analogy-extraction skillA
analogy-extraction is agent-read markdown (skill) from yogsoth-ai/de-anthropocentric-research-engine: Extract transferable structural principles from source domains. Orchestrates.
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
# Analogy Extraction Extract transferable structural principles from source domains. ## Stages ### Stage 1: Source Identification Identify candidate source domains using domain-scanning SOP. Evaluate each for structural similarity depth (surface/structural/systemic). ### Stage 2: Abstraction For each promising source, extract the abstract principle using abstraction-extraction or biological-strategy-extraction SOP. Strip domain-specific details to reveal the transferable mechanism. ### Stage 3: Structural Mapping Map source structure to target domain. Identify: corresponding elements, missing elements (gaps), extra elements (opportunities). Use structural-mapping SOP. ### Stage 4: Transfer Validation Assess mapping quality: Is the analogy surface-level (shared labels) or deep (shared relational structure)? Use analogy-quality-assessment SOP. Only deep analogies warrant transfer. ## Minimum Yield | Metric | Floor | |--------|-------| | Source domains scanned | ≥5 | | Abstractions extracted | ≥3 | | Structural mappings completed | ≥3 | | Validated deep analogies | ≥2 | ## Available SOPs | SOP | Role | |-----|------| …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/analogy-extraction@git:20260615.7a62936mdr add yogsoth-ai/de-anthropocentric-research-engine/analogy-extraction@sha256:a349332ad05e7a66Pin 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_iat7iecmqyvckosi)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260615.7a62936 latest | 2026-06-15 | 7a62936 | 1,880 B | A | view · diff |
| git:20260519.dc15fe2 | 2026-05-19 | dc15fe2 | 1,933 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 (1880 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_iat7iecmqyvckosi GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/analogy-extraction GET https://markdownregistry.com/api/v1/blob/a349332ad05e7a665276cc990830a8ebe8c5fa721643dd5cd6436bec3812ae0f
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