoked, about $0.0002 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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