what-if-oracle SKILL.md skillA

what-if-oracle 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/what-if-oracle@v1.3

Pins v1.3 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/what-if-oracle/SKILL.md
Versions recorded
5
Latest version
v1.3, committed Oct 1, 2026
First version recorded
May 27, 2026
Size
11,817 bytes
Repository stars
56,497
License
MIT

Supports structured what-if scenario analysis for research planning, experimental contingencies, and scientific project decisions. Explores favorable, reference, adverse, wild-card, contrarian, and second-order scenarios with explicit assumptions, evidence, and decision triggers. Use to stress-test a research plan under uncertainty; scenario narratives do not estimate causal effects or calibrated forecast probabilities.

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

# What-If Oracle — Research Scenario Planning

Explore a bounded set of possible futures before committing research resources. The output is a scenario comparison, an evidence ledger, and a contingency plan. It does not cover the full possibility space or establish that a narrated mechanism will occur.

The six branch prompts and **0·IF·1** mnemonic come from the upstream What-If framework. Treat the mnemonic as a framing aid: a potential change (**0**), a stated condition (**IF**), and a resulting scenario (**1**). It is not a scientific law or a computational model.

The author's [What-If Paradigm](https://doi.org/10.5281/zenodo.18736841) and [Unified Theory of Digital Consciousness](https://doi.org/10.5281/zenodo.18807387) are catalogued by Zenodo as preprints. Their deposit and DOI establish provenance, not forecasting accuracy or empirical validation of this workflow.

## When to use

Use for questions such as:

- What if sample attrition is higher than planned?
- What if a method fails to transfer to a new instrument, cohort, or site?
- What if a key reagent, dataset, or measurement becomes unavailable?
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add k-dense-ai/scientific-agent-skills/what-if-oracle@sha256:509af149c8cfc8f1

The line at the top of this page pins the label v1.3, 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_itjpctyr46d7ucaa.svg)](https://markdownregistry.com/a/art_itjpctyr46d7ucaa)

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

Versions

The registry has recorded 5 versions of this file, between May 27, 2026 and Oct 1, 2026, about one every 32 days.

versioncommittedcommitsizeaudit
v1.3 latest2026-10-01 a92663a 11,817 BA view · diff
v1.22026-09-30 ce9e6e9 10,649 BA view · diff
v1.12026-07-26 b085e11 10,017 BA view · diff
git:20260611.1b8fae32026-06-11 1b8fae3 10,028 BA view · diff
v1.12026-05-27 0936740 10,019 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 (11817 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_itjpctyr46d7ucaa
GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/what-if-oracle
GET https://markdownregistry.com/api/v1/blob/509af149c8cfc8f17dd15608d6337eb8a7ff3f4056fcadeda573c5e527c68a97

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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