grill-me

grill-me is a skill for Claude Code from OutlineDriven/odin-codex-plugin. It costs 83 tokens per session (1,972 once invoked), scanned A, original, Apache-2.0.

An adversarial interview workflow for examining a software plan or design through a sequence of decisions and questions.

In plain words
What is it for?
Use it to stress-test a proposed design and reach shared understanding by resolving one decision at a time.
Why use it?
It exposes unclear assumptions, missing dependencies, and unresolved choices before implementation begins.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: names the AskUserQuestion tool; mentions Claude Code; mentions Codex.

Good fit Use it to stress-test a proposed design and reach shared understanding by resolving one decision at a time.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/outlinedriven/odin-codex-plugin/grill-me
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.

Any agent
npx skills add OutlineDriven/odin-codex-plugin --skill grill-me
Clone the repo
git clone --depth 1 https://github.com/OutlineDriven/odin-codex-plugin

Made for: Claude Code.

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 grill-me

README.md
[![agentmods](https://agentmods.dev/badge/skills/outlinedriven/odin-codex-plugin/grill-me/github.svg)](https://agentmods.dev/skills/outlinedriven/odin-codex-plugin/grill-me)
Your own site
<a href="https://agentmods.dev/skills/outlinedriven/odin-codex-plugin/grill-me"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-codex-plugin/grill-me/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 grill-me

Your own site · 80×15
<a href="https://agentmods.dev/skills/outlinedriven/odin-codex-plugin/grill-me"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-codex-plugin/grill-me.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,972 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 $0.00083 $0.01972
Opus 5.5 $0.00033 $0.00789
Sonnet 5.5 $0.00017 $0.00394
Haiku 4.5 $0.00008 $0.00197

Measured 1mo ago against content hash f9dd03f91837, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • grill-me — 100% identical, 0 lines differ
skills/grill-me/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Adversarial interview. Walk every branch of the design tree; resolve dependencies one decision at a time; recommend an answer per question.

Modality disambiguation [LOAD-BEARING]

Three adjacent skills — pick the right one before invoking.

Skill Shape Anchor Output Use when
clarifying-question protocol VS-shaped — sample N intent hypotheses, rank, challenge each, then batch clarifying questions None — pre-planning ambiguity Survivor set + clarified scope User intent is itself unclear
this skill Linear adversarial interview, recommendation per question None — design under test is the only anchor Shared understanding, decision tree resolved User has a plan/design and wants it stress-tested
domain-model grilling Adversarial interview gated on documented domain language CONTEXT.md + docs/adr/ Updated CONTEXT.md and/or new ADR Project has documented domain language to honour

Rule of thumb: intent unclear → clarifying-question protocol. Plan exists, no domain rubric → this skill. Plan exists, domain rubric required → domain-model grilling.

Process

1. Anchor on the design under test

Confirm what the plan is in one sentence. If the user's pitch is too thin to interrogate, pivot to a clarifying-question protocol instead.

2. Walk the decision tree

For every fork in the design — scope, boundary, ordering, error surface, contract, naming, public-API shape, irreversibility — ask one question. Order by dependency: parents before children.

For each question:

  • State the question precisely (one fact at a time).
  • Recommend an answer with a one-sentence rationale.
  • Wait for the user; never proceed on assumed answers.

3. Explore the codebase before asking when possible

If a question can be resolved by reading the code, read it instead of asking.

  • Discovery: fd -e <ext> <path>.
  • Structural search: ast-grep run -p '<pattern>' -l <lang> -C 3.
  • Lexical search: git --no-pager grep -n -C 3 '<pattern>'.
  • Targeted read: bat -P -p -n -r START:END <path>.
  • Dispatch an Explore agent when the question spans >5 files or >2 directories.

Read the full file on GitHub · 145 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 · 145 lines · 83 tokens per session scan A f9dd03f91837

Subscribe to this mod's changes

grill-me is a skill published in the GitHub repository OutlineDriven/odin-codex-plugin (14 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 83 tokens to every session and 1,972 once invoked, about $0.0003 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 2026-08-30.

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