hypogenic SKILL.md skillA

hypogenic from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add k-dense-ai/scientific-agent-skills/hypogenic@v1.4

Pins v1.4 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
k-dense-ai/scientific-agent-skills
Path
skills/hypogenic/SKILL.md
Versions recorded
7
Latest version
v1.4, committed Oct 1, 2026
First version recorded
May 27, 2026
Size
14,348 bytes
Repository stars
56,497
License
MIT

Plans and audits use of ChicagoHAI HypoGeniC/HypoRefine for LLM-assisted hypothesis generation from labeled text datasets. Use for the `hypogenic` package, its task configs, hypothesis banks, or HypoBench datasets—not for manual hypothesis formulation or scientific validation.

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

# HypoGeniC

## Scope and scientific boundary

This skill covers the ChicagoHAI software repository
`ChicagoHAI/hypothesis-generation` and PyPI package `hypogenic`.
HypoGeniC iteratively proposes and scores textual patterns from labeled data;
HypoRefine adds literature-derived information; union workflows combine banks.

Keep these boundaries explicit:

- The output is a bank of **candidate textual hypotheses and task-prediction
  statistics**. It is not experimental confirmation, causal evidence, a
  clinical conclusion, or proof of scientific novelty.
- Predictive accuracy on held-out examples assesses task utility, not truth of a
  mechanism. Independent scientific validation still needs domain review,
  suitable controls, preregistered tests where appropriate, and new evidence.
- For researcher-led formulation of mechanisms and falsifiable predictions,
  use `../hypothesis-generation/SKILL.md`. For open-ended ideation, use the
  scientific brainstorming skill.

## Default workflow: local review first

Never start a model call automatically.

1. Classify the request: HypoGeniC software use, general hypothesis
   formulation, or downstream scientific validation.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add k-dense-ai/scientific-agent-skills/hypogenic@sha256:8ad3f55669b7c5e8

The line at the top of this page pins the label v1.4, 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_idjseaqalkdizzos.svg)](https://markdownregistry.com/a/art_idjseaqalkdizzos)

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

Versions

The registry has recorded 7 versions of this file, between May 27, 2026 and Oct 1, 2026, about one every 21 days.

versioncommittedcommitsizeaudit
v1.4 latest2026-10-01 a92663a 14,348 BA view · diff
v1.32026-09-30 ce9e6e9 13,013 BA view · diff
v1.22026-09-02 1e5eeff 12,702 BA view · diff
v1.12026-07-26 b085e11 11,744 BA view · diff
v1.12026-07-23 27ea7f4 11,749 BA view · diff
git:20260611.1b8fae32026-06-11 1b8fae3 21,857 BA view · diff
v1.02026-05-27 0936740 21,852 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 (14348 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

k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_idjseaqalkdizzos
GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/hypogenic
GET https://markdownregistry.com/api/v1/blob/8ad3f55669b7c5e8bbf1c70111259f2782fc26ec39826b011d51799de08b9da5

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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