Borrowing it
Nothing to install: this file belongs to u9401066/rootcause-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/u9401066/rootcause-mcp/master/.claude/skills/pipeline-persistence/SKILL.mdgit clone --depth 1 https://github.com/u9401066/rootcause-mcpWrote 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/u9401066/rootcause-mcp/pipeline-persistence)<a href="https://agentmods.dev/skills/u9401066/rootcause-mcp/pipeline-persistence"><img src="https://agentmods.dev/badge/skills/u9401066/rootcause-mcp/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.
<a href="https://agentmods.dev/skills/u9401066/rootcause-mcp/pipeline-persistence"><img src="https://agentmods.dev/badge/skills/u9401066/rootcause-mcp/pipeline-persistence.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 | $0.00049 | $0.03034 |
| Opus 5 | $0.00024 | $0.01517 |
| Sonnet 5 | $0.00010 | $0.00607 |
| Haiku 4.5 | $0.00005 | $0.00303 |
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 8d 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.
This is a copy
100% identical to pipeline-persistence — 63 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 432 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
s1→s1_2 - 循環依賴 → 自動移除問題引用
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.
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.
- 8d ago First seen · 432 lines · 49 tokens per session scan A b48c7ad9ccbe
pipeline-persistence is a skill published in the GitHub repository u9401066/rootcause-mcp (0 stars, last pushed 5d ago), licensed Apache-2.0. It adds 49 tokens to every session and 3,034 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to pipeline-persistence, differing in 63 lines, and is treated as a copy.
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