A natural-language interface for asking questions about Rootly, a service for tracking incidents, on-call duties, and reliability work.

Use it to find incidents, identify who is on call, investigate service failures, and spot related incident patterns.

It removes the need to know Rootly's API or search structure when investigating operational data.

ask — Skill for Claude Code and Codex by Rootly-AI-Labs: A natural-language interface for asking questions about Rootly, a…

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.

agentmods

npx agentmods add skills/rootly-ai-labs/rootly-claude-plugin/ask

Any agent

npx skills add Rootly-AI-Labs/rootly-claude-plugin --skill ask

Clone the repo

git clone --depth 1 https://github.com/Rootly-AI-Labs/rootly-claude-plugin

Made for: Claude Code, Codex.

Or install rootly-claude-plugin, the plugin that ships this one along with the rest of its 18 skills, 3 agents, 2 hooks, 1 MCP server.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/rootly-ai-labs/rootly-claude-plugin/ask.svg)](https://agentmods.dev/skills/rootly-ai-labs/rootly-claude-plugin/ask)

Your own site

<a href="https://agentmods.dev/skills/rootly-ai-labs/rootly-claude-plugin/ask"><img src="https://agentmods.dev/badge/skills/rootly-ai-labs/rootly-claude-plugin/ask.svg" alt="Measured on agentmods" height="20"></a>

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 459 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00032	$0.00459
Opus 5	$0.00016	$0.00230
Sonnet 5	$0.00006	$0.00092
Haiku 4.5	$0.00003	$0.00046

Measured 6d ago against content hash 1cf818dd5e7f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

ask 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.

skills/ask/SKILL.md · 47 lines

What it actually says

Natural Language Query

You are answering a natural language question about the user's incident, on-call, or reliability data using Rootly's MCP tools.

Workflow

1. Understand the Question

Parse the user's question from $ARGUMENTS. Identify what data they need.

2. Discover Available Tools

Call mcp__rootly__list_endpoints to see the full list of available Rootly MCP tools and their capabilities. This helps you select the right tools for the query.

3. Execute Queries

Select the most appropriate tools for the question. You may need multiple calls to fully answer the question. Common patterns:

"How many incidents last week?" -> mcp__rootly__search_incidents with date filters
"Who's on call?" -> mcp__rootly__get_oncall_handoff_summary
"What happened with [service]?" -> mcp__rootly__search_incidents filtered by service
"Show me critical incidents" -> mcp__rootly__search_incidents filtered by severity
"Any patterns in auth service failures?" -> mcp__rootly__search_incidents + mcp__rootly__find_related_incidents

4. Present Answer

Provide a clear, structured answer with supporting data. Include:

Direct answer to the question
Supporting data in tables or lists where helpful
Source attribution (which tools/queries produced the data)

5. Limitations

Be explicit about what you can't answer. If the question requires data that isn't available through the Rootly MCP tools, say so clearly rather than guessing or hallucinating. For example:

"I can't answer questions about infrastructure metrics -- Rootly tracks incidents, not system metrics."
"This question requires data from [other system]. I can only query Rootly incident and on-call data."

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.

6d ago First seen · 47 lines · 32 tokens per session scan A 1cf818dd5e7f

Subscribe to this mod's changes

ask is a skill published in the GitHub repository Rootly-AI-Labs/rootly-claude-plugin (1 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 459 once invoked, about $0.0002 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.

Analytics and metrics

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