Home / yogsoth-ai / de-anthropocentric-research-engine · skills/assumption-audit/SKILL.md · GitHub

assumption-audit skillA

Name: assumption-audit
Author: yogsoth-ai

assumption-audit is agent-read markdown (skill) from yogsoth-ai/de-anthropocentric-research-engine: Surface all assumptions, classify by vulnerability (load-bearing × likely-false),.

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

# Assumption Audit

Systematically audit assumptions underlying a method, theory, or gap.

## When to Use

Need to identify which hidden assumptions are most dangerous — load-bearing yet unexamined.

## Budget

| Base SOP | Target | ±10% Range |
|----------|--------|------------|
| web-search | 30 | 27–33 |
| web-research | 10 | 9–11 |
| paper-overview | 30 | 27–33 |
| paper-search | 20 | 18–22 |
| paper-research | 10 | 9–11 |

## State Ledger

```
<HARD-GATE>
| SOP | Done | Target | % |
|-----|------|--------|---|
| web-search | ? | 30 | ? |
| web-research | ? | 10 | ? |
| paper-overview | ? | 30 | ? |
| paper-search | ? | 20 | ? |
| paper-research | ? | 10 | ? |
Budget Gate: OPEN/CLOSED (>=80% required to exit)
</HARD-GATE>
```

## Available Tactics

- assumption-stress-test

## Available SOPs

**Import:** web-search, web-research, paper-overview, paper-search, paper-research
**Subagent:** abp-vulnerability-classification, clr-validation
**Shared:** assumption-surfacing

## Execution Guidance

Surface all assumptions (shared SOP), classify by vulnerability (ABP), validate causal logic (CLR 8-check). Focus on load-bearing + non-explicit assumptions.

## Output Format
…

Read the whole file at its exact version.

How to install

Latest version

mdr add yogsoth-ai/de-anthropocentric-research-engine/assumption-audit@git:20260616.b2b0cde

Exact content

mdr add yogsoth-ai/de-anthropocentric-research-engine/assumption-audit@sha256:805440cc32f28461

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](https://markdownregistry.com/badge/art_htna6yj6khf73xux.svg)](https://markdownregistry.com/a/art_htna6yj6khf73xux)

1 badge views in 30 days

Versions

version	committed	commit	size	audit
git:20260616.b2b0cde latest	2026-06-16	b2b0cde	2,845 B	A	view · diff
git:20260615.6881aee	2026-06-15	6881aee	2,823 B	A	view · diff
git:20260615.7a62936	2026-06-15	7a62936	1,704 B	A	view · diff
git:20260519.dc15fe2	2026-05-19	dc15fe2	1,565 B	A	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 (2845 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

yogsoth-ai/de-anthropocentric-research-engine · 498 stars · license Apache-2.0 · pushed 2026-09-17 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_htna6yj6khf73xux
GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/assumption-audit
GET https://markdownregistry.com/api/v1/blob/805440cc32f2846124f38a465d950b2d6061663761197303bfef1b23ef0aa526

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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