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 0xranx/agentbrief --skill monitoring-observabilitygit clone --depth 1 https://github.com/0xranx/agentbriefWrote 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/0xranx/agentbrief/monitoring-observability)<a href="https://agentmods.dev/skills/0xranx/agentbrief/monitoring-observability"><img src="https://agentmods.dev/badge/skills/0xranx/agentbrief/monitoring-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/0xranx/agentbrief/monitoring-observability"><img src="https://agentmods.dev/badge/skills/0xranx/agentbrief/monitoring-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 | $0.00057 | $0.02377 |
| Opus 5.5 | $0.00023 | $0.00951 |
| Sonnet 5.5 | $0.00011 | $0.00475 |
| Haiku 4.5 | $0.00006 | $0.00238 |
Grade A, and why
monitoring-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 1mo 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 — 395 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Monitoring & Observability
When to use this skill
- Before Production Deployment: Essential monitoring system setup
- Performance Issues: Identify bottlenecks
- Incident Response: Quick root cause identification
- SLA Compliance: Track availability/response times
Instructions
Step 1: Metrics Collection (Prometheus)
Application Instrumentation (Node.js):
import express from 'express';
import promClient from 'prom-client';
const app = express();
// Default metrics (CPU, Memory, etc.)
promClient.collectDefaultMetrics();
// Custom metrics
const httpRequestDuration = new promClient.Histogram({
name: 'http_request_duration_seconds',
help: 'Duration of HTTP requests in seconds',
labelNames: ['method', 'route', 'status_code']
});
const httpRequestTotal = new promClient.Counter({
name: 'http_requests_total',
help: 'Total number of HTTP requests',
labelNames: ['method', 'route', 'status_code']
});
// Middleware to track requests
app.use((req, res, next) => {
const start = Date.now();
res.on('finish', () => {
const duration = (Date.now() - start) / 1000;
const labels = {
method: req.method,
route: req.route?.path || req.path,
status_code: res.statusCode
};
httpRequestDuration.observe(labels, duration);
httpRequestTotal.inc(labels);
});
next();
});
// Metrics endpoint
app.get('/metrics', async (req, res) => {
res.set('Content-Type', promClient.register.contentType);
res.end(await promClient.register.metrics());
});
app.listen(3000);
prometheus.yml:
global:
scrape_interval: 15s
evaluation_interval: 15s
scrape_configs:
- job_name: 'my-app'
static_configs:
- targets: ['localhost:3000']
metrics_path: '/metrics'
- job_name: 'node-exporter'
static_configs:
- targets: ['localhost:9100']
alerting:
alertmanagers:
- static_configs:
- targets: ['localhost:9093']
rule_files:
- 'alert_rules.yml'
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.
- 1mo ago First seen · 395 lines · 57 tokens per session scan A 193326801875
monitoring-observability is a skill published in the GitHub repository 0xranx/agentbrief (45 stars, last pushed 6mo ago), licensed MIT. It adds 57 tokens to every session and 2,377 once invoked, about $0.0002 per session on Opus 5.5. 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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