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 znlgis/my-opencode-deepseek-config --skill grillinggit clone --depth 1 https://github.com/znlgis/my-opencode-deepseek-configWrote 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/znlgis/my-opencode-deepseek-config/grilling)<a href="https://agentmods.dev/skills/znlgis/my-opencode-deepseek-config/grilling"><img src="https://agentmods.dev/badge/skills/znlgis/my-opencode-deepseek-config/grilling.svg" alt="Measured on agentmods" 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 | $0.00047 | $0.00222 |
| Opus 5 | $0.00023 | $0.00111 |
| Sonnet 5 | $0.00009 | $0.00044 |
| Haiku 4.5 | $0.00005 | $0.00022 |
Grade A, and why
grilling 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 8d 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
Grilling
Discipline for aligning on requirements when intent is unclear. Ask until the ambiguity resolves, then stop.
Rules
- Ask ONE question at a time.
- Prefer multiple choice (A/B/C); each option carries its implication.
Format
Understood: [your interpretation] Unsure about: [the specific ambiguity] Options: 1. [A] — [implications] 2. [B] — [implications] Recommendation: [choice + reasoning]
Stop conditions
- Stop the moment intent is clear. Do not ask more to look thorough.
- If a default is obvious, proceed and state the assumption instead of asking.
This format matches the "When to Ask vs. Proceed" rule in AGENTS.md.
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.
- 8d ago First seen · 29 lines · 47 tokens per session scan A 406e3f21bc52
grilling is a skill published in the GitHub repository znlgis/my-opencode-deepseek-config (57 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 222 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 2026-08-30.
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