Home / jnpiyush / agentx · .github/skills/development/iterative-loop/SKILL.md · GitHub

iterative-loop skillA

iterative-loop is agent-read markdown (skill) from jnpiyush/agentx: Implement Ralph Loop iterative refinement for AI agent tasks. Use when a task needs multiple passes to reach quality: TDD red-green-refactor cycles, incremental feature building, self-correcting code generation, or any work with verifiable completion criteria. Covers loop setup, completion promises, progress tracking, and escape hatches..

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

# Iterative Loop (Ralph Loop)

> **Purpose**: Iterative self-referential refinement loops for AI agent tasks.
> **Scope**: Loop setup, completion criteria, progress tracking, self-correction patterns.

---

## When to Use This Skill

- Tasks requiring multiple passes to reach quality (TDD cycles, refactoring)
- Incremental feature building with verifiable milestones
- Self-correcting code generation (write -> test -> fix -> repeat)
- Any work with clear, machine-verifiable completion criteria
- Greenfield implementations where autonomous iteration beats one-shot

## When NOT to Use

- One-shot operations (simple file edits, config changes)
- Tasks requiring human judgment or design decisions mid-loop
- Tasks with unclear or subjective success criteria
- Production debugging (use targeted debugging instead)

## Prerequisites

- Frontier CLI installed (`.agentx/frontier.ps1` or `.agentx/frontier.sh`)
- Clear completion criteria defined before starting
- Test framework configured (for TDD loops)

## Rationalization Table

The loop is the gate, not a suggestion. Push back against these common ways of skipping it.

| Rationalization | Reality |
|-----------------|---------|
…

Read the whole file at its exact version.

How to install

Latest version
mdr add jnpiyush/agentx/iterative-loop@v1.0.0
Exact content
mdr add jnpiyush/agentx/iterative-loop@sha256:5b6405dac18e454d

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.

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Versions

versioncommittedcommitsizeaudit
v1.0.0 latest2026-09-15 f17c505 18,205 BA view · diff
v1.0.02026-09-03 b3f2610 18,163 BA view · diff
v1.0.02026-08-26 9e356eb 18,141 BA view · diff
v1.0.02026-08-25 5df4fd5 18,417 BA view · diff
v1.0.02026-05-17 4703a79 18,430 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 (18205 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

jnpiyush/agentx · 16 stars · license Apache-2.0 · pushed 2026-09-21 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_4jzekfek4gek35ze
GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/iterative-loop
GET https://markdownregistry.com/api/v1/blob/5b6405dac18e454d048e399b08503e465e14668a05c76cf1b039e3fdbccaa789

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