What is academic-search?

A research search guide for finding academic papers through Semantic Scholar, a search service for scholarly literature, and summarising their authors, citations, and related work.

Finding papers, comparing research areas, checking paper or author details, and preparing literature summaries.

It helps developers gather source-backed research without manually searching many papers or relying on unsupported claims.

academic-search — Skill for Codex by yellowbee686

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 yellowbee686/everything-analysis-agent --skill academic-search

Clone the repo

git clone --depth 1 https://github.com/yellowbee686/everything-analysis-agent

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/yellowbee686/everything-analysis-agent/academic-search/github.svg)](https://agentmods.dev/skills/yellowbee686/everything-analysis-agent/academic-search)

Your own site

<a href="https://agentmods.dev/skills/yellowbee686/everything-analysis-agent/academic-search"><img src="https://agentmods.dev/badge/skills/yellowbee686/everything-analysis-agent/academic-search/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/yellowbee686/everything-analysis-agent/academic-search"><img src="https://agentmods.dev/badge/skills/yellowbee686/everything-analysis-agent/academic-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 499 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.

Model	Per session	Once invoked
Fable 5.1	$0.00059	$0.00499
Opus 5.5	$0.00024	$0.00200
Sonnet 5.5	$0.00012	$0.00100
Haiku 4.5	$0.00006	$0.00050

Measured 2mo ago against content hash 2ab4a4cb45db, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

academic-search 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/semantic_scholar.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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-search/SKILL.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Academic Search

Overview

Use Semantic Scholar as the default live academic search source. Prefer the bundled scripts/semantic_scholar.py CLI for deterministic JSON retrieval, then synthesize results in the user's requested language.

Workflow

Clarify the research target only when the query is underspecified. Otherwise search directly.
Run scripts/semantic_scholar.py search-papers "<query>" --limit <n> with focused fields.
Inspect titles, abstracts, venue, year, citation count, influential citation count, authors, and open-access URLs.
Fetch paper details for high-value candidates with get-paper when abstracts, references, citations, or external IDs are needed.
Fetch author details with get-author only when the user asks about a person, publication record, or author disambiguation.
Summarize with explicit uncertainty. Do not invent claims beyond returned metadata.

Commands

On Windows, follow the current agent environment. Use WSL2 if the agent is already in WSL2; otherwise native Windows Python is fine for this skill.

Search papers:

python3 skills/academic-search/scripts/semantic_scholar.py search-papers "retrieval augmented generation" --limit 10

Get paper details:

python3 skills/academic-search/scripts/semantic_scholar.py get-paper CorpusID:208324896

Get author information:

python3 skills/academic-search/scripts/semantic_scholar.py get-author 1741102

References

Read references/query-workflows.md for field presets, filtering, deduplication, and synthesis guidance.
Use SEMANTIC_SCHOLAR_API_KEY when available. The script also works without it, subject to public rate limits.

Output Rules

Cite paper titles, years, venues, and paper IDs or URLs when available.
Separate search results from interpretation.
Mention API or rate-limit failures plainly and include the failed command when useful.
Prefer compact tables for paper comparisons and concise bullets for literature summaries.

Read the full file on GitHub · 54 lines

Files

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.

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.

2mo ago First seen · 54 lines · 59 tokens per session scan A 2ab4a4cb45db

Subscribe to this mod's changes

academic-search is a skill published in the GitHub repository yellowbee686/everything-analysis-agent (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 59 tokens to every session and 499 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.

academic-search next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
academic-searchyellowbee686/everything-analysis-agent	Skill	2	6mo ago	Apache-2.0	A	59	Codex
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	yesterday	MIT	A	200	Claude Code, Codex
playwright-climicrosoft/playwright	Skill	100k	yesterday	Apache-2.0	A	19	Claude Code
browser-automationopenclaw/openclaw	Skill	394k	today	MIT	A	36	Claude Code
systematic-debuggingobra/superpowers	Skill	314k	4d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code