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 sruja-ai/sruja --skill grill-megit clone --depth 1 https://github.com/sruja-ai/srujaWrote 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/sruja-ai/sruja/grill-me)<a href="https://agentmods.dev/skills/sruja-ai/sruja/grill-me"><img src="https://agentmods.dev/badge/skills/sruja-ai/sruja/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/sruja-ai/sruja/grill-me"><img src="https://agentmods.dev/badge/skills/sruja-ai/sruja/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 | $0.00000 | $0.00476 |
| Opus 5 | $0.00000 | $0.00238 |
| Sonnet 5 | $0.00000 | $0.00095 |
| Haiku 4.5 | $0.00000 | $0.00048 |
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 12d 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 - Shared Understanding Skill
This skill ensures AI and human share a design concept before writing code.
Description
Use this skill when planning new features or significant changes. The AI will interview you relentlessly to reach shared understanding.
Usage
# Activate skill
@skill:grill-me
# Or use in prompt
"Grill me on this plan until we reach shared understanding."
Process
- You describe what you want to build
- AI asks questions to clarify:
- What problem does this solve?
- Who is the user?
- What are the success criteria?
- What are the dependencies?
- What could go wrong?
- How do you measure success?
- Continue until AI has no more questions
- Document the shared understanding as PRD or issues
Questions AI Will Ask
Understanding Phase
- What exactly are you trying to build?
- Why is this important?
- Who will use this?
- What happens if we don't build it?
Requirements Phase
- What are the acceptance criteria?
- What are the edge cases?
- What are the error conditions?
- What are the performance requirements?
Architecture Phase
- What does this depend on?
- What will depend on this?
- Where does this fit in the architecture?
- What are the boundary conditions?
Implementation Phase
- How will you verify this works?
- What could go wrong in production?
- What is the rollback plan?
- How do you measure success?
Example
You: I want to add a feature that shows code complexity
AI: What problem does this solve?
You: Developers don't understand their code quality
AI: What specifically do you want to measure?
You: Cyclomatic complexity
AI: What threshold indicates "too complex"?
You: 10
AI: What happens when it exceeds threshold?
AI: [continues until full understanding]
Output
After grilling, produce:
- Product Requirements Document (PRD)
- Or direct to issues/tasks
- Never start coding until shared understanding reached
Why This Matters
From the talks: "Me and the AI don't share a design concept."
- Without shared understanding, AI produces garbage
- Re-running compiler just produces more garbage
- Solution: reach shared understanding first
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.
- 12d ago First seen · 84 lines · 0 tokens per session scan A 0a61359edd69
grill-me is a skill published in the GitHub repository sruja-ai/sruja (24 stars, last pushed 5d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 476 tokens. 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 2026-08-30.
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