Home / dicklesworthstone / pi_agent_rust · tests/ext_conformance/artifacts/npm/pi-extensions/ralph-wiggum/SKILL.md · GitHub

ralph-wiggum skillA

ralph-wiggum is agent-read markdown (skill) from dicklesworthstone/pi_agent_rust: Long-running iterative development loops with pacing control and verifiable progress. Use when tasks require multiple iterations, many discrete steps, or periodic reflection with clear checkpoints; avoid for simple one-shot tasks or quick fixes..

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

# Ralph Wiggum - Long-Running Development Loops

Use the `ralph_start` tool to begin a loop:

```
ralph_start({
  name: "loop-name",
  taskContent: "# Task\n\n## Goals\n- Goal 1\n\n## Checklist\n- [ ] Item 1\n- [ ] Item 2",
  maxIterations: 50,        // Default: 50
  itemsPerIteration: 3,     // Optional: suggest N items per turn
  reflectEvery: 10          // Optional: reflect every N iterations
})
```

## Loop Behavior

1. **Write the task file**: Create `.ralph/<name>.md` with the task content. The tool does NOT create this file—you must write it yourself using the Write tool.
2. Work on the task and update the file each iteration.
3. Record verification evidence (commands run, file paths, outputs) in the task file.
4. Call `ralph_done` to proceed to the next iteration.
5. Output `<promise>COMPLETE</promise>` when finished.
6. Stop when complete or when max iterations is reached (default 50).

## User Commands

- `/ralph start <name|path>` - Start a new loop.
- `/ralph resume <name>` - Resume loop.
- `/ralph stop` - Pause loop (when agent idle).
- `/ralph-stop` - Stop active loop (idle only).
- `/ralph status` - Show loops.
- `/ralph list --archived` - Show archived loops.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add dicklesworthstone/pi_agent_rust/ralph-wiggum@git:20260206.e662fb3
Exact content
mdr add dicklesworthstone/pi_agent_rust/ralph-wiggum@sha256:251679e8c4232742

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_2pavcrtummh6hmag.svg)](https://markdownregistry.com/a/art_2pavcrtummh6hmag)

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Versions

versioncommittedcommitsizeaudit
git:20260206.e662fb3 latest2026-02-06 e662fb3 2,324 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 (2324 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

dicklesworthstone/pi_agent_rust · 1,776 stars · license NOASSERTION · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_2pavcrtummh6hmag
GET https://markdownregistry.com/api/v1/resolve?ref=dicklesworthstone/pi_agent_rust/ralph-wiggum
GET https://markdownregistry.com/api/v1/blob/251679e8c4232742a7e5aae57528a24cc7e5cef07143734d554919d6b27584e6

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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