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/JeanDiable/academic-research-pluginnpx agentmods add skills/jeandiable/academic-research-plugin/literature-surveyWrote 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/jeandiable/academic-research-plugin/literature-survey)<a href="https://agentmods.dev/skills/jeandiable/academic-research-plugin/literature-survey"><img src="https://agentmods.dev/badge/skills/jeandiable/academic-research-plugin/literature-survey/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/jeandiable/academic-research-plugin/literature-survey"><img src="https://agentmods.dev/badge/skills/jeandiable/academic-research-plugin/literature-survey.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 | $0.00115 | $0.02426 |
| Opus 5 | $0.00057 | $0.01213 |
| Sonnet 5 | $0.00023 | $0.00485 |
| Haiku 4.5 | $0.00012 | $0.00243 |
Grade A, and why
literature-survey 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 297 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Literature Survey Skill
Overview
The literature-survey skill performs a comprehensive topic-driven literature survey for AI/ML research. It systematically searches multiple academic databases (arXiv, Semantic Scholar, DBLP), identifies research gaps, performs cross-domain exploration to discover transferable methods, and proposes 2-3 innovation directions with detailed feasibility assessments.
Arguments
Parse $ARGUMENTS as follows:
-
Topic (required): The first argument is the research topic string to survey. Example:
"vision transformer","graph neural networks","federated learning privacy". -
--date-range (optional): Time window for paper search. Default:
1y(1 year). Supported values:1y,2y,3y. Controls the lookback period from today. -
--max-papers (optional): Maximum number of papers to retrieve per search query. Default:
50. Useful for scoping large topics. Values:10-200. -
--venues (optional): Comma-separated list of conference/journal abbreviations to filter results. Example:
--venues NeurIPS,ICML,ICCV. If omitted, all venues are included.
Setup
This skill requires one-time dependency installation. Run:
pip install -r BASE_DIR/scripts/requirements.txt
Replace BASE_DIR with the base directory of the academic-research-plugin project (shown at the top of this skill's loaded context).
Required dependencies typically include:
requests— for HTTP queries to research databasesarxiv— Python client for arXiv APIbibtexparser— for parsing and generating BibTeXpandas— for data aggregation and analysis
Workflow
Follow these 7 steps to complete a comprehensive literature survey:
Step 1: Decompose Topic into Search Queries
Break the user's topic into 3-5 focused search queries to capture different aspects and terminology variations:
- Use synonyms and alternative phrasing
- Include sub-problems and related terms
- Target specific methodologies, applications, and theoretical angles
What ships with it
3 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.
- 12d ago First seen · 297 lines · 115 tokens per session scan A 40cb4e75f17a
literature-survey is a skill published in the GitHub repository JeanDiable/academic-research-plugin (22 stars, last pushed 5mo ago), licensed MIT. It adds 115 tokens to every session and 2,426 once invoked, about $0.0006 per session on Opus 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 2026-08-30.
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