Borrowing it
Nothing to install: this file belongs to fltman/loop-engineer. 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/fltman/loop-engineer/main/.claude/commands/new-loop.mdgit clone --depth 1 https://github.com/fltman/loop-engineerWrote 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/commands/fltman/loop-engineer/new-loop)<a href="https://agentmods.dev/commands/fltman/loop-engineer/new-loop"><img src="https://agentmods.dev/badge/commands/fltman/loop-engineer/new-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/commands/fltman/loop-engineer/new-loop"><img src="https://agentmods.dev/badge/commands/fltman/loop-engineer/new-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 | $0.00013 | $0.00193 |
| Opus 5.5 | $0.00005 | $0.00077 |
| Sonnet 5.5 | $0.00003 | $0.00039 |
| Haiku 4.5 | $0.00001 | $0.00019 |
Grade A, and why
new-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.
What it actually says
Use the loop-architect agent to design and scaffold an agentic loop.
Goal: $ARGUMENTS
Rules:
- If the goal is empty, ask the user what "done" looks like.
- If the goal is not a binary, machine-checkable condition, your FIRST step is to convert it into one (or tell the user it isn't loop-ready) — do not scaffold a loop against a vague objective.
- Pick the pattern from the
loop-engineerskill's decision tree, scaffold the matching template, and wire all five guardrails (verifiable exit condition, max-iteration cap, in-code budget cap, sandbox, human checkpoint). - Hand off with: how to run it, how to stop it, and the per-iteration cost.
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 · 19 lines · 13 tokens per session scan A b22aa00f589e
new-loop is a command published in the GitHub repository fltman/loop-engineer (37 stars, last pushed 4mo ago), licensed MIT. It adds 13 tokens to every session and 193 once invoked, about $0.0001 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.
Other commands, from other repositories
orchestrator
You are the Commander of the Qwen Orchestrator.
deploy
Deploy the following target to the specified environment.
plan
Create a detailed implementation plan for the following feature.
review
Perform a comprehensive code review on the following target.
test
Execute a comprehensive test run for the following target.
orchestrate
You are in orchestration mode. Execute the following mission autonomously.