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.
npx skills add J-StaR-Films-Studios/VibeCode-Protocol-Suite --skill grill-megit clone --depth 1 https://github.com/J-StaR-Films-Studios/VibeCode-Protocol-SuiteWrote 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.
[](https://agentmods.dev/skills/j-star-films-studios/vibecode-protocol-suite/grill-me)<a href="https://agentmods.dev/skills/j-star-films-studios/vibecode-protocol-suite/grill-me"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/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.
<a href="https://agentmods.dev/skills/j-star-films-studios/vibecode-protocol-suite/grill-me"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/grill-me.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00028 | $0.00433 |
| Opus 5 | $0.00014 | $0.00217 |
| Sonnet 5 | $0.00006 | $0.00087 |
| Haiku 4.5 | $0.00003 | $0.00043 |
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 7d 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.
What it actually says
Grill Me
Stress-test a plan, design, or set of requirements through an interactive interview. Combines structured Question Frontier Trees with Adversarial Interrogation.
Core Discipline
Interview the user relentlessly until you reach a shared, unambiguous understanding. Map decisions as a Design Tree: every decision branches into the secondary 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.
Question Format
❓ **Q1** - **<Question Title>**: <Question body detailing context and options>
➡️ **Recommended**: <Your recommended answer and rationale>
The Adversarial Lens (Interrogation Mode)
While working the tree, actively hunt for failure modes and unstated assumptions:
- Failure Modes & Degradation: What happens when the primary network call, cache, or external API fails?
- Concurrency & Race Conditions: What happens when two users or subagents write to this resource simultaneously?
- Data Boundary Leaks: Are types strictly bounded, or is untrusted data passing through without validation?
- Load-bearing Assumptions: What implicit assumptions is this design leaning on? Prove or invalidate them.
When to Stop
Stop when:
- Every branch of the frontier has been answered or explicitly deferred.
- All load-bearing dependencies and failure modes are accounted for.
- The design can be converted directly into a formal spec without further clarifying questions.
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.
- 7d ago First seen · 46 lines · 28 tokens per session scan A ae26e1bd742d
grill-me is a skill published in the GitHub repository J-StaR-Films-Studios/VibeCode-Protocol-Suite (24 stars, last pushed today), licensed ISC. It adds 28 tokens to every session and 433 once invoked, about $0.0001 per session on Opus 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 2026-09-03.
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