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 celticht32/Couchbase-Skills-for-Claude.ai --skill couchbase-observabilitygit clone --depth 1 https://github.com/celticht32/Couchbase-Skills-for-Claude.aiWrote 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/celticht32/couchbase-skills-for-claude.ai/couchbase-observability)<a href="https://agentmods.dev/skills/celticht32/couchbase-skills-for-claude.ai/couchbase-observability"><img src="https://agentmods.dev/badge/skills/celticht32/couchbase-skills-for-claude.ai/couchbase-observability/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/celticht32/couchbase-skills-for-claude.ai/couchbase-observability"><img src="https://agentmods.dev/badge/skills/celticht32/couchbase-skills-for-claude.ai/couchbase-observability.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 | $0.00148 | $0.00916 |
| Opus 5 | $0.00074 | $0.00458 |
| Sonnet 5 | $0.00030 | $0.00183 |
| Haiku 4.5 | $0.00015 | $0.00092 |
Grade A, and why
couchbase-observability 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 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.
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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Couchbase Observability
A skill for monitoring and alerting on Couchbase clusters in production — metrics, thresholds, Prometheus integration, Grafana dashboards, log aggregation, and health check patterns.
Distinct from:
couchbase-mcp— callingadmin_stats_*tools to read current statecouchbase-security-hardening— audit log configuration and shipping
When this skill applies
- "How do I monitor Couchbase?"
- "What metrics should I alert on?"
- "How do I integrate Couchbase with Prometheus / Grafana?"
- "What's a good alert threshold for memory / disk / replication lag?"
- "How do I know if a node is healthy?"
- "How do I aggregate Couchbase logs?"
- "How do I set up dashboards for Couchbase?"
- "What does the cache miss ratio tell me?"
- "How do I detect query performance degradation?"
Pick the right reference
| Question | Read |
|---|---|
| "What metrics matter and what do they mean?" | references/key-metrics.md |
| "Prometheus / Grafana setup — scraping, dashboards, recording rules" | references/prometheus-grafana.md |
| "Alert thresholds — what values should trigger pages vs warnings?" | references/alert-thresholds.md |
| "Log aggregation — shipping cluster logs to ELK / Splunk / Datadog" | references/log-aggregation.md |
Three core principles
Principle 1 — Alert on symptoms, not causes. "Disk usage > 80%" is a symptom. "Compaction not keeping up" is a cause. Alert on the symptom (disk), investigate causes during the incident. Symptom-based alerts have fewer false positives and fewer missed incidents.
Principle 2 — Baseline before you threshold. Couchbase metrics vary enormously by workload. A cache miss ratio of 20% is catastrophic for a key-value workload and perfectly acceptable for an analytics workload. Baseline your metrics for one week before setting alert thresholds.
Principle 3 — Every node matters. Couchbase is a distributed system. A single node with high memory pressure, disk usage, or replication lag can degrade the whole cluster. Aggregate cluster-level metrics for dashboards, but alert per-node on resource pressure.
What ships with it
4 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.
- 11d ago First seen · 70 lines · 148 tokens per session scan A c88209f23248
couchbase-observability is a skill published in the GitHub repository celticht32/Couchbase-Skills-for-Claude.ai (4 stars, last pushed 2mo ago), licensed MIT. It adds 148 tokens to every session and 916 once invoked, about $0.0007 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 2026-08-31.
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