first-ask

first-ask is a command for GitHub Copilot from saajunaid/caddis-plugin. It costs 12 tokens per session (717 once invoked), scanned A, original, MIT.

A command that collects the relevant context before work begins.

In plain words
What is it for?
It helps clarify a task, its background, and the information needed before implementation starts.
Why use it?
It reduces the risk of acting on incomplete or misunderstood requirements.

Command for GitHub Copilot

Written for GitHub Copilot: a Copilot chat mode or prompt.

Good fit It helps clarify a task, its background, and the information needed before implementation starts.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/saajunaid/caddis-plugin/first-ask
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.

Clone the repo
git clone --depth 1 https://github.com/saajunaid/caddis-plugin

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.

agentmods badge for first-ask

README.md
[![agentmods](https://agentmods.dev/badge/commands/saajunaid/caddis-plugin/first-ask/github.svg)](https://agentmods.dev/commands/saajunaid/caddis-plugin/first-ask)
Your own site
<a href="https://agentmods.dev/commands/saajunaid/caddis-plugin/first-ask"><img src="https://agentmods.dev/badge/commands/saajunaid/caddis-plugin/first-ask/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 first-ask

Your own site · 80×15
<a href="https://agentmods.dev/commands/saajunaid/caddis-plugin/first-ask"><img src="https://agentmods.dev/badge/commands/saajunaid/caddis-plugin/first-ask.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 717 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00012 $0.00717
Opus 5.5 $0.00005 $0.00287
Sonnet 5.5 $0.00002 $0.00143
Haiku 4.5 $0.00001 $0.00072

Measured 1mo ago against content hash 6d9880633eae, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

first-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 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/first-ask.prompt.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/first-ask - Understand Before You Build

Do not start implementing until you fully understand the task.

Input

User's request: {{input}}


Step 1: Iterative Refinement

Your goal is to refine your understanding by asking targeted questions and exploring the codebase. Repeat until no unknowns remain.

Ask About

Category Key Questions
Goal What is the overall objective? What problem does this solve?
Users Who are the end users? How many? Internal or external?
Scope What are the must-haves (MVP) vs nice-to-haves?
Stack What technologies are in use? Any constraints?
Patterns Are there existing conventions or architecture to follow?
Constraints Performance targets? Security requirements? Timeline?
Dependencies External APIs, databases, services, existing systems?
Acceptance How will we know this is done? What are the success criteria?

Explore Proactively

Don't just ask -- investigate:

  • Scan the codebase for relevant existing code, patterns, and conventions
  • Read config files (package.json, .env.example, pyproject.toml, etc.)
  • Check existing docs for architecture decisions or constraints
  • Research if the task involves unfamiliar libraries or patterns

Refinement Loop

1. Ask specific clarifying questions (not generic ones)
2. Explore the codebase and project structure
3. Summarize your understanding back to the user
4. Ask: "Is there anything I'm missing or got wrong?"
5. Repeat until the user confirms understanding is complete

Keep your understanding as simple as it can be -- avoid overcomplicating.


Step 2: Present Your Plan

Once understanding is clear, present a concise plan:

## Understanding

{2-3 sentences summarizing what you'll build and why}

## Approach

1. {Step 1 - what you'll do first}
2. {Step 2 - next action}
3. {Step 3 - and so on}

## Key Decisions

- {Any architectural or technical decisions made during clarification}

## Out of Scope

- {What you're explicitly NOT doing}

Read the full file on GitHub · 113 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. 1mo ago First seen · 113 lines · 12 tokens per session scan A 6d9880633eae

Subscribe to this mod's changes

first-ask is a command published in the GitHub repository saajunaid/caddis-plugin (0 stars, last pushed today), licensed MIT. It adds 12 tokens to every session and 717 once invoked, about $0.0000 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 2026-09-09.