Home / ulises-jeremias / agent-toolkit · plugins/agent-toolkit-complete/.github/skills/loop-runner/SKILL.md · GitHub

loop-runner skillA

loop-runner is agent-read markdown (skill) from ulises-jeremias/agent-toolkit: Execute and manage loop engineering primitives (init, run, status, audit) from an AI coding.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# loop-runner

> Execute and manage loop engineering primitives from an AI coding session.

---

## What this skill does

This skill wraps the **`agent-toolkit loop`** CLI (V product command), exposing loop
operations to AI coding agents without requiring the user to remember CLI flags.

**Loop engineering** is the practice of designing recursive, autonomous processes
that prompt AI agents — as opposed to prompting agents directly. Loops have
durable state (`STATE.md`), safety gates (allowlist/deny), cost budgets, and
rollout tiers (L1 report-only → L2 PR-gated → L3 unattended).

## Capabilities

| Subcommand | When to use |
|-----------|-------------|
| `loop init <pattern>` | Scaffold a new loop from a starter |
| `loop run <loop>` | Execute one loop iteration |
| `loop status` | Show all loops: tier, cadence, last run |
| `loop audit [loop]` | Summarize past run success/cost |
| `loop cost <loop>` | Estimate per-run token cost |
| `loop schedule <loop>` | Install systemd/launchd timer |
| `loop sync` | Push escalations to knowledge/todos |

## How to invoke

```bash
# Preferred — agent-toolkit V CLI
agent-toolkit loop status
agent-toolkit loop run daily-triage
…

Read the whole file at its exact version.

How to install

Latest version
mdr add ulises-jeremias/agent-toolkit/loop-runner@v1.1
Exact content
mdr add ulises-jeremias/agent-toolkit/loop-runner@sha256:6491c61915a112c4

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_niizntvilnbwhnt4.svg)](https://markdownregistry.com/a/art_niizntvilnbwhnt4)

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Versions

versioncommittedcommitsizeaudit
v1.1 latest2026-08-31 856ee57 3,459 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3459 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

ulises-jeremias/agent-toolkit · 18 stars · license MIT · pushed 2026-09-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_niizntvilnbwhnt4
GET https://markdownregistry.com/api/v1/resolve?ref=ulises-jeremias/agent-toolkit/loop-runner
GET https://markdownregistry.com/api/v1/blob/6491c61915a112c46521d3f800eaf7a1c35009b46d8aef1cf638add09d5f9ecd

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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