construct-evidence-network SKILL.md skillA
construct-evidence-network 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/construct-evidence-network@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/construct-evidence-network/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260923.cbc38aa, committed Sep 23, 2026
- Size
- 1,576 bytes
- Repository stars
- 508
- License
- Apache-2.0
Construct a network-meta-analysis evidence graph and evaluate connectivity/transitivity prerequisites.
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
# construct-evidence-network ## Purpose Construct an evidence graph for network synthesis and evaluate connectivity, transitivity, and comparison support. ## Input contract ```yaml required: [evidence_records, intervention_nodes, outcome_schema] optional: [study_designs, effect_sizes, covariate_schema] constraints: [edges require a shared outcome definition and traceable comparison evidence] ``` ## Procedure 1. Normalize interventions, comparators, outcomes, and study-level edges. 2. Build the direct and indirect comparison graph with effect-support provenance. 3. Check connectivity and transitivity assumptions across connected components. 4. Report usable components, unsupported links, and synthesis limitations. ## Output contract ```yaml produces: [evidence_graph, connected_components, transitivity_assessment, unsupported_links, synthesis_readiness] delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions] ``` ## Quality gates - Every edge points to a study record and outcome definition. - Disconnected components are not silently combined. - Transitivity judgments list the effect modifiers examined. ## Failure and counterexamples …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/construct-evidence-network@sha256:c8f036c9cd03070eThe 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_uiopxz32ryw3q3yq)
3 badge image fetches in 30 days. What the badge shows.
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 (1576 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_uiopxz32ryw3q3yq GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/construct-evidence-network GET https://markdownregistry.com/api/v1/blob/c8f036c9cd03070ecc9bd37764c468099b541e973f5be67f3de53609d452315c
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.