# Grilling

> Grill the user relentlessly about a plan or design, one decision at a time, until you reach shared understanding. Use when the user wants to stress-test a plan before building or uses a "grill" trigger phrase — and proactively, before any step that changes running state, allocates a shared resource (GPUs, ports, memory), edits an interdependent config, or could invalidate an earlier decision. Ada…

- **Type:** Skill
- **Install:** `agentstack add skill-dgilford-ai-science-toolkit-grilling`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [dgilford](https://agentstack.voostack.com/s/dgilford)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [dgilford](https://github.com/dgilford)
- **Source:** https://github.com/dgilford/ai-science-toolkit/tree/main/skills/grilling

## Install

```sh
agentstack add skill-dgilford-ai-science-toolkit-grilling
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

Interview me relentlessly about every aspect of this plan until we reach a shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer.

Ask the questions one at a time, waiting for feedback on each question before continuing. Asking multiple questions at once is bewildering.

If a *fact* can be found by exploring the codebase, look it up rather than asking me. The *decisions*, though, are mine — put each one to me and wait for my answer.

Do not enact the plan until I confirm we have reached a shared understanding.

## When to grill proactively

"If in doubt" is too weak a trigger — an agent handed a concrete task rarely *feels* in doubt, even when it hides consequential decisions. Grill *before acting*, not only when asked, whenever a step would:

- **change or restart a running service or process** (a training run, a server, a scheduled job);
- **allocate a shared resource** — GPUs, ports, memory, disk, a rate-limited API quota;
- **edit an interdependent config** whose blast radius you cannot fully see;
- **invalidate or contradict a decision** already made this session.

In these cases, surface the conflict explicitly and grill on how to resolve it before proceeding.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [dgilford](https://github.com/dgilford)
- **Source:** [dgilford/ai-science-toolkit](https://github.com/dgilford/ai-science-toolkit)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-dgilford-ai-science-toolkit-grilling
- Seller: https://agentstack.voostack.com/s/dgilford
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.