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.
npx skills add Rootly-AI-Labs/rootly-claude-plugin --skill respondgit clone --depth 1 https://github.com/Rootly-AI-Labs/rootly-claude-pluginWrote 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.
[](https://agentmods.dev/skills/rootly-ai-labs/rootly-claude-plugin/respond)<a href="https://agentmods.dev/skills/rootly-ai-labs/rootly-claude-plugin/respond"><img src="https://agentmods.dev/badge/skills/rootly-ai-labs/rootly-claude-plugin/respond.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00061 | $0.01291 |
| Opus 5 | $0.00030 | $0.00646 |
| Sonnet 5 | $0.00012 | $0.00258 |
| Haiku 4.5 | $0.00006 | $0.00129 |
Grade A, and why
respond 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
> **Experimental**: this skill uses `context: fork` to delegate to the `incident-investigator` agent. In some Claude Code contexts the forked subagent does not inherit the plugin's MCP tools, in which case the agent will How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Incident Response (experimental)
Experimental: this skill uses
context: forkto delegate to theincident-investigatoragent. In some Claude Code contexts the forked subagent does not inherit the plugin's MCP tools, in which case the agent will stop and report rather than fall back to bash/curl. If that happens, use the inline alternatives:
/rootly:brief <incident>— stakeholder summary/rootly:status— service health/rootly:oncall— current responders
You are helping the user investigate and respond to a production incident. This runs in a forked context to keep incident data separate from the main coding session.
Workflow
1. Identify the Incident
If $ARGUMENTS contains an incident reference:
- If it is already a UUID (36-char hex with hyphens), use it directly with
mcp__rootly__getIncident. - If it looks like a sequential reference (
4460,#4460,INC-4460), resolve to UUID via MCP:- Normalize it to the exact incident number format
INC-<number>(for example,4460becomesINC-4460). - Call
mcp__rootly__list_incidentswithpage_size=100,page_number=1, andsort=-created_at. - Scan the returned
incidentsarray for an exactincident_numbermatch. If found, use the correspondingincident_idas the UUID. - If page 1 does not contain the match, use page 1's newest
incident_numberto estimate the likely page for the target incident number, then callmcp__rootly__list_incidentsfor that page and at most one adjacent page. - On every page, match only on
incidents[*].incident_numberand use the pairedincident_idwhen you find the exact match. - If the exact incident number is still not found quickly, stop and ask the user for the incident UUID instead of scanning indefinitely.
- Normalize it to the exact incident number format
- Use the resolved UUID for all subsequent MCP calls.
- Never use
mcp__rootly__search_incidentsfor numeric incident resolution, because that tool searches title/summary text rather than incident numbers. - Never walk paginated lists indefinitely. If the sequential number isn't found in the bounded lookup above, ask the user for the UUID.
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.
- 8d ago First seen · 108 lines · 61 tokens per session scan A 066d3fb7a7a3
respond 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 61 tokens to every session and 1,291 once invoked, about $0.0003 per session on Opus 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 2026-08-30.
Other skills, from other repositories
debug-optimize-lcp
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…
systematic-debugging
Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.
diagnose
Trace from a reproduced symptom to the source code that causes it. Pin the specific file and approximate line, rate confidence in the cause and clarity of the fix independently, and always propose a concrete fix.
repro-admin
Reproduce an EmDash admin UI bug. Attach a container, start the demo dev server, drive the admin with agent-browser using the dev-bypass session, and capture the reproduction as screenshots plus a replayable transcript.
log-error-digest
Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…
byted-util-volcengine-detect-retry
An orchestration workflow for Volcengine Cloud Detect, a service that checks websites or network endpoints from test locations.