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 lookupgit 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/lookup)<a href="https://agentmods.dev/skills/rootly-ai-labs/rootly-claude-plugin/lookup"><img src="https://agentmods.dev/badge/skills/rootly-ai-labs/rootly-claude-plugin/lookup/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.
<a href="https://agentmods.dev/skills/rootly-ai-labs/rootly-claude-plugin/lookup"><img src="https://agentmods.dev/badge/skills/rootly-ai-labs/rootly-claude-plugin/lookup.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00045 | $0.01173 |
| Opus 5 | $0.00023 | $0.00587 |
| Sonnet 5 | $0.00009 | $0.00235 |
| Haiku 4.5 | $0.00005 | $0.00117 |
Grade A, and why
lookup 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Service / Team Lookup
You are answering "what is this thing and who owns it?" for a service, team, or catalog entity. The user may pass a partial or full name; do your best to resolve it.
Workflow
1. Resolve the target
$ARGUMENTS is the search term. It might be:
- A service name (e.g.
payments-api) - A team name (e.g.
Platform) - A repository name
- A catalog entity slug
Strategy:
- Try
mcp__rootly__listServiceswith the term as a filter where supported. If the MCP tool offers a name/query filter, use it; otherwise fetch the first 50 and match client-side (case-insensitive substring). - If no service match, try
mcp__rootly__listTeamssimilarly. - If still no match, try
mcp__rootly__listCatalogEntities(across all catalogs).
Determine the kind of the resolved entity (service, team, or catalog-entity) — branch the rendering on that.
If multiple matches, list the top 5 and ask the user to disambiguate. Do not guess.
If no matches, say so and suggest the user check spelling or try a broader term.
2. Gather details — service path
If the resolved entity is a service:
- Call
mcp__rootly__getServicefor the full record. Capture: name, description, owning team, environment, slug, URL. - Call
mcp__rootly__getServiceUptimeChartfor the last 30 days (if the MCP supports a period parameter; otherwise default). - Call
mcp__rootly__listIncidentswithfilter_service_ids=<id>andfilter_status=startedto surface active incidents on this service. - If the service references an owning team, call
mcp__rootly__getTeamfor the team's name andmcp__rootly__get_oncall_schedule_summary(ormcp__rootly__get_oncall_handoff_summary) for current on-call. - Optional:
mcp__rootly__listIncidentsfilter by service in the last 90 days, page 1 only, to spot frequency.
3. Gather details — team path
If the resolved entity is a team:
- Call
mcp__rootly__getTeamfor the record. Capture name, description, slug, members count if available. - Call
mcp__rootly__listServicesfiltered by team to enumerate owned services. - Call
mcp__rootly__get_oncall_schedule_summaryfor current on-call across the team. - Call
mcp__rootly__listIncidentsfiltered by team andstatus=startedfor active incidents.
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.
- 9d ago First seen · 132 lines · 45 tokens per session scan A 88d4f004bc66
lookup 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 45 tokens to every session and 1,173 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.
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