extract-causal-structure SKILL.md skillA
extract-causal-structure 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-causal-structure@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-causal-structure/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260923.cbc38aa, committed Sep 23, 2026
- Size
- 2,615 bytes
- Repository stars
- 508
- License
- Apache-2.0
Extract causal structure from source material at requested granularity: individual causal claims, ordered mechanism chains, mediators, assumptions, and stated boundary conditions.
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-causal-structure ## Purpose Extract causal claims, mechanism chains, mediators, assumptions, and boundary conditions at caller-specified granularity. ## Input contract ```yaml required: [source_material, extraction_granularity, causal_schema] optional: [theory_description, domain_ontology, evidence_links] constraints: [preserve direction and scope; distinguish observed association from asserted causation; attach evidence] ``` ## Procedure 1. Identify candidate cause, mediator, effect, conditions, and temporal order. 2. Extract X->mediator->Y chains and direct X->Y claims at the requested granularity. 3. Record assumptions, boundary conditions, and evidence for each edge. 4. Assemble the causal graph and flag unsupported or ambiguous links. If the extracted causal relations contain incompatible directions or effects under shared scope, consider `detect-contradiction` as the next tactic. ## Output contract ```yaml produces: [causal_claims, mechanism_chains, causal_graph, boundary_conditions, evidence_links] delta_fields: [findings, evidence_updates, hypothesis_updates, uncertainties] ``` ## Quality gates …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/extract-causal-structure@sha256:dd64673a56688d08The 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_fxdj4l3asevsgcfw)
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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
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- pass: No link to an exfiltration or paste host
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- 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_fxdj4l3asevsgcfw GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/extract-causal-structure GET https://markdownregistry.com/api/v1/blob/dd64673a56688d08a60fde69fb7d7e8c277239abbaf65e1269b81ae7ab5ef730
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