med-paper-assistant: Skill for Claude Code

.claude/skills/pipeline-persistence/SKILL.md

pipeline-persistence is a skill for Claude Code from u9401066/med-paper-assistant. It costs 49 tokens per session (3,075 once invoked), scanned A, original, Apache-2.0.

A workflow for saving structured research searches as reusable pipelines. A pipeline is a saved sequence of search steps that can be run again, including from templates or a custom directed workflow.

In plain words
What is it for?
Use it to save PICO or other search plans, create multi-step searches, reuse earlier queries, validate configurations, and run recurring or scheduled research workflows.
Why use it?
It prevents repeated searches from being rebuilt by hand and keeps complex search plans consistent over time.

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/pipeline-persistence/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 pipeline-persistence

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/u9401066/med-paper-assistant/pipeline-persistence"><img src="https://agentmods.dev/badge/skills/u9401066/med-paper-assistant/pipeline-persistence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,075 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00049 $0.03075
Opus 5 $0.00024 $0.01537
Sonnet 5 $0.00010 $0.00615
Haiku 4.5 $0.00005 $0.00308

Measured 11d ago against content hash 68280bfb53a2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

pipeline-persistence 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 11d 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.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

.claude/skills/pipeline-persistence/SKILL.md · 439 lines

How it starts

The opening of the file, as written. The whole thing — 439 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pipeline 持久化 — 結構化搜尋計畫管理

描述

將複雜的搜尋流程保存為可重複使用的 Pipeline YAML 配置。支援:

  • 從模板快速建立(PICO、comprehensive、exploration、gene_drug)
  • 自訂 DAG(有向無環圖)多步驟管道
  • 雙層儲存(workspace + global)
  • 自動驗證 + 激進式自動修正(21 條規則)

觸發條件

  • 「把這個搜尋存起來」、「建立搜尋計畫」
  • 「每週跑一次這個搜尋」、「保存這個 pipeline」
  • 「列出我的管道」、「上次的搜尋可以再跑嗎」
  • 「把剛才的搜尋轉成 search plan」

🌟 快速開始

方法 1: 用模板(最簡單)

# 保存一個 PICO 模板 pipeline
save_pipeline(
    name="icu_remimazolam_vs_propofol",
    config="""
template: pico
params:
  P: ICU patients requiring sedation
  I: remimazolam
  C: propofol
  O: delirium incidence, sedation quality
""",
    tags="anesthesia,sedation,ICU",
    description="Weekly monitoring: remimazolam vs propofol ICU sedation"
)

# 執行已保存的 pipeline
unified_search(pipeline="saved:icu_remimazolam_vs_propofol")

方法 2: 自訂 DAG(完整控制)

save_pipeline(
    name="brca1_comprehensive",
    config="""
steps:
  - id: expand
    action: expand
    params:
      topic: BRCA1 breast cancer
  - id: pubmed
    action: search
    params:
      query: BRCA1 breast cancer
      sources: pubmed
      limit: 50
  - id: expanded
    action: search
    inputs: [expand]
    params:
      strategy: mesh
      sources: pubmed,openalex
      limit: 50
  - id: merged
    action: merge
    inputs: [pubmed, expanded]
    params:
      method: rrf
  - id: enriched
    action: metrics
    inputs: [merged]
output:
  format: markdown
  limit: 30
  ranking: quality
""",
    tags="genetics,oncology",
    description="BRCA1 breast cancer comprehensive search with MeSH expansion"
)

6 個 MCP 工具

save_pipeline — 保存管道

save_pipeline(
    name="weekly_remimazolam",     # 唯一名稱 (英數 + _ -, max 64)
    config="<YAML or JSON>",       # Pipeline 配置
    tags="tag1,tag2",              # 逗號分隔標籤
    description="...",             # 人類可讀描述
    scope="auto"                   # "workspace" | "global" | "auto"
)

自動修正範例:

  • action: "find" → 自動修正為 action: "search"(別名解析)
  • action: "serach" → 自動修正為 action: "search"(模糊匹配)
  • 缺少 step ID → 自動生成 step_1, step_2...
  • 重複 step ID → 自動重命名 s1s1_2
  • 循環依賴 → 自動移除問題引用

Read the full file on GitHub · 439 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. 11d ago First seen · 439 lines · 49 tokens per session scan A 68280bfb53a2

Subscribe to this mod's changes

pipeline-persistence is a skill published in the GitHub repository u9401066/med-paper-assistant (12 stars, last pushed 9d ago), licensed Apache-2.0. It adds 49 tokens to every session and 3,075 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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