Zachariah9420

Lit Review Skill — AI skill for Claude Code

AI community

Literature-fetching & citation-auditing skill for LLM agents (Claude/Codex) — 讓 AI 引用經得起追問:找文獻、查核引用真偽與支持度、文獻支撐寫作,防幻覺引用.

How to install Lit Review Skill

This entry records only its repository, not the path inside it, so there is no exact command to give. Open Zachariah9420/lit-review-skill and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Lit Review Skill does

Literature-fetching & citation-auditing skill for LLM agents (Claude/Codex) — 讓 AI 引用經得起追問:找文獻、查核引用真偽與支持度、文獻支撐寫作,防幻覺引用。

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README

lit-review — Literature Fetching & Citation Auditing Skill for LLM Agents

**English** | [繁體中文](README.zh-TW.md)

An agent skill that turns Claude (or Codex, or any capable LLM agent) into a rigorous literature assistant. Give it your draft — it finds supporting literature, and audits every citation you already have: **does the paper exist, is the bibliography correct, and does it actually support the claim you attached it to?**

Built by a grad student finishing a thesis, battle-tested on real thesis chapters. No API keys required to start.

**Before you install: the working language is Traditional Chinese.** This README is English, but `SKILL.md` — the file the model actually follows — is mostly Chinese, and so is what you get back. `scripts/lit_api.py` returns its status fields in Chinese (`✅ 有合法免費全文`, `❓ 撤稿查詢不完整`, `查詢未完整完成…不可解讀為查無`), and the report templates are written in Chinese throughout.

What still works in English regardless: **every search is run in English** against Semantic Scholar, Crossref, arXiv and OpenAlex, and every bibliographic field comes back in the source language of the paper. So the literature layer is language-neutral; the wrapper around it is not. Claude will translate the wrapper if you ask, but nothing in the repo does that for you, and the frozen tests assert the Chinese strings.

Architecture

lit-review architecture: input → modes → engine → verification → outputs, with a self-audit loop

*(Diagram generated by `assets/gen_diagram.py`, which emits English and Chinese variants in light and dark — edit text or colors and re-run; the palette is CVD-validated. A Mermaid source lives below for quick in-browser edits.)*

Mermaid version (editable in-browser)
flowchart TB
    U["User input
draft / topic / comma