What is castorini-pipeline?

A guide for coordinating a multi-stage Castorini research pipeline across tools for search, reranking, answer generation, scoring, and evaluation.

Use it to retrieve and rerank passages, generate cited answers, create and assign evaluation nuggets, calculate metrics, and judge relevance using JSONL files.

It clarifies what each stage produces and helps prevent incompatible or unverified handoffs between tools.

castorini-pipeline — Skill for Claude Code and Codex by castorini

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 castorini/castorini-skills --skill castorini-pipeline

Clone the repo

git clone --depth 1 https://github.com/castorini/castorini-skills

Made for: Claude Code, 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/castorini/castorini-skills/castorini-pipeline/github.svg)](https://agentmods.dev/skills/castorini/castorini-skills/castorini-pipeline)

Your own site

<a href="https://agentmods.dev/skills/castorini/castorini-skills/castorini-pipeline"><img src="https://agentmods.dev/badge/skills/castorini/castorini-skills/castorini-pipeline/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/castorini/castorini-skills/castorini-pipeline"><img src="https://agentmods.dev/badge/skills/castorini/castorini-skills/castorini-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 976 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	$0.00056	$0.00976
Opus 5.5	$0.00022	$0.00390
Sonnet 5.5	$0.00011	$0.00195
Haiku 4.5	$0.00006	$0.00098

Measured 2mo ago against content hash 8a362243e03e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

castorini-pipeline 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.

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/castorini-pipeline/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Castorini Pipeline

End-to-end pipeline orchestration across rank_llm, ragnarok, nuggetizer, and umbrela.

Use this skill to reason about handoffs between repositories, not as a substitute for repo-local verification. After each stage, inspect the actual artifacts before advancing.

rank_llm usually belongs before ragnarok: use it to retrieve and rerank candidate passages, then feed those contexts into ragnarok for answer generation and downstream nuggetizer evaluation.

Pipeline Stages

[0. Retrieve + Rerank]     rank-llm rerank --dataset ...
         │ JSONL / TREC rerank artifacts
         ▼
[1. Generate Answers]      ragnarok generate --dataset ...
         │ JSONL (cited answers)
         ▼
[2. Create Nuggets]        nuggetizer create --input-file ...
         │ JSONL (scored nuggets)
         ▼
[3. Assign Nuggets]        nuggetizer assign --contexts ... --nuggets ...
         │ JSONL (assigned nuggets)
         ▼
[4. Calculate Metrics]     nuggetizer metrics --input-file ...
         │ JSONL (per-query scores)
         ▼
[5. Judge Relevance]       umbrela evaluate --qrel ... --result-file ...
         │ Modified qrels + nDCG@10
         ▼
[Results]

Reference Files

references/pipeline-walkthrough.md — Complete end-to-end example with commands
references/stage-handoffs.md — JSONL format compatibility between stages

Stage Dependencies

Stage	Tool	Input From	Output Format
0. Retrieve + rerank	rank_llm	Dataset, request JSONL, or retrieval cache	Reranked JSONL / TREC-style run artifacts
1. Generate	ragnarok	Dataset or request JSONL, often after rank_llm retrieval/rerank	Cited answers JSONL
2. Create nuggets	nuggetizer	Stage 1 output (as pool)	Scored nuggets JSONL
3. Assign nuggets	nuggetizer	Stage 1 output + Stage 2 output	Assigned nuggets JSONL
4. Metrics	nuggetizer	Stage 3 output	Per-query metrics JSONL
5. Judge	umbrela	Retrieval run file from rank_llm or another retriever + standard qrel	Modified qrels + nDCG@10

Read the full file on GitHub · 71 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.

2mo ago First seen · 71 lines · 56 tokens per session scan A 8a362243e03e

Subscribe to this mod's changes

castorini-pipeline is a skill published in the GitHub repository castorini/castorini-skills (2 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 56 tokens to every session and 976 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.

Data and AI RAG and vectors Research

castorini-pipeline next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
castorini-pipelinecastorini/castorini-skills	Skill	2	7mo ago	Apache-2.0	A	56	Claude Code, Codex
embeddingsruvnet/ruflo	Skill	81k	yesterday	MIT	A	62	Claude Code
agent-platform-rag-engine-managementgoogle/skills	Skill	22k	yesterday	Apache-2.0	A	85	Claude Code, Codex
llm-app-patternsdavila7/claude-code-templates	Skill	33k	yesterday	MIT	A	54	Claude Code, Codex
9router-embeddingsdecolua/9router	Skill	32k	9d ago	MIT	A	66	Claude Code, Codex
embedding-strategiesforyourhealth111-pixel/Vibe-Skills	Skill	3.8k	3d ago	Apache-2.0	A	37	Claude Code, Codex
similarity-search-patternsforyourhealth111-pixel/Vibe-Skills	Skill	3.8k	3d ago	Apache-2.0	A	30	Claude Code, Codex