experiment-plan SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

experiment-plan from autoconference/autoconference-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add autoconference/autoconference-skill/experiment-plan@git:20260924.6751570

Pins git:20260924.6751570 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
autoconference/autoconference-skill
Path
skills/aris/experiment-plan/SKILL.md
Versions recorded
1
Latest version
git:20260924.6751570, committed Sep 24, 2026
Size
9,728 bytes
Repository stars
13
License
Apache-2.0

Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty, simplicity, and any LLM / VLM / Diffusion / RL-based contribution.

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

# Experiment Plan: Claim-Driven, Paper-Oriented Validation

Refine and concretize: **$ARGUMENTS**

## Overview

Use this skill after the method is stable enough that the next question becomes: **what exact experiments should we run, in what order, to defend the paper?** If the user wants the full chain in one request, prefer `/research-refine-pipeline`.

The goal is not to generate a giant benchmark wishlist. The goal is to turn a proposal into a **claim -> evidence -> run order** roadmap that supports four things:

1. the method actually solves the anchored problem
2. the dominant contribution is real and focused
3. the method is elegant enough that extra complexity is unnecessary
4. any frontier-model-era component is genuinely useful, not decorative

## Constants

- **OUTPUT_DIR = `refine-logs/`** — Default destination for experiment planning artifacts.
- **MAX_PRIMARY_CLAIMS = 2** — Prefer one dominant claim plus one supporting claim.
- **MAX_CORE_BLOCKS = 5** — Keep the must-run experimental story compact.
- **MAX_BASELINE_FAMILIES = 3** — Prefer a few strong baselines over many weak ones.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add autoconference/autoconference-skill/experiment-plan@sha256:c5b53692ff95b0b5

The line at the top of this page pins the label git:20260924.6751570, 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_b5jd4hdmq6xqa2ju.svg)](https://markdownregistry.com/a/art_b5jd4hdmq6xqa2ju)

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

Versions

The registry has recorded 1 version of this file, committed on Sep 24, 2026.

versioncommittedcommitsizeaudit
git:20260924.6751570 latest2026-09-24 6751570 9,728 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 (9728 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

autoconference/autoconference-skill · 13 stars · license Apache-2.0 · pushed 2026-11-01 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_b5jd4hdmq6xqa2ju
GET https://markdownregistry.com/api/v1/resolve?ref=autoconference/autoconference-skill/experiment-plan
GET https://markdownregistry.com/api/v1/blob/c5b53692ff95b0b55e80702e33afc79d9fe8d4f55a69e2a39714013f97ac595e

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 autoconference/autoconference-skill

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