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 softspark/ai-toolkit --skill grill-megit clone --depth 1 https://github.com/softspark/ai-toolkitWrote 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/softspark/ai-toolkit/grill-me)<a href="https://agentmods.dev/skills/softspark/ai-toolkit/grill-me"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/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/softspark/ai-toolkit/grill-me"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/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 | $0.00038 | $0.00665 |
| Opus 5.5 | $0.00015 | $0.00266 |
| Sonnet 5.5 | $0.00008 | $0.00133 |
| Haiku 4.5 | $0.00004 | $0.00067 |
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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Grill Me
$ARGUMENTS
Interview relentlessly about every aspect of the plan until reaching shared understanding.
Usage
/grill-me [plan or design to stress-test]
What This Command Does
- Reads the plan or design (from context, file, or user description)
- Walks down each branch of the decision tree
- Resolves dependencies between decisions one-by-one
- Provides recommended answers for each question
- Continues until shared understanding is reached
Rules
- MUST ask questions one at a time — batching defeats the Socratic process
- MUST provide a recommended answer with every question so the user can accept, refine, or reject
- NEVER settle for vague or hand-wavy answers — press for specifics ("what does 'scale' mean here — 10k req/s or 10M?")
- NEVER skip ahead before the current branch is resolved — dependencies between decisions matter
- CRITICAL: if a question can be answered by exploring the codebase, explore instead of asking. Do not outsource verifiable facts to the user.
- MANDATORY: apply Devil's Advocate critique to every major decision — the default answer ("let's ship it") is almost always the one that needs challenging
Gotchas
- Grilling can feel adversarial. Frame questions as "what if X happens" not "your plan is wrong because X" — the goal is shared understanding, not winning.
- Fatigue kicks in around 10 questions deep. For larger plans, pause and summarize every ~7 questions so the user can reorient before continuing.
- Some disagreements cannot be resolved by argument — they need data. If a question loops (user defends A, grill defends B, repeat), recommend a spike or experiment instead of more questions.
- The user's "final answer" after heavy grilling may be reluctant compliance, not genuine agreement. Watch for hedging language ("I guess", "sure, fine") and probe once more.
- Grilling a plan that is already detailed and well-vetted produces diminishing returns and annoyance. Know when to stop — exit condition is "shared understanding", not "exhaustive coverage".
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.
- 1mo ago First seen · 54 lines · 38 tokens per session scan A ee48c8435f9e
grill-me is a skill published in the GitHub repository softspark/ai-toolkit (180 stars, last pushed yesterday), licensed Apache-2.0. It adds 38 tokens to every session and 665 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 2026-09-03.
Other skills, from other repositories
cline-fix-volatile-msg
Ladder-aware Cline Anthropic caching — verify the rolling read/write ladder on the wire, then add the tools breakpoint and tune TTL. Updated for the 2026-08 AI-SDK monorepo.
continue-gemini-explicit
Continue's Gemini provider doesn't use the cachedContents API at all. Add explicit caching for sessions over the minimum token threshold.
roo-fix-volatile-msg
Ladder-aware Roo Code Anthropic caching — verify the rolling read/write ladder on the wire, then close the real gaps (Vertex 4-block budget, MiniMax path).
aider-1h-ttl
Aider uses 5min TTL by default and works around long pauses with keepalive pings. Wire up the 1h TTL beta instead.
cline-openai-cache-key
Cline OpenAI native provider sends no promptcachekey. Add a stable per-task key so cachedtokens stops being zero.
continue-enable-defaults
Continue's prompt caching is opt-in via config and off by default. Flip the default to systemAndTools.