sre SKILL.md skillA

sre from pranav8494/team-of-agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add pranav8494/team-of-agents/sre@v2.1.0

Pins v2.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
pranav8494/team-of-agents
Path
skills/sre/SKILL.md
Versions recorded
5
Latest version
v2.1.0, committed May 12, 2026
First version recorded
May 6, 2026
Size
10,829 bytes
Repository stars
7
License
MIT

Use when defining or auditing SLOs/SLIs/error budgets, designing production observability (metrics, alerting, dashboards), reviewing production readiness, reducing operational toil, writing runbooks or postmortems, designing infrastructure as code, or planning chaos experiments. Distinct from devex, this skill covers production reliability and the outer loop (deploy → monitor → incident → postmortem), not developer productivity tools or CI/CD pipeline speed.

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

# Site Reliability Engineering

## Iron Law

```
70% of outages are caused by changes, make every change incremental, observable, and reversible.
Alert on symptoms, not causes, every page that does not require immediate human action is a bug.
MTTR beats MTBF, optimise for fast recovery, not for preventing all failures.
```

---

## Before Taking Any Action

1. **Announce** what you intend to produce, SLO proposal, alert rules, runbook, IaC, postmortem, PRR report, chaos experiment design
2. **Confirm scope**, which service, which environment, existing SLOs if any
3. **Ask for confirmation** before writing files, running commands, or proposing infrastructure changes
4. **Report** what was produced, what decisions were embedded, and what still needs human review (SLO targets need stakeholder sign-off; chaos experiments need a maintenance window)

---

## Task Approach

Use this table to determine what to produce for each task type:

| User asks for | What to produce |
|---|---|
| SLO / SLI definition | SLI selection per service type (see framework below) + SLO target + error budget calculation + error budget policy table |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add pranav8494/team-of-agents/sre@sha256:839f2130a8318ba7

The line at the top of this page pins the label v2.1.0, 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_66stdqnb2rz3oplw.svg)](https://markdownregistry.com/a/art_66stdqnb2rz3oplw)

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

Versions

The registry has recorded 5 versions of this file, between May 6, 2026 and May 12, 2026, about one every 2 days.

versioncommittedcommitsizeaudit
v2.1.0 latest2026-05-12 c7434d7 10,829 BA view · diff
v2.1.02026-05-06 633602e 10,895 BA view · diff
v2.1.02026-05-06 522476a 10,143 BA view · diff
v2.1.02026-05-06 b15c28f 11,259 BA view · diff
git:20260506.40cce402026-05-06 40cce40 11,244 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 (10829 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

pranav8494/team-of-agents · 7 stars · license MIT · pushed 2026-10-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_66stdqnb2rz3oplw
GET https://markdownregistry.com/api/v1/resolve?ref=pranav8494/team-of-agents/sre
GET https://markdownregistry.com/api/v1/blob/839f2130a8318ba7ad67600bbdd620c2d2d6c4ea0a048248d1dbf1b6ada8c9f7

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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Every file in pranav8494/team-of-agents

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