Borrowing it
Nothing to install: this file belongs to B-A-M-N/Kontrol. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/B-A-M-N/Kontrol/main/.codex/skills/ralphie-muntz-loop/SKILL.mdgit clone --depth 1 https://github.com/B-A-M-N/KontrolWrote 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/b-a-m-n/kontrol/ralphie-muntz-loop)<a href="https://agentmods.dev/skills/b-a-m-n/kontrol/ralphie-muntz-loop"><img src="https://agentmods.dev/badge/skills/b-a-m-n/kontrol/ralphie-muntz-loop/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/b-a-m-n/kontrol/ralphie-muntz-loop"><img src="https://agentmods.dev/badge/skills/b-a-m-n/kontrol/ralphie-muntz-loop.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 | $0.00063 | $0.01456 |
| Opus 5.5 | $0.00025 | $0.00582 |
| Sonnet 5.5 | $0.00013 | $0.00291 |
| Haiku 4.5 | $0.00006 | $0.00146 |
Grade A, and why
ralphie-muntz-loop 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ralphie Muntz Loop
"I'm learnin'!" — Ralphie Muntz, until Nelson says not to anymore.
Event-driven review rendezvous pattern for Kontrol's ACP. The CLI agent submits work to WebUI, the MCP tool call blocks server-side until the human reviews and commits feedback, then the agent continues with the verdict.
No polling. No busy loops. No 30-second timers.
The Pattern
CLI Agent Kontrol Server WebUI (Human)
│ │ │
├─ start_work_session ──────────────►│ │
├─ [do work: edit, write, shell] │ │
├─ submit_for_review ───────────────►│ │
│ (workspace checkpoint captured) ├─ status: awaiting_review │
│ │ │
├─ await_review_feedback ───────────►│ ← MCP call BLOCKS here │
│ (agent is parked) │ (Promise, not polling) │
│ │ │
│ │ ◄── human reviews ─────┤
│ │ ◄── clicks verdict ────┤
│ │ │
│ ├─ feedback committed to DB │
│ ├─ ReviewWaiter.publish() │
│ ├─ waiter resolved │
│◄── feedback returned ──────────────│ ← MCP call UNBLOCKS │
│ │ │
├─ if changes_requested: │ │
│ read comments, apply fixes │ │
│ submit_for_review ──────────────►│ │
│ await_review_feedback ──────────►│ │
│ │ │
├─ if approved: │ │
│ finish, summarize │ │
│ │ │
├─ if rejected: │ │
│ stop │ │
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 Changed ff9c3352f692
- 2mo ago First seen · 169 lines · 63 tokens per session scan A 83f0b0951faa
ralphie-muntz-loop is a skill published in the GitHub repository B-A-M-N/Kontrol (0 stars, last pushed yesterday), licensed MIT. It adds 63 tokens to every session and 1,456 once invoked, about $0.0003 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 2026-08-31.
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