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 contactandrewchl-wq/turtle-mcp --skill backend-observabilitygit clone --depth 1 https://github.com/contactandrewchl-wq/turtle-mcpWrote 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/contactandrewchl-wq/turtle-mcp/backend-observability)<a href="https://agentmods.dev/skills/contactandrewchl-wq/turtle-mcp/backend-observability"><img src="https://agentmods.dev/badge/skills/contactandrewchl-wq/turtle-mcp/backend-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/contactandrewchl-wq/turtle-mcp/backend-observability"><img src="https://agentmods.dev/badge/skills/contactandrewchl-wq/turtle-mcp/backend-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 | $0.00053 | $0.00980 |
| Opus 5 | $0.00026 | $0.00490 |
| Sonnet 5 | $0.00011 | $0.00196 |
| Haiku 4.5 | $0.00005 | $0.00098 |
Grade A, and why
backend-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 10d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Backend observability
Cuándo usar
- Crear un servicio nuevo o un endpoint sensible.
- Investigar un incidente y faltan datos.
- Definir alertas o dashboards.
Pilares
- Logs — eventos discretos, con contexto, estructurados (JSON).
- Métricas — series temporales agregables.
- Trazas — el camino de un request por varios servicios.
Sin los tres, falta una pata: logs sin métricas no escalan, métricas sin trazas no explican causa.
Logs
- Estructurados (
{"ts":..., "level":..., "msg":..., "request_id":..., ...}), nunca strings sueltos. - Niveles bien usados:
DEBUG— detalle de desarrollo. Off en producción.INFO— eventos esperados (request servido, job ok). Bajo volumen.WARN— anomalía recuperada (reintento, fallback). Mirar tendencias.ERROR— fallo no recuperado en un request/job. Debería alertar si sube.FATAL— el proceso no puede continuar.
- Un log por evento de negocio. No logs decorativos cada 3 líneas.
request_idpropagado en todo log de la cadena. Si no podés correlacionar, no podés debuggear.
Qué NUNCA loguear
- Contraseñas, tokens, claves, header
Authorization, cookies de sesión. - PII completa: número de tarjeta, RUT/DNI, mail, teléfono. Hashear o truncar si hace falta.
- Cuerpo de request/response salvo en debug local explícito.
- Stack traces a clientes (sí internamente).
Métricas — Four Golden Signals
Para todo servicio:
- Latency — p50, p95, p99 por endpoint. Promedio miente.
- Traffic — requests/seg, por ruta y método.
- Errors — tasa de 5xx (y 4xx interesantes como 429).
- Saturation — CPU, memoria, conexiones a BD, cola.
Para jobs: éxito/falla/duración/cola.
Convenciones
- Histogramas, no solo contadores, para latencias.
- Cardinalidad bajo control:
user_idcomo label rompe Prometheus. - Nombres consistentes:
http_request_duration_seconds,db_query_duration_seconds.
Trazas
- OpenTelemetry como estándar. Cliente + auto-instrumentación + exportador a Jaeger/Tempo/Honeycomb.
- Propagá
traceparententre servicios. - Span por unidad de trabajo significativa (request, query, llamada externa, job).
- Atributos útiles:
http.route,db.statement(sanitizado),messaging.destination.
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.
- 10d ago First seen · 101 lines · 53 tokens per session scan A 5fd191bf5c2a
backend-observability is a skill published in the GitHub repository contactandrewchl-wq/turtle-mcp (2 stars, last pushed 2mo ago), licensed MIT. It adds 53 tokens to every session and 980 once invoked, about $0.0003 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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