agent-loop SKILL.md skillA

agent-loop from larchanka/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add larchanka/skills/agent-loop@v1.3.0

Pins v1.3.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
larchanka/skills
Path
agent-loop/SKILL.md
Versions recorded
5
Latest version
v1.3.0, committed Nov 8, 2026
First version recorded
Oct 25, 2026
Size
9,121 bytes
Repository stars
50
License
MIT

Orchestrates a multi-agent loop involving planning, development, review, and publishing sub-agents to implement and publish features test-first and with high standards compliance.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Multi-Agent Iteration Loop

This skill coordinates four independent subagents (`planning`, `development`, `review`, and `publisher`) in a continuous loop to deliver and publish spec-compliant, standard-abiding features.

```mermaid
graph TD
    Start["User Request / Spec"] --> Plan["1. Planning Subagent<br/>(planning-and-task-breakdown)"]
    Plan --> SavePlan["Generate tasks/plan.md & tasks/todo.md"]
    SavePlan --> ApprPlan{"User Approval?"}
    ApprPlan -- No --> Plan
    ApprPlan -- Yes --> Dev["2. Development Subagent<br/>(test-driven-development + refactoring)<br/><i>Spawn fresh context per new task</i>"]
    Dev --> ImpTask["Implement Task via TDD & Quality Gates"]
    ImpTask --> Rev["3. Review Subagent<br/>(code-review)"]
    Rev --> Check{"Any Findings?"}
    Check -- "Yes (Fix with same dev context via send_message)" --> Dev
    Check -- "No (Approved)" --> CheckMore{"More Tasks in todo.md?"}
    CheckMore -- "Yes (Spawn new dev agent with fresh context)" --> Dev
    CheckMore -- No --> Pub["4. Publisher Subagent<br/>(pull-request)"]
    Pub --> OpenPR["Create Branch, Commit & gh pr create"]
    OpenPR --> Done["Done - Pull Request Published"]
```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add larchanka/skills/agent-loop@sha256:cba358cfebbb5cb5

The line at the top of this page pins the label v1.3.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_tvolzeeuoddu33wu.svg)](https://markdownregistry.com/a/art_tvolzeeuoddu33wu)

0 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Oct 25, 2026 and Nov 8, 2026, about one every 3 days.

versioncommittedcommitsizeaudit
v1.3.0 latest2026-11-08 15b8e14 9,121 BA view · diff
v1.2.02026-11-04 2ab3a85 7,840 BA view · diff
v1.1.02026-11-04 c1d2cfa 6,704 BA view · diff
v1.0.02026-10-26 53f1685 4,740 BA view · diff
v1.0.02026-10-25 eaf478b 4,739 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (9121 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

larchanka/skills · 50 stars · license MIT · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_tvolzeeuoddu33wu
GET https://markdownregistry.com/api/v1/resolve?ref=larchanka/skills/agent-loop
GET https://markdownregistry.com/api/v1/blob/cba358cfebbb5cb55a30541537701182684a0db886a84dffa60e0efec8e2e5de

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in larchanka/skills

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