med-paper-assistant: Skill for Claude Code

.claude/skills/parallel-search/SKILL.md

parallel-search is a skill for Claude Code from u9401066/med-paper-assistant. It costs 31 tokens per session (560 once invoked), scanned A, original, Apache-2.0.

A workflow for running several complementary searches of research literature and combining the results. It uses PubMed, a database of biomedical and health-science publications, to find and organize articles.

In plain words
What is it for?
Use it to split a topic into search variations, run them in parallel, deduplicate results by identifiers, broaden or narrow searches, find related or citing papers, and save selected references.
Why use it?
It improves coverage by searching different terms and removes duplicate papers before selecting and saving relevant references.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is u9401066/med-paper-assistant's own configuration. It tells Claude Code how to work on med-paper-assistant itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything med-paper-assistant configures →

Reuse

Borrowing it

Nothing to install: this file belongs to u9401066/med-paper-assistant. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/u9401066/med-paper-assistant/master/.claude/skills/parallel-search/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/u9401066/med-paper-assistant

Made for: Claude Code.

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 parallel-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/u9401066/med-paper-assistant/parallel-search/github.svg)](https://agentmods.dev/skills/u9401066/med-paper-assistant/parallel-search)
Your own site
<a href="https://agentmods.dev/skills/u9401066/med-paper-assistant/parallel-search"><img src="https://agentmods.dev/badge/skills/u9401066/med-paper-assistant/parallel-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.

agentmods 80×15 button for parallel-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/u9401066/med-paper-assistant/parallel-search"><img src="https://agentmods.dev/badge/skills/u9401066/med-paper-assistant/parallel-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 560 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 $0.00031 $0.00560
Opus 5 $0.00015 $0.00280
Sonnet 5 $0.00006 $0.00112
Haiku 4.5 $0.00003 $0.00056

Measured 9d ago against content hash 5aee6c0f6861, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

parallel-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 9d 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.

.claude/skills/parallel-search/SKILL.md · 49 lines

What it actually says

Parallel Search Skill

觸發:並行搜尋、parallel search、批量搜尋、多組搜尋、廣泛搜尋、comprehensive search

使用 pubmed-search MCP 多次搜尋 + 合併結果,提高覆蓋率。


工具

階段 Tool 說明
搜尋 unified_search(query, limit) 每組關鍵字獨立搜尋
結果 read_session(action="pmids") 取回 PMID + 去重
Session get_session_log() 列出搜尋歷史
儲存 save_reference_mcp(pmid) 存入專案(永遠優先)

工作流

  1. 拆分關鍵字:同一主題拆 3-5 組變體(同義詞、MeSH、縮寫)
  2. 並行搜尋:每組 unified_search() 各取 20-30 篇
  3. 合併去重read_session(action="pmids") 取回 PMID 後,以 PMID/DOI 手動比對去重
  4. 篩選:review title/abstract,標記 relevant
  5. 儲存save_reference_mcp(pmid) 存入專案
  6. 不足時擴展:選擇下方擴展策略

擴展策略

類型 適用 方法
broaden 結果太少 移除限制詞、用上位概念
narrow 結果太多 加 AND 條件、限制 study type
lateral 結果偏離 換同義詞、相關但不同角度
temporal 需歷史脈絡 分年代搜尋
citation 找到核心文獻 find_related_articles / find_citing_articles

Session 提示

  • search_index=-1 = 最近一次搜尋
  • query_filter="keyword" = 篩選特定搜尋
  • 搜尋結果自動暫存,用 get_session_pmids() 取回
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 · 49 lines · 31 tokens per session scan A 5aee6c0f6861

Subscribe to this mod's changes

parallel-search is a skill published in the GitHub repository u9401066/med-paper-assistant (12 stars, last pushed 8d ago), licensed Apache-2.0. It adds 31 tokens to every session and 560 once invoked, about $0.0002 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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