Home / getedgehq / skills · autonomous-research/SKILL.md · GitHub

autonomous-research skillA

autonomous-research is agent-read markdown (skill) from getedgehq/skills: An 18-agent pipeline that turns one topic line into a drafted.

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

# Autonomous Research

Turns one topic line into a finished paper with a real literature base.

Ported from OpenDraft (github.com/federicodeponte/opendraft, MIT), which runs this
as a hosted engine. Here the engine is you: eighteen stages, each one a prompt in
`agents/`, plus five scripts that do the parts a language model must not do by hand.

**You are the model.** No key, no service, no account. The only network calls are
Crossref, OpenAlex and DataCite, all open endpoints.

## The one command

```
Write a paper on <topic>
```

Everything below follows from that. Do not ask the user to run the stages
themselves; run them.

## Ask four things first

Before stage 5, if the user has not already said, ask for:

1. **Target venue**, or "none, general academic".
2. **Total word limit.**
3. **Citation style**, one of the six in `references/citation-styles.md`.
4. **Document type**, one of the types in `references/paper-types.md`.

These are four questions in one message, not an interview, and they are the only
questions the pipeline asks. Everything else it decides.

Ask because the cost of guessing lands at the end and cannot be paid there. A
…

Read the whole file at its exact version.

How to install

Latest version
mdr add getedgehq/skills/autonomous-research@git:20260917.e041983
Exact content
mdr add getedgehq/skills/autonomous-research@sha256:9cf22eb9c82313a5

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_rizr2zixd7jvoyq5.svg)](https://markdownregistry.com/a/art_rizr2zixd7jvoyq5)

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Versions

versioncommittedcommitsizeaudit
git:20260917.e041983 latest2026-09-17 e041983 29,139 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 (29139 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

getedgehq/skills · 3 stars · license Apache-2.0 · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_rizr2zixd7jvoyq5
GET https://markdownregistry.com/api/v1/resolve?ref=getedgehq/skills/autonomous-research
GET https://markdownregistry.com/api/v1/blob/9cf22eb9c82313a50ebfc6c22d4476c27dab836707355b9198d3272852dfccd2

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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