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alirezarezvani/claude-skills985 installs

grill-me

Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".

How do I install this agent skill?

npx skills add https://github.com/alirezarezvani/claude-skills --skill grill-me
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill is safe. It provides a structured workflow for interviewing users about design plans using local Python scripts. All scripts use only the Python standard library and perform local file operations for session tracking. No network access or remote code execution was detected.

  • Socketwarn

    1 alert: gptAnomaly

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

Grill Me

Derived from Matt Pocock's grill-me (MIT). Matt's interview discipline preserved verbatim. Additions: extraction + question + session tools + references + cs-* wrapper (see references/companion_tooling.md).

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.

If a question can be answered by exploring the codebase, explore the codebase instead.

Rules (preserved + amplified)

  1. One question per turn. Never bundle.
  2. Provide a recommended answer with each question. Defaulting to "what do you think?" is lazy.
  3. Explore the codebase before asking. If grep / Read resolves it, do that first. Saves a turn.
  4. Walk the tree depth-first. Finish a branch before opening another.
  5. Track dependencies. If decision B depends on decision A, ask A first.

Workflow

  1. User provides a plan or design (or path to one).
  2. Run scripts/decision_tree_extractor.py to extract branches.
  3. Run scripts/question_generator.py to produce the question list with recommendations.
  4. Start a session: scripts/grill_session_tracker.py --action start.
  5. Walk the tree, one question at a time, recording answers in the session.
  6. When all branches resolved: report "shared understanding reached" + the locked-in decisions.

Output Pattern

Per question turn:

Q[i]/[total]: [question]
Recommended answer: [your call + 1-sentence rationale]

(Or: I explored the codebase and found [evidence]. Confirm?)

Tooling

See references/companion_tooling.md. Tools: extractor + generator + tracker. Agent: cs-grill-master. Command: /cs:grill-me.

Version: 1.0.0 Derived: Matt Pocock (MIT) + this repo's wrapper

How can the creator link this skill?

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/alirezarezvani/claude-skills/grill-me">View grill-me on skillZs</a>