baseline-selector SKILL.md skillA

baseline-selector from pengqianhan/ai-human-research-os is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add pengqianhan/ai-human-research-os/baseline-selector@git:20260715.38d79be

Pins git:20260715.38d79be in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
pengqianhan/ai-human-research-os
Path
research-skills-hub/collected-skills/baseline-selector/SKILL.md
Versions recorded
1
Latest version
git:20260715.38d79be, committed Jul 15, 2026
Size
12,492 bytes
Repository stars
3
License
MIT

Use when selecting, auditing, or justifying experimental baselines for a research idea, paper draft, task, benchmark, or experiment plan. Finds classic methods, recent SOTA, direct competitors, strong simple baselines, ablation baselines, resource-matched comparisons, and reviewer-expected missing baselines, but only admits baselines with non-empty, accessible GitHub repositories that appear reproducible. Records strong papers without usable open-source code as excluded candidates rather than…

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

# Baseline Selector

Use this skill to turn a research idea, task, paper, or experiment plan into a defensible baseline set for experiments and paper submission.

Core rule:

```text
No usable GitHub implementation, no selected baseline.
```

A method may be important, classic, or SOTA, but it cannot enter the recommended baseline set unless its GitHub repository is accessible, non-empty, and plausibly reproducible. Record such methods as excluded candidates with the exclusion reason.

## Modes

Decide the mode from the user request:

1. **Idea to baselines**: user gives a new idea or method sketch.
2. **Task to SOTA**: user asks for baselines for a task, dataset, or benchmark.
3. **Paper audit**: user provides a draft or existing baseline list to check for gaps.
4. **Reviewer-risk check**: user asks what reviewers will say is missing.
5. **Resource-limited selection**: user gives compute/time limits and needs a minimal set.
6. **Reproduction planning**: user already has candidates and needs runnable code choices.

## Output Profiles

Choose an output profile based on the user's real objective. The same task may produce different baseline recommendations under different profiles.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add pengqianhan/ai-human-research-os/baseline-selector@sha256:c3d9a307b953f455

The line at the top of this page pins the label git:20260715.38d79be, 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_qn7tblnxbe47kcv7.svg)](https://markdownregistry.com/a/art_qn7tblnxbe47kcv7)

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

Versions

The registry has recorded 1 version of this file, committed on Jul 15, 2026.

versioncommittedcommitsizeaudit
git:20260715.38d79be latest2026-07-15 38d79be 12,492 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 (12492 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

pengqianhan/ai-human-research-os · 3 stars · license MIT · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_qn7tblnxbe47kcv7
GET https://markdownregistry.com/api/v1/resolve?ref=pengqianhan/ai-human-research-os/baseline-selector
GET https://markdownregistry.com/api/v1/blob/c3d9a307b953f455883cec7bdf1ca7cdf05c3e02c875d7a04c2a4ac1739d96ad

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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