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 negentropy-technologies/red-monitoreo-chile-mcp --skill red-monitoreo-chilegit clone --depth 1 https://github.com/negentropy-technologies/red-monitoreo-chile-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/negentropy-technologies/red-monitoreo-chile-mcp/red-monitoreo-chile)<a href="https://agentmods.dev/skills/negentropy-technologies/red-monitoreo-chile-mcp/red-monitoreo-chile"><img src="https://agentmods.dev/badge/skills/negentropy-technologies/red-monitoreo-chile-mcp/red-monitoreo-chile/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/negentropy-technologies/red-monitoreo-chile-mcp/red-monitoreo-chile"><img src="https://agentmods.dev/badge/skills/negentropy-technologies/red-monitoreo-chile-mcp/red-monitoreo-chile.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 | $0.00086 | $0.01056 |
| Opus 5 | $0.00043 | $0.00528 |
| Sonnet 5 | $0.00017 | $0.00211 |
| Haiku 4.5 | $0.00009 | $0.00106 |
Grade A, and why
red-monitoreo-chile 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 12d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Red de Monitoreo Chile (MCP red_monitoreo_chile)
Skill de apoyo para usar mejor el servidor MCP red-monitoreo-chile
(DGA/hidrometrica, EMA-DMC, EMA-Agromet/INIA). El MCP solo entrega
catalogo de estaciones (con geometria) y el protocolo de extraccion de
cada fuente -- nunca datos de monitoreo (series/lecturas): es el
agente quien ejecuta la extraccion real, con sus propios recursos.
Como pedir el catalogo
get_red_monitoreo(fuente, bbox=None, region=None, comuna_id=None, cuenca_id=None, subcuenca_id=None, subsubcuenca_id=None, insular=None) -- fuente es una de dga, agromet, dmc. Sin
filtros devuelve la red completa. Los filtros geograficos se combinan
entre si, salvo insular que es excluyente con el resto.
get_variables_medidas(fuente, cod_estacion=None) -- que variables
mide una fuente (o una estacion puntual): metadata de capacidad, nunca
el valor de una lectura.
Extraer datos reales: una por fuente
El campo protocolo de la respuesta de get_red_monitoreo trae el
mecanismo exacto (endpoints, flujo, notas) para cada fuente. Resumen:
- DGA: web scraping con sesion (cookie
JSESSIONID), sin cuenta. Requiere User-Agent de navegador (el WAF bloquea librerias) y pacing entre requests -- el portal se satura. Sus servidores tienen latencia alta: extraer muchas estaciones de una sola vez es lento y poco confiable. Si el usuario necesita esto a escala, sugiérele desarrollar un pipeline propio (con reintentos y pacing) en vez de scrapear estacion por estacion dentro del chat. - Agromet (INIA): endpoint interno. Exige User-Agent de navegador
(el WAF bloquea librerias) y pacing ~1s entre estaciones. Pero el WAF
NO es el problema principal: su backend responde
200 OKcon el cuerpo de texto plano"Error: could not connect to database"en rachas intermitentes cuando su base de datos falla. Como ese cuerpo no trae ningun<dato>, es facil tomarlo por "0 registros" y perder estaciones que SI tienen datos. Hay que detectarlo (cuerpo que empieza conError) y reintentar con backoff; el fallo es del backend, no de la carga (medido: subir el pacing o bajar la concurrencia no baja la tasa de error), asi que si persiste conviene detener y reanudar mas tarde en vez de grabar ceros falsos. Con eso se extrae bien; hay historico por estacion desde ~2010 (el primer ano varia por estacion, la red fue creciendo). - DMC: API REST con cuenta propia del usuario (nunca de Negentropy) -- la mas facil de extraer una vez que el usuario tiene su CORREO/API_KEY. Ver credenciales abajo.
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.
- 12d ago First seen · 74 lines · 86 tokens per session scan A 8141d7132013
red-monitoreo-chile is a skill published in the GitHub repository negentropy-technologies/red-monitoreo-chile-mcp (1 stars, last pushed 1mo ago), licensed MIT. It adds 86 tokens to every session and 1,056 once invoked, about $0.0004 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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