target-prioritization SKILL.md skillA
target-prioritization from agents365-ai/365-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add agents365-ai/365-skills/target-prioritization@git:20260904.f37f318Pins git:20260904.f37f318 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- agents365-ai/365-skills
- Path
plugins/target-prioritization/skills/target-prioritization/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260904.f37f318, committed Sep 4, 2026
- First version recorded
- May 19, 2026
- Size
- 10,894 bytes
- Repository stars
- 100
- License
- none declared
Prioritize drug targets from a ranked gene list (e.g., scRNA-seq DE output) by orchestrating parallel API queries against UniProt, OpenTargets (with integrated DepMap CRISPR essentiality + gnomAD constraint), PubMed, the Human Protein Atlas (HPA), and ChEMBL tool compounds, then re-ranking by a composite score combining protein localization, druggability, disease genetics, tissue specificity (safety), focus-cell-type expression, CRISPR essentiality, LoF safety constraint, and research maturity.
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
# Target Prioritization A multi-source drug-target due-diligence pipeline for ranked gene lists. ## When this skill triggers The user has a list of candidate genes (typically from a DE / DEG / scRNA-seq analysis) and wants a per-gene dossier across multiple evidence dimensions plus a composite re-ranking. The DE statistical rank is just the entry point; the final priority is informed by protein biology, genetics, druggability, and research maturity. Common input shapes: - A CSV with a `gene` column (DE output like `expression_table_pass_either_1s.csv`) - A plain-text gene list (one symbol per line) - A list of symbols inline in the user's message ## Output Four files inside `<output_dir>/`: 1. **`targets_report.md`** — one section per gene, sorted by composite score, with a short LLM-written rationale and recommended next step 2. **`targets_report.html`** — self-contained interactive report (sortable + searchable summary table, tier-filterable per-gene cards, score-component bars, UniProt links). Built from the `.md` and `.csv` as the final step, after Claude has filled the rationale slots and executive summary. …
Read the whole file at its exact version.
How to install
mdr add agents365-ai/365-skills/target-prioritization@sha256:a49ceee84f5ad507The line at the top of this page pins the label git:20260904.f37f318, 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_vatigt6kxvltdosg)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between May 19, 2026 and Sep 4, 2026, about one every 27 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260904.f37f318 latest | 2026-09-04 | f37f318 | 10,894 B | A | view · diff |
| git:20260520.c87adb4 | 2026-05-20 | c87adb4 | 9,287 B | A | view · diff |
| git:20260520.954ae40 | 2026-05-20 | 954ae40 | 8,049 B | A | view · diff |
| git:20260520.59814e1 | 2026-05-20 | 59814e1 | 7,178 B | A | view · diff |
| git:20260519.9983505 | 2026-05-19 | 9983505 | 7,744 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 (10894 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
agents365-ai/365-skills · 100 stars · license none declared · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vatigt6kxvltdosg GET https://markdownregistry.com/api/v1/resolve?ref=agents365-ai/365-skills/target-prioritization GET https://markdownregistry.com/api/v1/blob/a49ceee84f5ad5072eaaa21b914d908a0ee217476f6f383ce4c958e937f0b9da
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.