jaspar-motifs SKILL.md skillA

jaspar-motifs from ammawla/encode-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add ammawla/encode-toolkit/jaspar-motifs@git:20260920.6050003

Pins git:20260920.6050003 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
ammawla/encode-toolkit
Path
skills/jaspar-motifs/SKILL.md
Versions recorded
4
Latest version
git:20260920.6050003, committed Sep 20, 2026
First version recorded
Mar 8, 2026
Size
23,863 bytes
Repository stars
21
License
AGPL-3.0

Guide for using JASPAR transcription factor binding profiles with ENCODE ChIP-seq data. Use when users need to find TF binding motifs in ENCODE peaks, validate ChIP-seq targets with known motifs, or scan regulatory regions for TF binding potential. Trigger on: JASPAR, motif database, binding profile, PWM, position weight matrix, TF motif, motif enrichment, motif scanning, binding site prediction.

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

# Using JASPAR Transcription Factor Binding Profiles with ENCODE ChIP-seq Data

Integrate JASPAR position weight matrices (PWMs) with ENCODE ChIP-seq peaks to validate TF binding targets, discover co-binding partners, and scan regulatory elements for TF binding potential.

## Scientific Rationale

**The question**: "Does the expected TF binding motif appear in my ENCODE ChIP-seq peaks, and what other TF motifs are enriched?"

ENCODE TF ChIP-seq experiments identify where a transcription factor binds in the genome, but the peak coordinates alone do not confirm direct DNA binding or reveal the binding sequence specificity. JASPAR provides curated position weight matrices (PWMs) — mathematical representations of TF binding preferences — that enable two critical analyses:

1. **Target validation**: If CTCF ChIP-seq peaks are enriched for the CTCF motif (JASPAR MA0139.1), the experiment worked correctly. If they are NOT enriched, something may be wrong with the antibody, crosslinking, or peak calling.

2. **Co-factor discovery**: Motif enrichment analysis in ChIP-seq peaks often reveals motifs for co-binding TFs that were not the ChIP target, uncovering regulatory complexes.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ammawla/encode-toolkit/jaspar-motifs@sha256:e7a4119247decaf4

The line at the top of this page pins the label git:20260920.6050003, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_su6w5uakgjwocxjw.svg)](https://markdownregistry.com/a/art_su6w5uakgjwocxjw)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Mar 8, 2026 and Sep 20, 2026, about one every 65 days.

versioncommittedcommitsizeaudit
git:20260920.6050003 latest2026-09-20 6050003 23,863 BA view · diff
git:20260920.992a8072026-09-20 992a807 22,621 BA view · diff
git:20260312.be327062026-03-12 be32706 22,640 BA view · diff
git:20260308.ca46af52026-03-08 ca46af5 22,651 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (23863 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

GitHub

ammawla/encode-toolkit · 21 stars · license AGPL-3.0 · pushed 2026-09-27 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_su6w5uakgjwocxjw
GET https://markdownregistry.com/api/v1/resolve?ref=ammawla/encode-toolkit/jaspar-motifs
GET https://markdownregistry.com/api/v1/blob/e7a4119247decaf478f65fc35d3466b5a54be414fad9c2bc26433ecdead17d92

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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jaspar-motifs SKILL.md skill
ammawla/encode-toolkit · plugin/skills/jaspar-motifs/SKILL.md · Guide for using JASPAR transcription factor binding profiles with ENCODE ChIP-seq data. Use when users need to find TF…
git:20260920.6050003 · audit A · 21 stars

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