A command that sends a user's query to a separate subagent running the Opus-4.6 model. A subagent is another AI worker that handles the delegated request.

Delegating a user request to the named Opus subagent.

It lets the main agent hand a query to that specified model instead of answering it directly.

How lmn451/jsx-prop-lookup-mcp-server configures GitHub Copilot

Reuse

Borrowing it

Nothing to install: this file belongs to lmn451/jsx-prop-lookup-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/lmn451/jsx-prop-lookup-mcp-server/master/.github/prompts/ask-opus.prompt.md

Clone the repo

git clone --depth 1 https://github.com/lmn451/jsx-prop-lookup-mcp-server

Made for: GitHub Copilot.

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/commands/lmn451/jsx-prop-lookup-mcp-server/ask-opus/github.svg)](https://agentmods.dev/commands/lmn451/jsx-prop-lookup-mcp-server/ask-opus)

Your own site

<a href="https://agentmods.dev/commands/lmn451/jsx-prop-lookup-mcp-server/ask-opus"><img src="https://agentmods.dev/badge/commands/lmn451/jsx-prop-lookup-mcp-server/ask-opus/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.

Your own site · 80×15

<a href="https://agentmods.dev/commands/lmn451/jsx-prop-lookup-mcp-server/ask-opus"><img src="https://agentmods.dev/badge/commands/lmn451/jsx-prop-lookup-mcp-server/ask-opus.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 250 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.

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	$0.00022	$0.00250
Opus 5.5	$0.00009	$0.00100
Sonnet 5.5	$0.00004	$0.00050
Haiku 4.5	$0.00002	$0.00025

Measured 1mo ago against content hash 3f74c2c212bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ask-opus 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 1mo 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.

.github/prompts/ask-opus.prompt.md · 25 lines

What it actually says

<USER_REQUEST_INSTRUCTIONS> Call #tool:agent/runSubagent - include the following args:

agentName: "opus-agent"
prompt: $USER_QUERY </USER_REQUEST_INSTRUCTIONS>

<USER_REQUEST_RULES>

You can call the 'subagent' defined in 'USER_REQUEST_INSTRUCTIONS' as many times as needed to fulfill the user's request.
It's recommended you use the subagent to help you decide how best to respond and/or complete the task (because it is a larger model than you) including how best to break the task down into smaller steps if needed.
Use the subagent for all todos/tasks/queries, do not perform any task or respond to any query yourself, you are just an orchestrator.
Do not manipulate/summarize subagent responses to save on tokens, always be comprehensive and verbose.
Do not evaluate or respond to the remainder of this message, the subagent is responsible for all further content. </USER_REQUEST_RULES>

--- USER_REQUEST_START ---

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.

1mo ago First seen · 25 lines · 22 tokens per session scan A 3f74c2c212bc

Subscribe to this mod's changes

ask-opus is a command published in the GitHub repository lmn451/jsx-prop-lookup-mcp-server (0 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 250 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-07.

Building agents

ask-opus next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ask-opuslmn451/jsx-prop-lookup-mcp-server	Command	0	yesterday	MIT	A	22	GitHub Copilot
checklistgithub/spec-kit	Command	148k	yesterday	MIT	A	13	Claude Code
clarifygithub/spec-kit	Command	148k	yesterday	MIT	A	27	Claude Code
specifygithub/spec-kit	Command	148k	yesterday	MIT	A	13	Claude Code
analyzegithub/spec-kit	Command	148k	yesterday	MIT	A	26	Claude Code
convergegithub/spec-kit	Command	148k	yesterday	MIT	A	35	Claude Code
implementgithub/spec-kit	Command	148k	yesterday	MIT	A	14	Claude Code

jsx-prop-lookup-mcp-server: Command for GitHub Copilot