grill-me-codex
Skill27 starsChanged 3 months agoMITView on GitHub
Use when the user says grill me, wants to stress-test a plan or design, needs a rigorous interview before committing to a decision, or asks for adversarial product, architecture, or implementation questions.
4 other projects use a version of this.
Adopted by
Most recently taken up by
- sharanlabs/claude-os-publictheir own version, first seen Nov 1, 2026
- jaron-goh-centr/claude-skillstheir own version, first seen Oct 11, 2026
- gregpa/claude-skillstheir own version, first seen Jul 29, 2026
- Roentek/Claude_Code_Boilerplate_Frameworktheir own version, first seen May 5, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 4
- Roentek/Claude_Code_Boilerplate_Framework★ 4same name
- gregpa/claude-skills★ 0same name
- jaron-goh-centr/claude-skills★ 0same name
- sharanlabs/claude-os-public★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository16 other files it gives its agents.
- adversarial-plan-review-codexSkill
- canvas-design-codexSkill
- code-intelligenceSkill
- code-mapper-skillSkill
- deep-planning-codexSkill
- document-handoffSkill
- docx-winSkill
- frontend-design-codexSkill
- grill-with-docs-codexSkill
- handoff-codexSkill
- pptx-winSkill
- repo-map-codexSkill
- ultraplan-codexSkill
- verification-plan-codexSkill
- web-artifacts-builder-codexSkill
- xlsx-winSkill
The file
We split this skill into the rules it gives an agent
11 rules. 0 are common, 10 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
10
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
Ask one question at a time, then wait for the user's answer before continuing.
- Distinctive: line 17
If the answer can be discovered by reading the codebase, docs, plans, issues, or existing artifacts, inspect those first instead of asking.
- Very specific: line 18
Prefer rg --files for file discovery, rg for search, and normal file reads for specific files.
- Distinctive: line 19
Keep the session conversational and specific.
- Distinctive: line 20
Do not modify files unless the user explicitly asks for a written artifact or implementation work.
- Distinctive: line 27
Ask one pointed question.
- Distinctive: line 29
Use the user's answer to choose the next branch.
- Distinctive: line 30
Stop only when the important decisions, tradeoffs, and open risks are explicit.
- Distinctive: line 34
Ask only the highest-impact unresolved question, then wait for the user's answer.
- Distinctive: line 36
Keep accepted decisions in the conversation unless the user explicitly requests a durable decision log.
- Distinctive: line 41
When the grilling is complete, summarize:
“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Codex Grill Me
Purpose
Interview the user relentlessly about a plan or design until the decision tree is resolved enough for shared understanding.
Operating Rules
- Ask one question at a time, then wait for the user's answer before continuing.
- For each question, include your recommended answer and a brief reason.
- Walk dependencies between decisions in order. Resolve prerequisite choices before asking downstream questions.
- If the answer can be discovered by reading the codebase, docs, plans, issues, or existing artifacts, inspect those first instead of asking.
- Prefer
rg --filesfor file discovery,rgfor search, and normal file reads for specific files. - Keep the session conversational and specific. Avoid broad checklists that make the user answer everything at once.
- Do not modify files unless the user explicitly asks for a written artifact or implementation work.
Interview Loop
- Restate the plan or design in one sentence, including any assumptions you are making.
- Identify the most important unresolved branch of the decision tree.
- Explore available repo context if that branch depends on existing code or docs.
- Ask one pointed question.
- Give your recommended answer.
- Use the user's answer to choose the next branch.
- Stop only when the important decisions, tradeoffs, and open risks are explicit.
Native Plan Mode
- Ask only the highest-impact unresolved question, then wait for the user's answer.
- Inspect repository files, docs, plans, and source data before asking anything discoverable.
- Keep accepted decisions in the conversation unless the user explicitly requests a durable decision log.
- Respect the active collaboration mode's question and write rules; do not create a second approval protocol.
Final Summary
When the grilling is complete, summarize:
- confirmed decisions;
- open questions that still need owner input;
- risks or contradictions discovered during the interview;
- the recommended next action.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

