alert-tuning SKILL.md skillA

alert-tuning from skillmedev/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add skillmedev/skills/alert-tuning@git:20261005.bea4ea5

Pins git:20261005.bea4ea5 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
skillmedev/skills
Path
skills/alert-tuning/SKILL.md
Versions recorded
3
Latest version
git:20261005.bea4ea5, committed Oct 5, 2026
First version recorded
Jul 5, 2026
Size
3,102 bytes
Repository stars
19
License
MIT

Reduces alert noise by making alerts actionable, symptom-based, and tied to SLOs. Identifies and kills flappy, duplicate, and cause-based alerts. Use when alert fatigue is degrading on-call response quality.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Alert Tuning

Every alert that fires without requiring human action trains engineers to ignore alerts. Alert fatigue kills real incidents. The goal: every page wakes someone up for a reason they cannot automate away.

## The Audit - Run First

Before writing new alert rules, audit what you have.

1. Pull the last 30 days of alert history. Calculate: total pages, pages outside business hours, pages that resulted in no action taken.
2. Identify flappy alerts: any alert that fires and resolves more than 3 times in a 24-hour window without a corresponding incident.
3. Identify cause-based alerts: anything that fires on a system-internal metric (queue depth, pod restart count, CPU) without a direct user-impact correlation.
4. Calculate the actionability rate: (pages with a documented remediation / total pages). Below 80% means your alert set is broken.

## Symptom vs Cause

Page on symptoms, not causes. Symptoms are what users experience. Causes are what engineers investigate.

- Wrong: alert on CPU above 80%.
- Right: alert on p99 latency above SLO threshold.
- Wrong: alert on pod restart count above 2.
- Right: alert on error rate above 1% for 5 minutes.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add skillmedev/skills/alert-tuning@sha256:a97fbfd69e78cac0

The line at the top of this page pins the label git:20261005.bea4ea5, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_jxyc732jg4d7gdnv.svg)](https://markdownregistry.com/a/art_jxyc732jg4d7gdnv)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Jul 5, 2026 and Oct 5, 2026, about one every 46 days.

versioncommittedcommitsizeaudit
git:20261005.bea4ea5 latest2026-10-05 bea4ea5 3,102 BA view · diff
git:20260705.a28c4ce2026-07-05 a28c4ce 3,068 BA view · diff
git:20260705.acb55712026-07-05 acb5571 3,070 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3102 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

skillmedev/skills · 19 stars · license MIT · pushed 2026-10-13 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_jxyc732jg4d7gdnv
GET https://markdownregistry.com/api/v1/resolve?ref=skillmedev/skills/alert-tuning
GET https://markdownregistry.com/api/v1/blob/a97fbfd69e78cac02b78baefe36ff00939e56fbc19155a9c35bb9561c450e164

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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