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 PaulRBerg/agent-skills --skill grill-megit clone --depth 1 https://github.com/PaulRBerg/agent-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/paulrberg/agent-skills/grill-me)<a href="https://agentmods.dev/skills/paulrberg/agent-skills/grill-me"><img src="https://agentmods.dev/badge/skills/paulrberg/agent-skills/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/paulrberg/agent-skills/grill-me"><img src="https://agentmods.dev/badge/skills/paulrberg/agent-skills/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 | $0.00054 | $0.00672 |
| Opus 5.5 | $0.00022 | $0.00269 |
| Sonnet 5.5 | $0.00011 | $0.00134 |
| Haiku 4.5 | $0.00005 | $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 6d 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Grill Me
This skill is coordination-exempt: skip the ai-coord gate for its declared work.
Stress-test the plan in question rounds until every material branch is resolved and the user confirms shared understanding. User instructions take precedence over this skill.
Workflow
- Extract the current objective, constraints, assumptions, and already-made decisions. Map the design tree: each decision branches into dependent decisions. Investigate facts discoverable from the codebase, environment, or supplied evidence instead of asking the user. Put decisions to the user and wait for their answers.
- Maintain a running decision record with: decision, chosen option, rationale, dependencies, and consequences. Update it after every answer. Reopen a recorded decision only when new evidence conflicts with it or the user corrects it.
- When fact-finding benefits from delegation and subagents are available, delegate the investigation to a subagent that starts with a fresh context window. Otherwise, investigate directly. Treat pending fact-finding as an unsettled prerequisite. Defer only dependent questions while asking the rest of the currently answerable questions.
- Work in rounds. The frontier contains every unresolved decision whose prerequisites are settled. Ask the entire
frontier in each round. A question that depends on another open question belongs in a later round. Number each
question as
### 🔥 Decision <N> — <topic>, then giveRecommended,Why,Tradeoff, andQuestion. Separate question cards with a horizontal rule. Word eachQuestionso "yes" accepts itsRecommendedchoice. Wait for the user's answers before the next round. - After each answer, acknowledge
✅ Recorded: <choice> — <consequence>. Recompute the frontier after each round. When useful, show settled and currently open counts. Never show a percentage because the decision tree can grow. - Continue through scope, users, interfaces, data/state, failure modes, security, operations, migration, testing, rollout, ownership, and stopping criteria only where they are material to this design.
- When no material open branches or required investigations remain, return
### ✅ Decision recordwith a decision/choice/rationale/consequence table. Then give### ⚠️ Risks, accepted unknowns with owner/resolution point, rejected alternatives that matter, and### 🏁 Completion criteria. Ask the user to explicitly confirm that the report reflects shared understanding. Wait for that confirmation before acting on the plan. If the user corrects the report, reopen the affected branches and continue the interview.
What ships with it
1 file 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.
- 6d ago Changed be9674579f5f
- 15d ago Changed · +11 lines 5f2ff7136604
- 1mo ago Changed 9a65a2822758
- 2mo ago First seen · 34 lines · 54 tokens per session scan A 4d3ffe25b548
grill-me is a skill published in the GitHub repository PaulRBerg/agent-skills (104 stars, last pushed 2d ago), licensed MIT. It adds 54 tokens to every session and 672 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 2026-08-30.
grill-me compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| grill-mePaulRBerg/agent-skills | Skill | 104 | 2d ago | MIT | A | 54 | Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 2d ago | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |