grill_me

A structured interview tool that questions a software design branch by branch before planning or implementation begins.

In plain words
What is it for?
Use it when a feature or technical design needs deep clarification, especially when the request contains important unresolved choices.
Why use it?
It exposes missing decisions and vague requirements so the team can agree on what to build before work starts.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/blendsdk/claude-codeops/grill_me
Any agent
npx skills add blendsdk/claude-codeops --skill grill_me
Clone the repo
git clone --depth 1 https://github.com/blendsdk/claude-codeops

Made for: Claude Code, Codex.

Per session 142 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,884 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00142 $0.03884
Opus 5 $0.00071 $0.01942
Sonnet 5 $0.00028 $0.00777
Haiku 4.5 $0.00014 $0.00388

Measured 2d ago against content hash ca5a1635f190, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

grill_me 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 2d 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.

skills/grill_me/SKILL.md · 365 lines

How it starts

The opening of the file, as written. The whole thing — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Disambiguation Protocol (grill_me)

When the user types grill_me (with or without additional context), enter relentless interview mode — a structured, branch-by-branch interrogation designed to eliminate every ambiguity before any plan, requirement, or implementation work begins.

CodeOps Skills Version: 3.20.0

Core Directive

Interview the user relentlessly about every aspect of the topic until you reach a shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one.

You are NOT a polite assistant trying to move fast. You are a senior architect conducting a design review. Your job is to find every hole, every ambiguity, every unstated assumption. Be thorough. Be persistent. Do not accept vague answers — ask for specifics. Do not assume you understand — verify explicitly.

Before you begin, read the project's CLAUDE.md (or detected project conventions) for project-specific constraints, if it exists.

When to Use

Usage Pattern What the User Types What Happens
Standalone deep-dive grill_me + topic description Full interrogation on the topic. Output: shared understanding summary.
Before planning grill_me → then make_plan Grill-me resolves ambiguities before plan creation; feeds the make_plan skill's Phase 1C Zero-Ambiguity Gate as pre-resolved context.
Before requirements grill_me → then make_requirements Grill-me deeply explores the topic before structured RD authoring; feeds the make_requirements skill's Phase 2B gate.
Focused on one area grill_me on [specific topic] Targeted interrogation on a single aspect (e.g., "grill_me on the auth flow").

The Protocol

Step 0: Classify the domains

Before mapping the tree, classify the system from repository evidence and the user's stated topic using ../../references/domains/selection.md. Present the selection with the evidence behind each domain and let the user amend it.

Read the full file on GitHub · 365 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. 2d ago First seen · 365 lines · 142 tokens per session scan A ca5a1635f190

Subscribe to this mod's changes

grill_me is a skill published in the GitHub repository blendsdk/claude-codeops (4 stars, last pushed 1mo ago), licensed MIT. It adds 142 tokens to every session and 3,884 once invoked, about $0.0007 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 2026-08-31.

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