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SKILL verified MIT Self-run

Grill Me

skill-wilbeibi-wilbeibi-skills-grill-me · by wilbeibi

Interview the user one question at a time until a plan is resolved, capturing durable decisions in CONTEXT.md or ADRs when the repo warrants it. Use when asked to "grill me," stress-test a design, or challenge assumptions before implementation.

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Install

$ agentstack add skill-wilbeibi-wilbeibi-skills-grill-me

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
19d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

grill-me

Relentlessly interview the user about a plan or design until you both reach shared understanding and every open decision is resolved.

How to run it

  • Read the plan, linked docs, code, or local files needed to understand the topic first.
  • Ask one question at a time. Wait for the answer before the next question.
  • For each question, state your recommended answer and a one-line why.
  • Walk each branch of the decision tree. When an answer opens new questions, follow them; resolve dependencies between decisions in order rather than jumping around.
  • If a question can be answered by exploring the codebase, explore instead of asking.
  • Push on fuzzy words, hidden assumptions, edge cases, dependencies between decisions, and reversibility.
  • Keep going until no unresolved branch remains. Then summarize the agreed plan.

Question patterns

  • "What outcome would make this change a success?"
  • "Which existing concept owns this behavior?"
  • "What is the smallest scenario that proves the design works?"
  • "What breaks if this assumption is false?"
  • "What would a future maintainer be tempted to change back?"
  • "Which term should be canonical, and which aliases should be avoided?"

Capturing decisions

Only when the repo already keeps CONTEXT.md, CONTEXT-MAP.md, or docs/adr/, or the interview resolves terminology or a decision worth outliving the conversation. Check for those files before proposing new ones.

  • Update the appropriate CONTEXT.md as soon as terminology is resolved — it is a glossary and relationship map for project-specific language, not a spec or scratchpad.
  • Use CONTEXT-MAP.md only when the repository has multiple bounded contexts.
  • Offer an ADR only for decisions that are hard to reverse, surprising without context, and based on a real tradeoff.
  • Create docs lazily: no CONTEXT.md or docs/adr/ until there is real resolved content, and keep them short enough that future agents actually read them.

For glossary format, read [CONTEXT-FORMAT.md](CONTEXT-FORMAT.md). For ADR format and thresholds, read [ADR-FORMAT.md](ADR-FORMAT.md).

Notes

  • Do not soften or batch questions to "be efficient" — the value is the relentlessness. One question, one recommendation, repeat.
  • Stop early only if the user explicitly says to stop or accepts all remaining recommendations at once.
  • Ported from mattpocock/skills (MIT), adapted to this repo's conventions and voice.

Source & license

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

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

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.