glycoengineering SKILL.md skillA
glycoengineering from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/glycoengineering@v1.4Pins v1.4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/glycoengineering/SKILL.md- Versions recorded
- 7
- Latest version
- v1.4, committed Oct 1, 2026
- First version recorded
- Jun 11, 2026
- Size
- 11,942 bytes
- Repository stars
- 56,497
- License
- MIT
Analyzes and engineers protein glycosylation by scanning canonical N-glycosylation sequons, describing S/T-rich regions, checking curated glycan evidence, and preparing NetNGlyc, NetOGlyc and GlycoSHIELD workflows. Use for glycoprotein engineering, antibody Fc glycosylation, glycan shielding, and site-specific glycoproteomics interpretation.
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
# Glycoengineering ## When to use Use for canonical N-glycosylation candidate analysis, O-GalNAc candidate triage, antibody glycoform comparison, or structural glycan shielding. Keep four kinds of result separate: sequence motif, prediction, experimentally supported occupancy, and glycan structure/composition. None alone establishes all the others. This workflow focuses on eukaryotic secretory-pathway N-glycosylation and mucin-type O-GalNAc. O-GlcNAc, O-mannose, O-fucose and other O-linked modifications require appropriate evidence and predictors; S/T enrichment does not identify the type. ## Workflow 1. Record the protein accession, isoform/version, exact sequence, expression host, signal peptide/transmembrane topology and construct boundaries. Preserve a mapping from submitted sequence coordinates to mature protein, PDB chain/residue identifiers and antibody numbering where relevant. 2. Scan canonical N-X-[S/T] candidates with X not Pro. Retain overlaps: `NNST` has candidates starting at 1 and 2. A missing canonical motif does not rule out unusual N-glycosylation; a present motif does not establish occupancy. …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/glycoengineering@sha256:b529bde5367cd841The line at the top of this page pins the label v1.4, 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_xk3ke64cba5k7hjw)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between Jun 11, 2026 and Oct 1, 2026, about one every 19 days. Its first recorded version is graded B and its latest A.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.4 latest | 2026-10-01 | a92663a | 11,942 B | A | view · diff |
| v1.3 | 2026-09-30 | ce9e6e9 | 14,122 B | B | view · diff |
| v1.2 | 2026-09-11 | 30e0910 | 13,810 B | B | view · diff |
| v1.1 | 2026-07-31 | 4226ca8 | 12,480 B | B | view · diff |
| v1.0 | 2026-07-31 | bd99c01 | 12,480 B | B | view · diff |
| v1.0 | 2026-07-26 | b085e11 | 12,477 B | B | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 12,482 B | B | 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 (11942 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
k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_xk3ke64cba5k7hjw GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/glycoengineering GET https://markdownregistry.com/api/v1/blob/b529bde5367cd84175f07db473361c9713a69af8f641cd740a10c0b660b32bc7
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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