zLanqing/codex-claude-academic-skills is a collection of three skills for academic writing, editable Word and PowerPoint documents, and scientific computing with MATLAB and Python. Chinese-speaking researchers use it for literature reports, papers, presentations, data analysis, simulations, and publication figures in Claude Code or Codex. The catalogue contains the project's academic workflow skills.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/zLanqing/codex-claude-academic-skillsnpx agentmods add skills/zlanqing/codex-claude-academic-skills/literature-reviewWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zlanqing/codex-claude-academic-skills/literature-review)<a href="https://agentmods.dev/skills/zlanqing/codex-claude-academic-skills/literature-review"><img src="https://agentmods.dev/badge/skills/zlanqing/codex-claude-academic-skills/literature-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zlanqing/codex-claude-academic-skills/literature-review"><img src="https://agentmods.dev/badge/skills/zlanqing/codex-claude-academic-skills/literature-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00086 | $0.06566 |
| Opus 5 | $0.00043 | $0.03283 |
| Sonnet 5 | $0.00017 | $0.01313 |
| Haiku 4.5 | $0.00009 | $0.00657 |
Grade C, and why
literature-review scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://parallel.ai/install.sh | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://parallel.ai/install.sh | bash Copies of this mod
8 near-identical copies found in the catalogue:
- literature-review — 100% identical, 6 lines differ
- literature-review — 100% identical, 2 lines differ
- literature-review — 98% identical, 2 lines differ
- literature-review — 97% identical, 3 lines differ
- literature-review — 94% identical, 15 lines differ
- literature-review — 94% identical, 15 lines differ
- literature-review — 94% identical, 15 lines differ
- literature-review — 86% identical, 107 lines differ
How it starts
The opening of the file, as written. The whole thing — 700 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Literature Review
Overview
Conduct systematic, comprehensive literature reviews following rigorous academic methodology. Search multiple literature databases, synthesize findings thematically, verify all citations for accuracy, and generate professional output documents in markdown and PDF formats.
This skill uses the parallel-web skill (parallel-cli search) as the primary web search tool for broad academic literature discovery, supplemented by specialized database access skills (gget, bioservices, datacommons-client). It provides specialized tools for citation verification, result aggregation, and document generation.
When to Use This Skill
Use this skill when:
- Conducting a systematic literature review for research or publication
- Synthesizing current knowledge on a specific topic across multiple sources
- Performing meta-analysis or scoping reviews
- Writing the literature review section of a research paper or thesis
- Investigating the state of the art in a research domain
- Identifying research gaps and future directions
- Requiring verified citations and professional formatting
Visual Enhancement with Scientific Schematics
⚠️ MANDATORY: Every literature review MUST include at least 1-2 AI-generated figures using the scientific-schematics skill.
This is not optional. Literature reviews without visual elements are incomplete. Before finalizing any document:
- Generate at minimum ONE schematic or diagram (e.g., PRISMA flow diagram for systematic reviews)
- Prefer 2-3 figures for comprehensive reviews (search strategy flowchart, thematic synthesis diagram, conceptual framework)
How to generate figures:
- Use the scientific-schematics skill to generate AI-powered publication-quality diagrams
- Simply describe your desired diagram in natural language
- Nano Banana Pro will automatically generate, review, and refine the schematic
How to generate schematics:
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 700 lines · 86 tokens per session scan C 85b353da774b
literature-review is a skill published in the GitHub repository zLanqing/codex-claude-academic-skills (3,770 stars, last pushed 4mo ago), licensed MIT. It adds 86 tokens to every session and 6,566 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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