pipeline

pipeline is a skill for Claude Code, Codex from agenticnotetaking/arscontexta. It costs 54 tokens per session (2,350 once invoked), scanned A, original, MIT.

A single command for processing source material through a complete knowledge-work pipeline: extracting claims, creating notes, finding connections, checking them, and archiving the results.

In plain words
What is it for?
Use it to process a source file from an inbox through seeding, claim extraction, reflection, reweaving, verification, and batch archiving.
Why use it?
It removes the need to run each processing stage separately and keeps the stages connected through shared task files.

Skill for Claude CodeCodex

Part of the arscontexta plugin — 26 skills, 1 agent, 2 hooks shipped together

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.

agentmods
npx agentmods add skills/agenticnotetaking/arscontexta/pipeline
Any agent
npx skills add agenticnotetaking/arscontexta --skill pipeline
Clone the repo
git clone --depth 1 https://github.com/agenticnotetaking/arscontexta

Made for: Claude Code, Codex.

Or install arscontexta, the plugin that ships this one along with the rest of its 26 skills, 1 agent, 2 hooks.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/agenticnotetaking/arscontexta/pipeline.svg)](https://agentmods.dev/skills/agenticnotetaking/arscontexta/pipeline)
Your own site
<a href="https://agentmods.dev/skills/agenticnotetaking/arscontexta/pipeline"><img src="https://agentmods.dev/badge/skills/agenticnotetaking/arscontexta/pipeline.svg" alt="Measured on agentmods" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,350 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00054 $0.02350
Opus 5 $0.00027 $0.01175
Sonnet 5 $0.00011 $0.00470
Haiku 4.5 $0.00005 $0.00235

Measured 4d ago against content hash bacb7864cddc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 4d 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.

skill-sources/pipeline/SKILL.md · 315 lines

How it starts

The opening of the file, as written. The whole thing — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.

EXECUTE NOW

Target: $ARGUMENTS

Parse immediately:

  • Source file path: the file to process (required)
  • --handoff: output RALPH HANDOFF block at end (for chaining)
  • If target is empty: list files in {DOMAIN:inbox}/ and ask which to process

Step 0: Read Vocabulary

Read ops/derivation-manifest.md (or fall back to ops/derivation.md) for domain vocabulary mapping. All output must use domain-native terms. If neither file exists, use universal terms.

START NOW. Run the full pipeline.


Pipeline Overview

The pipeline chains four phases. Each phase uses skill invocation or /ralph for subagent-based processing. State lives in the queue file — the pipeline is stateless orchestration on top of stateful queue entries.

Source file
    |
    v
Phase 1: /seed — create extract task, move source to archive
    |
    v
Phase 2: /reduce (via /ralph) — extract claims from source
    |
    v
Phase 3: /ralph (all claims) — create -> reflect -> reweave -> verify
    |
    v
Phase 4: /archive-batch — move task files, generate summary
    |
    v
Complete

The pipeline is the convenience wrapper. /ralph is the engine. /seed is the entry point.


Phase 1: Seed

Invoke /seed on the target file to create the extract task, check for duplicates, and move the source to its archive folder.

How to invoke:

Use the Skill tool if available, otherwise execute the /seed workflow directly:

  • Validate source exists
  • Check for prior processing (duplicate detection)
  • Create archive folder
  • Move source from {DOMAIN:inbox} to archive
  • Create extract task file
  • Add extract task to queue

Capture from seed output:

  • Batch ID: the source basename (used for --batch filtering in subsequent steps)
  • Archive folder path: where the source was moved
  • next_claim_start: the claim numbering start

Report: $ Seeded: {source-name}

If seed reports the file was already processed: Ask the user whether to proceed or skip. Do NOT auto-skip — the user may want to re-process with different scope.

Read the full file on GitHub · 315 lines

Files

What ships with it

1 file 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. 4d ago First seen · 315 lines · 54 tokens per session scan A bacb7864cddc

Subscribe to this mod's changes

pipeline is a skill published in the GitHub repository agenticnotetaking/arscontexta (3,486 stars, last pushed 6mo ago), licensed MIT. It adds 54 tokens to every session and 2,350 once invoked, about $0.0003 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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