grill-me SKILL.md skillA
grill-me from zhongkaifu/tensorsharp is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add zhongkaifu/tensorsharp/grill-me@git:20261015.4e92754Pins git:20261015.4e92754 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- zhongkaifu/tensorsharp
- Path
TensorAgent/skills/grill-me/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261015.4e92754, committed Oct 15, 2026
- Size
- 3,059 bytes
- Repository stars
- 598
- License
- BSD-3-Clause
Interview the user to stress-test a plan or decision, one independent set of questions at a time.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Plan interview Interview the user relentlessly until you reach a shared understanding. Map this as a **design tree**: every decision branches into the decisions that hang off it. Work the tree in **rounds**. The **frontier** is every decision whose prerequisites are already settled: the questions you can ask _now_ without guessing at answers you haven't heard yet. Ask the whole frontier in one round: number each question and give your recommended answer. Then wait for the user's answers before the next round. Format a round like so: ``` ❓ **Q1** - **<question title>**: <question body, might be multiple paragraphs, including multiple choices> ➡️ <your recommended answer> --- ❓ **Q2** - **<question title>**: <question body, might be multiple paragraphs, including multiple choices> ➡️ <your recommended answer> ``` Word each question so "yes" accepts your recommended answer. Each round the user answers reshapes the tree: settled decisions push the frontier outward and unblock questions that depended on them. Recompute the frontier and ask the next round. A question whose answer depends on another question still open in this round belongs to a _later_ round, not this one. …
Read the whole file at its exact version.
How to install
mdr add zhongkaifu/tensorsharp/grill-me@sha256:1ac86786f01c4848The line at the top of this page pins the label git:20261015.4e92754, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_i3dmoeckwtshqa2l)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 15, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3059 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
zhongkaifu/tensorsharp · 598 stars · license BSD-3-Clause · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_i3dmoeckwtshqa2l GET https://markdownregistry.com/api/v1/resolve?ref=zhongkaifu/tensorsharp/grill-me GET https://markdownregistry.com/api/v1/blob/1ac86786f01c4848f8d8587ba71f68fe2260ca0df03472b9eff55beb7bcd87a0
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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