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 agentmods add skills/hachej/boring-ui/boring-loop-grillnpx skills add hachej/boring-ui --skill boring-loop-grillgit clone --depth 1 https://github.com/hachej/boring-uiWrote 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/hachej/boring-ui/boring-loop-grill)<a href="https://agentmods.dev/skills/hachej/boring-ui/boring-loop-grill"><img src="https://agentmods.dev/badge/skills/hachej/boring-ui/boring-loop-grill.svg" alt="Measured on agentmods" 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 | $0.00036 | $0.00253 |
| Opus 5 | $0.00018 | $0.00127 |
| Sonnet 5 | $0.00007 | $0.00051 |
| Haiku 4.5 | $0.00004 | $0.00025 |
Grade A, and why
boring-loop-grill 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.
What it actually says
Boring Loop Grill
Make an unclear issue clear enough to route. Do not plan deeply. Do not implement.
Steps
- Read the issue, comments, captured context, screenshots, and nearest code/docs.
- Self-answer anything the repo can answer quickly.
- Ask only questions that change routing, acceptance, proof, or risk.
- Use grill-me style questions; use ask-user for async owner input.
- Write the clarified summary, acceptance, proof path, and open risks back to the issue.
Exit
- Still unclear:
state:blocked phase:grill track:owner, gateclarity. - Clear enough:
state:queued phase:triage track:owner, gatetriage. - Not worth doing:
state:done, with a short reason.
For async grill, leave one pending ask-user session with issue URL/title, why it
is blocked, the questions, answer format, and resume command
/loop-grill <issue>.
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 First seen · 29 lines · 36 tokens per session scan A f53db0dc985d
boring-loop-grill is a skill published in the GitHub repository hachej/boring-ui (46 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 253 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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