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 wahidyankf/ose-public --skill grill-megit clone --depth 1 https://github.com/wahidyankf/ose-publicWrote 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/wahidyankf/ose-public/grill-me)<a href="https://agentmods.dev/skills/wahidyankf/ose-public/grill-me"><img src="https://agentmods.dev/badge/skills/wahidyankf/ose-public/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/wahidyankf/ose-public/grill-me"><img src="https://agentmods.dev/badge/skills/wahidyankf/ose-public/grill-me.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 | $0.00059 | $0.00484 |
| Opus 5.5 | $0.00024 | $0.00194 |
| Sonnet 5.5 | $0.00012 | $0.00097 |
| Haiku 4.5 | $0.00006 | $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 2d 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 plans and designs through relentless, structured questioning before implementation begins.
When to activate
Activate when:
- User says "grill me", "challenge my plan", "stress-test this", "interrogate my design", or any close variant
- A new plan is being created and design decisions remain open
- A design review is requested before committing to implementation
Process
Interview the user about every aspect of the plan until shared understanding is reached. Walk down each branch of the decision tree, resolving dependencies one-by-one.
This skill is the canonical implementation of the Grilling-With-Options Convention — that convention is the normative source for the format, mechanism, and scope below. Keep them in sync.
See Process — Hard Rules for the seven HARD rules (explore-first, 2-4 mutually-exclusive options, exactly one Recommended, one decision per question, unlisted write-in support, the two standing options, continue until resolved) and the two most common failure modes.
Mechanism
See Mechanism and Staged Native Rendering for the native-interactive-tool requirement, delegated-agent handoff envelope, staged rendering for 3-4-leaf envelopes, and the non-interactive fallback format.
After the grilling
When all decision tree branches are resolved:
- Summarize every decision made and its rationale
- Confirm shared understanding explicitly
- Signal readiness to proceed to plan writing or implementation
Platform Binding Examples
See Platform Binding Examples for the Claude Code (AskUserQuestion), OpenCode (question tool), and Codex (request_user_input) invocation contracts.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 53 lines · 59 tokens per session scan A 0d852127af48
grill-me is a skill published in the GitHub repository wahidyankf/ose-public (12 stars, last pushed today), licensed MIT. It adds 59 tokens to every session and 484 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-14.
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