classify-simplicity-evidence SKILL.md skillA
classify-simplicity-evidence from yogsoth-ai/de-anthropocentric-research-engine is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add yogsoth-ai/de-anthropocentric-research-engine/classify-simplicity-evidence@git:20260923.cbc38aaPins git:20260923.cbc38aa in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- yogsoth-ai/de-anthropocentric-research-engine
- Path
skills/classify-simplicity-evidence/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260923.cbc38aa, committed Sep 23, 2026
- Size
- 1,281 bytes
- Repository stars
- 508
- License
- Apache-2.0
Classify simplicity/compression as earned, weak, or decorative based on whether it forbids alternatives, compresses independent facts, or merely renames/repackages them.
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
# classify-simplicity-evidence ## Purpose Classify explanatory compression as earned, weak, or decorative. ## Input contract ```yaml required: [explanation, covered_facts, alternatives, predictions] optional: [evidence] constraints: [facts and alternatives must be independently listed] ``` ## Procedure 1. Check whether independent facts are compressed. 2. Check whether alternatives are forbidden and predictions constrained. 3. Classify earned, weak, or decorative and preserve rationale. If simplicity provides discriminating support only through a vulnerable consequence, consider `test-risky-prediction` as the next tactic. ## Output contract ```yaml produces: [simplicity_class, compression_evidence, missing_constraints] delta_fields: [findings, evidence_updates, uncertainties, decisions] ``` ## Quality gates - Decorative simplicity is a relabeling with no independent compression or risky prediction. ## Failure and counterexamples Do not classify by description length or elegance alone. ## Provenance map - resolved: elegance-trap-probe
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/classify-simplicity-evidence@sha256:af38a595122a2ab5The line at the top of this page pins the label git:20260923.cbc38aa, 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.
[](https://markdownregistry.com/a/art_6hqwuu6pgjpfs4c3)
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Versions
The registry has recorded 1 version of this file, committed on Sep 23, 2026.
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 (1281 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 · 508 stars · license Apache-2.0 · pushed 2026-10-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_6hqwuu6pgjpfs4c3 GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/classify-simplicity-evidence GET https://markdownregistry.com/api/v1/blob/af38a595122a2ab50975c8139cfe222b1a103a805287a63fce960e9047355123
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.