Automate daily literature discovery across multiple academic sources. Score and select relevant papers, read abstracts or full texts, deliver structured digests through messaging platforms, and archive classified notes while removing duplicate records.
Complete automated literature discovery pipeline: multi-source search → six-dimension scoring → fine reading → formatted delivery → archival. Combines a configurable engine with daily cron-driven application layer. Works with Feishu, Telegram, or any messaging platform.
Run score Not tested
See how to installAutomates a recurring workflow for finding, scoring, reading, summarizing, and archiving research papers. It searches arXiv, OpenAlex, Crossref, and Semantic Scholar, then scores candidates on six dimensions, including topic fit, methods, and applied value. It reads the top papers at the available level, which may be full text, abstract only, or metadata only, and labels that level in the digest. Summaries include methods and key results. When archiving, it removes duplicates using identifiers such as DOI, classifies papers, creates literature notes, and updates an index.
Use it to follow research developments daily or build an ongoing collection of papers for a field. You can adjust keywords, scoring weights, classification rules, delivery destination, and archive location.
Daily runs require a cron schedule. Hermes cron runs locally, so the machine must be on when the job runs. The daily workflow writes to raw/; it asks for user approval before changing a wiki or knowledge base. The skill is licensed under MIT.
This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.
AI checked the SKILL.md for operations that need care and for setup requirements. The score comes only from actually running the skill (hands-on test).
Not counted in the score. Rated by AI (OpenAI Codex) as of Oct 24, 2026. Treat it as a guide and read the original before installing.
Review the instructions the agent will receive before you install.
A complete, production-tested automated literature pipeline. Not just "search for papers" — it's a structured engine that scores, classifies, reads, delivers, and archives research papers daily.
Cron (daily trigger, e.g. 08:30)
│
├─ ① SEARCH (30 candidates)
│ arXiv / OpenAlex / Crossref / Semantic Scholar (auto-degradation)
│
├─ ② COARSE FILTER (30 → 5)
│ Six-dimension scoring: topic match × 35 + methodology × 20
│ + journal quality × 15 + network relevance × 10
│ + applied value × 10 + archival value × 10
│
├─ ③ FINE READ (top 5)
│ Abstract-level or full-text. Source level tagged:
│ Full-text / Abstract only / Metadata only
│
├─ ④ DELIVER
│ Formatted digest to Feishu/Telegram/etc.
│ 🏅 rank | title | journal | ⭐ score | 💡 one-liner
│ 🔬 methods | 📊 key results | 🧭 commentary
│
└─ ⑤ ARCHIVE
DOI/arXiv de-dup → classify → write notes → update index
After installing, tell your agent:
My research area is [X], keywords: [Y], deliver to [feishu group name], archive to [path]
The agent will configure keywords, delivery target, and archive path automatically.
Then set up a daily cron job:
Set up a daily literature push at 08:30 Beijing time, 30 candidates, top 5 delivered
The skill is organized in two layers:
| Layer | Purpose | Files |
|---|---|---|
| Engine | Scoring, classification, note templates, gap analysis | references/scoring-system.md, references/gap-analysis.md, references/note-template.md |
| Application | Daily cron pipeline, delivery formatting, archival workflow | references/push-format.md, references/cron-setup.md, references/review-compilation-workflow.md |
All domain-specific content is configurable:
A config template is provided in templates/literature-push-template.md.
raw/ literature directory only; never modifies wiki/knowledge base without user approvalnature-academic-search — ad-hoc literature search (complementary; this skill adds structured daily automation)nature-citation — CNS citation export (for importing pipeline discoveries into manuscripts)zotero — library management (for long-term organization of pipeline outputs)arxiv — arXiv API (used as a search source)| Reference | Purpose |
|---|---|
references/scoring-system.md | Six-dimension scoring rubric with weights, caps, and evaluation logic |
references/gap-analysis.md | Methodology for identifying research gaps through systematic literature survey |
references/note-template.md | Standardized literature note format with YAML frontmatter |
references/push-format.md | Daily digest message template with field guidelines and example |
references/cron-setup.md | Cron job creation, verification, and manual fallback procedures |
references/review-compilation-workflow.md | End-to-end workflow for concentrated literature review writing |
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Search academic literature across sources, verify references, and convert citation files. Build PubMed queries using MeSH, its subject vocabulary, or audit citations to distinguish independent citations and document who cited a paper and how.
Find papers from Nature or a specified Cell, Nature, and Science journal group to support manuscript claims. Check abstracts or publisher pages, map sources to individual claims, and export verified reference details for reference managers.
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