disease-research SKILL.md skillA
disease-research from ammawla/encode-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ammawla/encode-toolkit/disease-research@git:20260921.4ba10c6Pins git:20260921.4ba10c6 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ammawla/encode-toolkit
- Path
plugin/skills/disease-research/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260921.4ba10c6, committed Sep 21, 2026
- First version recorded
- Mar 12, 2026
- Size
- 24,679 bytes
- Repository stars
- 21
- License
- AGPL-3.0
Use ENCODE functional genomics data for disease mechanism research. Use when the user wants to connect GWAS variants to regulatory elements, annotate disease-associated loci with functional data, identify therapeutic targets from epigenomic data, build disease regulatory models, cross-reference with clinical trials and drug databases, or conduct any disease-focused, pathology-driven, or clinical variant interpretation workflow. Covers the full pipeline from disease-tissue mapping through GWAS…
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
# Disease Research with ENCODE Functional Genomics ## When to Use - User wants to connect GWAS variants to ENCODE regulatory elements for disease mechanism research - User asks about "disease", "pathology", "therapeutic targets", "GWAS interpretation", or "clinical variants" - User needs to annotate disease-associated loci with functional genomics data from ENCODE - User wants to identify drug targets from epigenomic evidence using Open Targets integration - Example queries: "find enhancers disrupted by diabetes GWAS hits", "identify drug targets from ChIP-seq data", "connect my disease variants to regulatory elements" Leverage ENCODE's 926,535 cCREs and multi-layer functional data to understand disease mechanisms, interpret disease-associated variants, identify therapeutic targets, and connect genomic findings to clinical applications. ## Scientific Rationale **The question**: "How can ENCODE functional genomics help me understand a disease's molecular mechanisms and identify actionable targets?" …
Read the whole file at its exact version.
How to install
mdr add ammawla/encode-toolkit/disease-research@sha256:44237c33b54fb447The line at the top of this page pins the label git:20260921.4ba10c6, 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_f3gptd72hnvvjyst)
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Versions
The registry has recorded 5 versions of this file, between Mar 12, 2026 and Sep 21, 2026, about one every 48 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260921.4ba10c6 latest | 2026-09-21 | 4ba10c6 | 24,679 B | A | view · diff |
| git:20260920.6050003 | 2026-09-20 | 6050003 | 24,667 B | A | view · diff |
| git:20260920.ce7840d | 2026-09-20 | ce7840d | 24,182 B | A | view · diff |
| git:20260321.5cfbcfd | 2026-03-21 | 5cfbcfd | 24,236 B | A | view · diff |
| git:20260312.665e731 | 2026-03-12 | 665e731 | 24,230 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 (24679 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
ammawla/encode-toolkit · 21 stars · license AGPL-3.0 · pushed 2026-09-27 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_f3gptd72hnvvjyst GET https://markdownregistry.com/api/v1/resolve?ref=ammawla/encode-toolkit/disease-research GET https://markdownregistry.com/api/v1/blob/44237c33b54fb44796b0bcc2150a82a812ff040964c7011c3fcec3b5df888cd8
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.
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