journal-meta SKILL.md skillA

journal-meta from agents365-ai/365-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add agents365-ai/365-skills/journal-meta@v0.1.0

Pins v0.1.0 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/journal-meta/skills/journal-meta/SKILL.md
Versions recorded
2
Latest version
v0.1.0, committed Sep 14, 2026
First version recorded
Sep 9, 2026
Size
6,364 bytes
Repository stars
100
License
none declared

Use when the user wants full metadata for a paper — from a DOI, PMID, arXiv id, OpenAlex id, or title. Returns title, author list, first author, corresponding author(s), publication date, journal name + ISO-4 abbreviation, impact factor, volume/issue/pages, DOI/PMID, citation count, and abstract in one record. Triggers on "paper metadata", "who is the corresponding author", "first author of", "what journal / impact factor for this DOI/PMID", "cite this paper", "文献元数据", "通讯作者", "第一作者", "影响因子".…

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

# Paper Metadata Lookup

Resolve one paper identifier into a full metadata record. Primary source is
**OpenAlex** (free, no API key); **Crossref** is a fallback for DOIs OpenAlex
hasn't indexed. The journal name is enriched by delegating to two sibling
skills when installed:

- **`journal-abbrev`** → ISO-4 / MEDLINE journal abbreviation (JabRef cache, ~25K journals)
- **`journal-if`** → curated JCR impact factor

If those skills aren't found, it falls back to AbbrevISO (abbreviation) and
OpenAlex `2yr_mean_citedness` (approximate IF) automatically.

**Critical rule:** Always use `journal_meta.py`. Never fabricate authors,
corresponding authors, dates, or impact factors — resolve them.

## Quick Reference

| User wants... | Command |
| --------------- | --------- |
| Metadata from a DOI | `python3 journal_meta.py "10.1038/s41586-020-2649-2"` |
| Metadata from a PMID | `python3 journal_meta.py 32939066` |
| Metadata from an arXiv id | `python3 journal_meta.py 1706.03762` |
| Metadata from a title | `python3 journal_meta.py "Attention is all you need"` |
| Process a list | `python3 journal_meta.py batch papers.txt` |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add agents365-ai/365-skills/journal-meta@sha256:3b3782db0ece96fd

The line at the top of this page pins the label v0.1.0, 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_jgvaxcez5rr4h7lz.svg)](https://markdownregistry.com/a/art_jgvaxcez5rr4h7lz)

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

Versions

The registry has recorded 2 versions of this file, between Sep 9, 2026 and Sep 14, 2026, about one every 5 days.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-09-14 72ee04b 6,364 BA view · diff
v0.1.02026-09-09 9017519 6,370 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 (6364 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

agents365-ai/365-skills · 100 stars · license none declared · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_jgvaxcez5rr4h7lz
GET https://markdownregistry.com/api/v1/resolve?ref=agents365-ai/365-skills/journal-meta
GET https://markdownregistry.com/api/v1/blob/3b3782db0ece96fd8103149c3583289bcd5bf443410860c9d1505b6dd4503e5e

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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