monitoring

monitoring is a skill for Claude Code, Codex from ericrisco/rsc-harness. It costs 88 tokens per session (3,058 once invoked), scanned A, original, MIT.

A production monitoring guide for checking whether a service is available, responding quickly, and notifying the right person when users are affected.

In plain words
What is it for?
Use it to define health checks, set symptom-based alerts, create escalation rules, and organise an on-call rotation.
Why use it?
It helps detect real outages without filling on-call channels with alerts that require no human action.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to define health checks, set symptom-based alerts, create escalation rules, and organise an on-call rotation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ericrisco/rsc-harness/monitoring
Install

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.

Any agent
npx skills add ericrisco/rsc-harness --skill monitoring
Clone the repo
git clone --depth 1 https://github.com/ericrisco/rsc-harness

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for monitoring

README.md
[![agentmods](https://agentmods.dev/badge/skills/ericrisco/rsc-harness/monitoring/github.svg)](https://agentmods.dev/skills/ericrisco/rsc-harness/monitoring)
Your own site
<a href="https://agentmods.dev/skills/ericrisco/rsc-harness/monitoring"><img src="https://agentmods.dev/badge/skills/ericrisco/rsc-harness/monitoring/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.

agentmods 80×15 button for monitoring

Your own site · 80×15
<a href="https://agentmods.dev/skills/ericrisco/rsc-harness/monitoring"><img src="https://agentmods.dev/badge/skills/ericrisco/rsc-harness/monitoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,058 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 77
    Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.
    Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00088 $0.03058
Opus 5.5 $0.00035 $0.01223
Sonnet 5.5 $0.00018 $0.00612
Haiku 4.5 $0.00009 $0.00306

Measured 1mo ago against content hash 2e27a75f7218, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

monitoring scanned grade A with 1 finding 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/verify.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

requests.get(PAYMENTS_URL) # blocks on a third party!
skills/monitoring/SKILL.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Monitoring

You are wiring up the outside view of a service that already shipped: is it alive, is it fast, and when it breaks, does exactly one human get exactly one actionable page. This skill emits a concrete setup — a checker config, a health-endpoint contract, symptom-based alert rules, and an on-call rotation. Not telemetry instrumentation (that is ../observability/SKILL.md), not the release-gating healthcheck (that is ../deployment/SKILL.md).

The one rule

A page is justified only when there is real user impact AND a human action the system can't take itself. Everything below descends from this. Internalize the three tiers:

  • Page (wake someone): users are hurting now and a human must intervene. Checkout returns 5xx. Site unreachable. Error budget burning fast.
  • Ticket (look during business hours): degraded but not bleeding. Slow-burn budget use, cert expiring in 14 days.
  • Dashboard-only (don't notify): CPU at 80%, a single retry, a transient blip the system already healed.

If an alert doesn't map to an immediate human action, it is not a page — it's noise, and noise trains people to ignore the one page that matters.

The 4-layer stack

Don't skip layers and don't collapse them — each answers a different question.

Layer Answers Built with Fires when
1. External uptime probe "Is it reachable from the outside?" Uptime Kuma / UptimeRobot / Better Stack URL down, TLS broken, p95 latency over budget
2. Health endpoints "Is the process alive, and are its deps reachable?" /livez + /readyz on the service liveness fails → restart; readiness fails → pull from rotation
3. SLO burn-rate alert "Are we spending the error budget too fast?" Prometheus/Grafana/Better Stack rule multi-window burn rate exceeds threshold
4. On-call escalation "Who acts, and who's the backup?" PagerDuty / incident.io / Better Stack a page from layers 1–3 routes + escalates

Layer 1 catches "the whole thing is gone." Layer 2 catches "a dependency died" before users do. Layer 3 catches "we're degrading faster than we can afford." Layer 4 makes sure a human shows up.

Read the full file on GitHub · 156 lines

Files

What ships with it

5 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.

Changes

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.

  1. 1mo ago First seen · 156 lines · 88 tokens per session scan A 2e27a75f7218

Subscribe to this mod's changes

monitoring is a skill published in the GitHub repository ericrisco/rsc-harness (289 stars, last pushed yesterday), licensed MIT. It adds 88 tokens to every session and 3,058 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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