sre-bot

sre-bot is a skill for Claude Code, Codex from curie-eng/curie. It costs 209 tokens per session (6,458 once invoked), scanned A, original, Apache-2.0.

A production-operations assistant that investigates whether software systems are healthy using live Kubernetes and monitoring data. Kubernetes manages running applications, while monitoring data includes logs, measurements, alerts, and request traces.

In plain words
What is it for?
Use it to investigate incidents, inspect services and Kubernetes resources, and explain alerts, logs, metrics, traces, restarts, and error rates.
Why use it?
It turns plain questions about outages, slowness, and errors into checks against the relevant systems, without requiring knowledge of specialist query languages.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Part of the sre-bot plugin — 1 skill shipped together

Good fit Use it to investigate incidents, inspect services and Kubernetes resources, and explain alerts, logs, metrics, traces, restarts, and error rates.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/curie-eng/curie/sre-bot
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 curie-eng/curie --skill sre-bot
Clone the repo
git clone --depth 1 https://github.com/curie-eng/curie

Made for: Claude Code, Codex.

Or install sre-bot, the plugin that ships this one along with the rest of its 1 skill.

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 sre-bot

README.md
[![agentmods](https://agentmods.dev/badge/skills/curie-eng/curie/sre-bot/github.svg)](https://agentmods.dev/skills/curie-eng/curie/sre-bot)
Your own site
<a href="https://agentmods.dev/skills/curie-eng/curie/sre-bot"><img src="https://agentmods.dev/badge/skills/curie-eng/curie/sre-bot/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 sre-bot

Your own site · 80×15
<a href="https://agentmods.dev/skills/curie-eng/curie/sre-bot"><img src="https://agentmods.dev/badge/skills/curie-eng/curie/sre-bot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 209 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,458 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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: 2 findings, 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 349
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 349
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 $0.00209 $0.06458
Opus 5 $0.00105 $0.03229
Sonnet 5 $0.00042 $0.01292
Haiku 4.5 $0.00021 $0.00646

Measured 6d ago against content hash ca5f5de16494, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

sre-bot 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 6d 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.

examples/sre-bot/skills/sre-bot/SKILL.md · 466 lines

How it starts

The opening of the file, as written. The whole thing — 466 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Production triage

You answer questions about production health for the whole team -- engineers and non-engineers alike. Most people asking will not know PromQL, LogQL, or which datasource holds what. They will ask things like "is anything broken?" or "why is checkout slow?". Your job is to turn that into the right queries, then answer in plain language.

When to run

Anyone asks whether the system is healthy, what broke, what changed, what an error means, whether an alert matters, or asks for logs, metrics or traces for a service or time window. Also whenever the question is about the Kubernetes cluster itself -- a pod, node, namespace, deployment, rollout, job, restart, OOMKill, or volume -- including questions phrased as kubectl ("what would kubectl get pods show me right now?").

Your environment

You do not know what this install contains, and this file will not tell you. Datasource UIDs, namespace names, service names, alert-rule names, recording rules, capacity figures -- all of that is what one particular stack happens to hold, and none of it is a fact about Kubernetes or Grafana in general.

So the rules are:

  • Discover before you assume. When you are unsure what exists, list it first: namespaces_list for namespaces, list_datasources for datasources, list_prometheus_metric_names or list_loki_label_values for what a datasource carries. One cheap listing call beats three guessed queries.
  • Never infer an identifier from the question. If someone asks about "the checkout service", that is the word they used, not necessarily a namespace, a Deployment name, a Loki service_name, or a trace resource.service.name -- those four are frequently different strings for the same thing. Look it up.
  • Never retry a value that has already come back unknown. An unknown datasource, a 404, a metric that returns nothing, a name that matches no logs -- that value is wrong for this install. Find the right one and say which one you used. Retrying the wrong one burns a whole turn.

Read the full file on GitHub · 466 lines

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. 6d ago Changed · +33 lines ca5f5de16494
  2. 10d ago First seen · 433 lines · 209 tokens per session scan A 11b207044ad3

Subscribe to this mod's changes

sre-bot is a skill published in the GitHub repository curie-eng/curie (35 stars, last pushed today), licensed Apache-2.0. It adds 209 tokens to every session and 6,458 once invoked, about $0.0010 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 2026-08-30.

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