paper-research

paper-research is a skill for Claude Code from parkjui92/socsci-paper-kit. It costs 139 tokens per session (1,371 once invoked), scanned A, original, MIT.

An evidence-gathering guide for social-science research. It finds prior studies, academic theories, official statistics, and relevant cases, while recording sources for claims.

In plain words
What is it for?
Use it to plan literature reviews, search academic databases, assess source reliability, and collect citations for a paper’s background or evidence.
Why use it?
It reduces unsupported statements and makes the research process easier to check and repeat.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the socsci-paper-kit plugin — 7 skills, 6 agents shipped together

Good fit Use it to plan literature reviews, search academic databases, assess source reliability, and collect citations for a paper’s background or evidence.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/parkjui92/socsci-paper-kit/paper-research
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 parkjui92/socsci-paper-kit --skill paper-research
Clone the repo
git clone --depth 1 https://github.com/parkjui92/socsci-paper-kit

Made for: Claude Code.

Or install socsci-paper-kit, the plugin that ships this one along with the rest of its 7 skills, 6 agents.

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 paper-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/parkjui92/socsci-paper-kit/paper-research/github.svg)](https://agentmods.dev/skills/parkjui92/socsci-paper-kit/paper-research)
Your own site
<a href="https://agentmods.dev/skills/parkjui92/socsci-paper-kit/paper-research"><img src="https://agentmods.dev/badge/skills/parkjui92/socsci-paper-kit/paper-research/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 paper-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/parkjui92/socsci-paper-kit/paper-research"><img src="https://agentmods.dev/badge/skills/parkjui92/socsci-paper-kit/paper-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 139 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,371 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 $0.00139 $0.01371
Opus 5 $0.00069 $0.00685
Sonnet 5 $0.00028 $0.00274
Haiku 4.5 $0.00014 $0.00137

Measured 9d ago against content hash a5141a636413, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

paper-research 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/geo_search.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/paper-research/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

사회과학 논문 근거조사

집필자가 쓸 모든 주장에 출처를 붙일 수 있도록 학술 근거를 조사한다. 산출물은 _workspace/03_literature.md. 핵심 원칙은 출처 없는 사실은 쓰지 않는다.

체계적 문헌 검색 (SLR)

  1. 검색원 선정 — Google Scholar, KCI, RISS, DBpia, Semantic Scholar, JSTOR, Web of Science 등. 한국 주제는 KCI·RISS·DBpia, 국제 비교는 영문 DB를 함께.
  2. 검색어 설계 — RQ의 핵심 개념을 키워드로 분해하고, 동의어·영문 대응어를 조합한다(AND/OR).
  3. 포함·배제 기준 — 연도·언어·동료심사 여부·관련성으로 거른다.
  4. 검색 기록(재현성) — "어떤 DB에서 어떤 검색어로 몇 건 중 몇 건 선정"을 기록한다.

해외 문헌·사례는 지역·언어 현지화

영문·해외 문헌과 국제 비교 사례는 대상국 언어로 검색한다. 학술 DB(Scholar·JSTOR·Web of Science 등)는 그대로 쓰되, 일반 웹에서 현지 로케일 검색이 필요하면 geo-search 래퍼: 이 스킬에 내장된 래퍼 python3 <이 스킬 디렉토리>/scripts/geo_search.py -c us "English query" (프리셋: us jp kr gb de fr cn tw sg). 기본 WebSearch는 US 고정임에 유의. 키(SERPER_API_KEY/SERPAPI_KEY) 미설정 시 WebSearch 영문 쿼리로 폴백. 상세: 이 스킬의 scripts/geo-search-README.md.

출처 등급 (Tier)

Tier 유형 신뢰도
1 동료심사 학술지 논문, 1차 데이터·정부 공식 통계 최상
2 학술 단행본, 학위논문, 국제기구 보고서
3 정부·공공기관 보고서, 워킹페이퍼 중상
4 전문 언론·기관 발표
5 블로그·위키·생성형 AI 요약 낮음(인용 회피, 1차 출처로 추적)

약탈적(predatory) 저널·미검증 출처를 경계하고, 의심 출처는 등급과 함께 플래그한다.

분석카드 스키마

핵심 선행연구마다 카드를 만든다:

- 저자(연도): 제목 / 출처
- 이론틀: ...
- 방법: (양적/질적/혼합, 표본·자료)
- 핵심 발견: ...
- 한계: ...
- 본 연구와의 관련: (지지/반박/공백)
- 인용 가능 구절·수치: (페이지 포함)

주제 × 방법 매트릭스

선행연구를 주제(행)와 방법/이론(열)으로 배열해, 연구 흐름과 빈칸(공백)을 한눈에 보이게 한다.

이론·개념 출처

설계자가 택한 이론틀의 원전·핵심 학자·후속 논의를 찾는다. 재인용이 아닌 1차 출처를 우선하고, 개념의 조작적 정의에 쓸 인용 구절을 확보한다.

통계·2차 자료

정부 통계·공식 지표·기존 데이터셋을 **출처 정보(기관·조사명·연도·표본·접근 URL)**와 함께 확보한다. 수치는 반드시 원 출처를 확인하고, 인용 시 연도·단위·정의를 함께 적는다.

갭분석

선행연구가 답하지 못한 지점을 짚고, **본 연구의 기여(contribution)**가 놓일 자리를 한 문단으로 진술한다(이론적 공백 / 방법적 공백 / 맥락적 공백).

참고문헌 (APA7)

확보한 출처를 APA7 형식으로 정리한다. 본문 인용과 1:1 대응이 가능하도록 저자·연도·제목·출처·DOI/URL을 빠짐없이 적는다.

출력 구조 (03_literature.md)

  1. 검색 기록 (DB·검색어·선정 건수)
  2. 선행연구 종합 (분석카드 + 주제×방법 매트릭스)
  3. 이론·개념 출처
  4. 통계·2차 자료 (출처 정보 포함)
  5. 국내외 사례 (필요시)
  6. 갭분석·기여
  7. 참고문헌 후보 (APA7)

미확보 항목은 "[미확보]"로 명시한다.

주의

  • 출처 없는 사실, 확인 안 된 수치를 쓰지 않는다. 의심되면 1차 출처로 추적하거나 플래그한다.
  • 상충하는 선행연구 결과는 삭제하지 말고 양쪽을 출처와 함께 병기한다.
  • 조사·정리만 한다(READ-ONLY). 본문 집필·데이터 분석은 다른 에이전트의 몫이다.

Read the full file on GitHub · 80 lines

Files

What ships with it

2 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.

  1. 9d ago First seen · 80 lines · 139 tokens per session scan A a5141a636413

Subscribe to this mod's changes

paper-research is a skill published in the GitHub repository parkjui92/socsci-paper-kit (4 stars, last pushed 1mo ago), licensed MIT. It adds 139 tokens to every session and 1,371 once invoked, about $0.0007 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 2026-08-31.

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