extract-empirical-regularity SKILL.md skillA
extract-empirical-regularity 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/extract-empirical-regularity@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/extract-empirical-regularity/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260923.cbc38aa, committed Sep 23, 2026
- Size
- 1,565 bytes
- Repository stars
- 508
- License
- Apache-2.0
Extract a repeatable empirical pattern from observations, state its support and exceptions, and generalize cautiously without importing an unsupported mechanism.
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
# extract-empirical-regularity ## Purpose Extract a repeatable empirical pattern from records while preserving conditions, exceptions, and uncertainty. ## Input contract ```yaml required: [observations, variable_schema, condition_schema] optional: [replication_records, measurement_uncertainty] constraints: [regularity claims require multiple comparable observations or an explicit single-case limitation] ``` ## Procedure 1. Normalize observations, units, and conditions. 2. Identify repeated associations, trends, or invariants. 3. Test exceptions, alternative explanations, and measurement artifacts. 4. State the regularity with scope and uncertainty boundaries. If the regularity is stable enough to express through measurable factors and outcomes, consider `identify-variables` as the next tactic. ## Output contract ```yaml produces: [regularity_statement, supporting_records, exception_set, scope_conditions] delta_fields: [findings, evidence_updates, uncertainties, open_questions] ``` ## Quality gates - Conditions and exceptions accompany every regularity. - Correlation is not labeled mechanism without supporting evidence. ## Failure and counterexamples …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/extract-empirical-regularity@sha256:c6bf9ffcd9a2b422The 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_rmgnhw2yp4uyfnsw)
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Versions
The registry has recorded 1 version of this file, committed on Sep 23, 2026.
Audit of the latest version
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- 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_rmgnhw2yp4uyfnsw GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/extract-empirical-regularity GET https://markdownregistry.com/api/v1/blob/c6bf9ffcd9a2b4222f3edcf1a42c43d21b1b9a45209331279621a6d3e8f005f4
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