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 pedroiff0/awesome-skills --skill grill-me-interviewgit clone --depth 1 https://github.com/pedroiff0/awesome-skillsWrote 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/pedroiff0/awesome-skills/grill-me-interview)<a href="https://agentmods.dev/skills/pedroiff0/awesome-skills/grill-me-interview"><img src="https://agentmods.dev/badge/skills/pedroiff0/awesome-skills/grill-me-interview/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/pedroiff0/awesome-skills/grill-me-interview"><img src="https://agentmods.dev/badge/skills/pedroiff0/awesome-skills/grill-me-interview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00042 | $0.00273 |
| Opus 5 | $0.00021 | $0.00137 |
| Sonnet 5 | $0.00008 | $0.00055 |
| Haiku 4.5 | $0.00004 | $0.00027 |
Grade A, and why
grill-me-interview 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 9d 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 Architecture & Requirements Interview
Attribution: Created by Matt Pocock (skills.sh). Adapted to canonical multi-agent format.
Use this skill when a user proposes a project or feature and needs a thorough design alignment interview before writing any code.
Interview Rules
- One Question at a Time: Never overwhelm the user with a wall of 5+ questions. Ask one focused question, wait for the response, then dig deeper.
- Challenge Assumptions: Actively look for scalability bottlenecks, security oversights, concurrency bugs, and ambiguous data models.
- Synthesize & Conclude: Once all tradeoffs are clarified, produce a concise summary specification artifact for user sign-off.
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.
- 9d ago First seen · 27 lines · 42 tokens per session scan A d2f78d5d068b
grill-me-interview is a skill published in the GitHub repository pedroiff0/awesome-skills (1 stars, last pushed 5d ago), licensed MIT. It adds 42 tokens to every session and 273 once invoked, about $0.0002 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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