argument-crystallization skillA
argument-crystallization is agent-read markdown (skill) from yogsoth-ai/de-anthropocentric-research-engine: Distill the strongest arguments from each perspective through Argument.
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
# Argument Crystallization **Purpose:** Rather than converging on a single answer, crystallize the strongest possible arguments for each position. Uses Argument Delphi (focus on argument quality over agreement) and Dialectical Delphi (thesis-antithesis-synthesis) to produce the most rigorous version of each stance. **When to use:** - Policy deliberation requiring clear pro/con articulation - Interdisciplinary disputes where each field has valid concerns - Pre-decision analysis where decision-makers need best arguments - Situations where the goal is argument quality, not agreement ## Budget | Parameter | Constraint | |-----------|-----------| | Rounds | 2–3 (refine arguments, not opinions) | | Perspectives | ≥4 independent | | Argument quality gate | Each argument must be steel-manned | ## State Ledger | Key | Type | Description | |-----|------|-------------| | question | string | The deliberation question | | perspectives | array | Contributing perspectives | | initial_arguments | array | First-round arguments | | critiques | array | Cross-perspective critiques | | refined_arguments | array | Steel-manned final arguments | …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/argument-crystallization@git:20260616.b2b0cdemdr add yogsoth-ai/de-anthropocentric-research-engine/argument-crystallization@sha256:f7a57db27151588dPin 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.
[](https://markdownregistry.com/a/art_537hhoioj7jbrlyi)
1 badge views in 30 days
Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260616.b2b0cde latest | 2026-06-16 | b2b0cde | 3,302 B | A | view · diff |
| git:20260615.48da2e0 | 2026-06-15 | 48da2e0 | 3,280 B | A | view · diff |
| git:20260615.7a62936 | 2026-06-15 | 7a62936 | 2,526 B | A | view · diff |
| git:20260519.dc15fe2 | 2026-05-19 | dc15fe2 | 2,440 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3302 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
yogsoth-ai/de-anthropocentric-research-engine · 497 stars · license Apache-2.0 · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_537hhoioj7jbrlyi GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/argument-crystallization GET https://markdownregistry.com/api/v1/blob/f7a57db27151588de45c15d44c73daeebfd790ad6c044543ab81c817e8e3d51b
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.