academic-literature-review

academic-literature-review is a skill for Codex from Charlielin-Fan/academic-research-plugin. It costs 53 tokens per session (682 once invoked), scanned A, original, MIT.

A guided workflow for finding and reviewing academic papers on a research question. It compares evidence, follows citations, and produces a review tied to retrieved sources.

In plain words
What is it for?
Use it to find papers, compare scholarly studies, trace references, and write an evidence-based literature review.
Why use it?
It helps avoid unsupported conclusions by showing which claims come from paper metadata, abstracts, or full text. It also keeps research limits and missing evidence visible.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to find papers, compare scholarly studies, trace references, and write an evidence-based literature review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/charlielin-fan/academic-research-plugin/academic-literature-review
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Charlielin-Fan/academic-research-plugin --skill academic-literature-review
Clone the repo
git clone --depth 1 https://github.com/Charlielin-Fan/academic-research-plugin

Made for: Codex.

Wrote 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.

agentmods badge for academic-literature-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/charlielin-fan/academic-research-plugin/academic-literature-review/github.svg)](https://agentmods.dev/skills/charlielin-fan/academic-research-plugin/academic-literature-review)
Your own site
<a href="https://agentmods.dev/skills/charlielin-fan/academic-research-plugin/academic-literature-review"><img src="https://agentmods.dev/badge/skills/charlielin-fan/academic-research-plugin/academic-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.

agentmods 80×15 button for academic-literature-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/charlielin-fan/academic-research-plugin/academic-literature-review"><img src="https://agentmods.dev/badge/skills/charlielin-fan/academic-research-plugin/academic-literature-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 682 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.00682
Opus 5.5 $0.00021 $0.00273
Sonnet 5.5 $0.00011 $0.00136
Haiku 4.5 $0.00005 $0.00068

Measured 2mo ago against content hash bd4aaa20e1ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

academic-literature-review scanned grade A with 0 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 2mo 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/academic-literature-review/SKILL.md · 45 lines

How it starts

The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Academic literature review

Use this skill for one scholarly-review workflow: retrieval, evidence resolution, relevant graph expansion, and evidence-grounded synthesis. The MCP server supplies live scholarly metadata and supported full text; this skill supplies the order of operations and evidence boundaries.

Required input and output

Parse the research question and every explicit constraint before calling a tool. Preserve requested scope such as date range, language, study type, population, intervention, comparator, outcome, and identifier constraints. If a required constraint is missing or ambiguous, ask a focused follow-up question before proceeding.

Return a traceable review. For each material claim, identify the stable paper identifier returned by the tools and label the evidence as one of:

  • Metadata-only
  • Abstract-supported
  • Full-text-supported
  • Non-text evidence not interpreted

Disclose provider degradation, unavailable full text, identifier conflicts, and unsupported non-text evidence in the result. Keep retrieved rank separate from analytical importance.

Mandatory workflow

Follow these steps in order.

  1. Parse the research question and explicit constraints.
  2. Call search_papers for the baseline scholarly retrieval. Do not substitute ordinary web search for this baseline.
  3. Inspect the search result’s provider-degradation information. Use provider_status only when the returned status is insufficient to explain material coverage loss, and disclose that loss.
  4. Keep each returned retrieval rank distinct from any later judgment about analytical importance.
  5. When a paper is central to a factual claim, call get_paper to resolve its identifiers and metadata.
  6. Call get_full_text when the requested analysis depends on details that metadata or an abstract cannot safely support.
  7. Call get_references or get_citations only when backward or forward chaining is relevant to the research question. Do not expand graph breadth without a research reason.
  8. Distinguish explicitly between discovered metadata, abstract evidence, parsed full-text evidence, and model synthesis.
  9. Cite claims to stable paper identifiers and state the evidence level beside the claim or in the claim’s evidence record.
  10. Report unavailable full text, provider degradation, identifier conflicts, and unsupported non-text evidence explicitly.
  11. Never fabricate a DOI, quotation, page number, sample size, effect estimate, or study result.
  12. For a requested literature review, synthesize disagreements and limitations rather than collapsing all papers into a single consensus statement.

Read the full file on GitHub · 45 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 2mo ago First seen · 45 lines · 53 tokens per session scan A bd4aaa20e1ed

Subscribe to this mod's changes

academic-literature-review is a skill published in the GitHub repository Charlielin-Fan/academic-research-plugin (2 stars, last pushed 2mo ago), licensed MIT. It adds 53 tokens to every session and 682 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

academic-literature-review compared with skills from other repositories

academic-literature-review next to 6 skills from other repositories
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