Use when designing, reviewing, or refactoring a CLI that must serve AI agents alongside humans, or when converting an API or SDK into an agent-usable CLI interface.
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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". PROACTIVELY USE when the user pastes a DOI/PMID/arXiv id or paper title and asks about its authors, venue, or impact.
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실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
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 factorIf 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.
| 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 |
| Skip impact-factor lookup | python3 journal_meta.py <id> --no-if |
| Skip abbreviation lookup | python3 journal_meta.py <id> --no-abbrev |
| Machine-readable contract | python3 journal_meta.py schema |
The subcommand lookup is optional — a bare identifier works. Identifier type
(DOI / PMID / arXiv / OpenAlex id / title) is auto-detected.
Stdout is a stable JSON envelope when piped/captured, and a human key-value
view on a TTY. Force it with --format json|human|auto (--json = --format json).
Envelope: { "ok": true, "data": {...}, "meta": { "schema_version", "cli_version", "sources", "latency_ms" } }.
meta.sources records where each field came from (e.g. journal-abbrev (JabRef),
journal-if (local cache), or a fallback), so you can tell curated data from approximations.
data)title, authors (list), author_count, first_author, corresponding_authors
(list; empty if OpenAlex has no corresponding flag for the record),
publication_date, year, journal, journal_abbrev, impact_factor,
impact_factor_source, impact_factor_year, volume, issue, pages,
doi, pmid, openalex, issn, type, is_oa, cited_by_count, abstract.
| Code | Meaning |
|---|---|
0 | success |
1 | runtime / upstream error (retryable) |
2 | validation / bad input (missing file, empty query) |
3 | not found (no paper matched) |
10.x/...), PMID (digits), arXiv id
(NNNN.NNNNN), OpenAlex id (W...), or a title string — all auto-detected.
Prefer a DOI or PMID: title search returns OpenAlex's single top match,
which for very common titles can be a preprint or re-indexed copy rather than
the version of record. Confirm the returned DOI/year if the user gave a title.python3 journal_meta.py <id>.first_author, journal_abbrev, year, volume, issue, pages, doi.
State the impact_factor_source when reporting IF — a curated JCR number and
an OpenAlex approximation are not the same thing.is_corresponding flag, which
is only populated when the publisher supplied it. An empty list means "not
marked in the metadata," not "there is none" — say so rather than guessing.journal-if is curated JCR; the fallback is OpenAlex's
2-year mean citedness, which differs from the official JCR IF. Cite formally
only the curated value, and flag approximations.10.48550/arXiv.<id>); if a
preprint isn't indexed there, it falls back to a title search.| Variable | Effect |
|---|---|
JOURNAL_META_MAILTO / OPENALEX_MAILTO | Email for OpenAlex's polite pool (faster, recommended). |
JOURNAL_ABBREV_CLI | Explicit path to journal-abbrev's jabbrv.py (skips auto-discovery). |
JOURNAL_IF_CLI | Explicit path to journal-if's journal_if.py. |
If the sibling skills live in a non-standard location, set these so enrichment uses their curated data instead of the built-in fallbacks.
| Issue | Solution |
|---|---|
| IF shows "OpenAlex ... (approx)" not JCR | journal-if not found — install it or set JOURNAL_IF_CLI. |
| Abbreviation looks wrong / same as full name | Single-word titles (Nature, Cell, Science) are not abbreviated per ISO 4. For others, journal-abbrev gives the ISO-4 form. |
| Title search returned the wrong paper | Use the DOI or PMID instead — title search takes OpenAlex's top hit only. |
not_found on a brand-new DOI | OpenAlex indexing lags; the Crossref fallback covers most, but the newest DOIs may need a day. |
corresponding_authors is empty | The publisher didn't mark it in the metadata; don't infer one. |
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Use when designing, reviewing, or refactoring a CLI that must serve AI agents alongside humans, or when converting an API or SDK into an agent-usable CLI interface.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Search free commercial-use creative assets across multiple online sources — photos, illustrations, icons, video footage, music, sound effects, and fonts. Use when the user needs to find assets for videos, PPTs, articles, or any content creation. Trigger on phrases like "find me a photo of", "search for icons", "I need background music", "find video footage", "search fonts", "找一张图片", "搜素材", "帮我找图标/视频/音乐/字体". Covers Pexels, Unsplash, Pixabay, Iconify, Freesound, Google Fonts and more — with API-backed search where available.
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Query the Semantic Scholar academic corpus through AI2's Asta MCP server: keyword or title search with venue and date filters, who-cited-a-paper traversal, author profiles and publications, DOI/arXiv/PMID lookup, and ~500-word full-text snippets for evidence, with citation counts and h-index. Use when the user asks for papers on a topic, who cited a paper, an author's work, recent literature since a date, or a venue-scoped paper list. Requires the Asta MCP server.
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Extract and organize frames from a Bilibili video (bangumi episode, UP upload, or a local file) into scenery shots and per-character image groups, using anime-specific person detection + CCIP character-identity embeddings. Two modes — cluster everyone, or pull out one (or several) named characters via reference folders. Use when the user wants to collect, extract, or organize anime frames/screenshots by character or by scenery from a Bilibili video. Read-only download for personal viewing/analysis; uploads nothing.
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Fetch Bilibili (哔哩哔哩) video comments for UP主 self-analysis. Use when the user asks to collect, download, export, or analyze comments on a Bilibili video (BV号 / URL / UID). Produces JSONL + summary.json suitable for further Claude Code analysis (sentiment, keywords, audience trends). Read-only; does not post/edit/delete.
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Use when user requests diagrams, flowcharts, architecture charts, or visualizations. Also use proactively when explaining systems with 3+ components, complex data flows, or relationships that benefit from visual representation. Generates .excalidraw files and exports to PNG/SVG via Kroki API or locally using excalidraw-brute-export-cli.
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