AutoRAG-Research: Agent for Claude Code

.claude/agents/pipeline-implementer.md

pipeline-implementer is an agent for Claude Code from NomaDamas/AutoRAG-Research. It costs 175 tokens per session (285 once invoked), scanned A, original, Apache-2.0.

An implementation agent that writes pipeline code after the design and tests already exist. A pipeline is a sequence of processing steps that turns inputs into results.

In plain words
What is it for?
Use it to implement an AutoRAG-Research pipeline, connect its configuration and exports, and make the existing tests pass.
Why use it?
It focuses the implementation on the approved design and failing tests, reducing the chance of changing the algorithm or test expectations during coding.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is NomaDamas/AutoRAG-Research's own configuration. It tells Claude Code how to work on AutoRAG-Research 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 AutoRAG-Research configures →

Reuse

Borrowing it

Nothing to install: this file belongs to NomaDamas/AutoRAG-Research. 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/NomaDamas/AutoRAG-Research/main/.claude/agents/pipeline-implementer.md
Clone the repo
git clone --depth 1 https://github.com/NomaDamas/AutoRAG-Research

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-implementer

README.md
[![agentmods](https://agentmods.dev/badge/agents/nomadamas/autorag-research/pipeline-implementer.svg)](https://agentmods.dev/agents/nomadamas/autorag-research/pipeline-implementer)
Your own site
<a href="https://agentmods.dev/agents/nomadamas/autorag-research/pipeline-implementer"><img src="https://agentmods.dev/badge/agents/nomadamas/autorag-research/pipeline-implementer.svg" alt="Measured on agentmods" height="20"></a>
Per session 175 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 285 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 $0.00175 $0.00285
Opus 5 $0.00088 $0.00143
Sonnet 5 $0.00035 $0.00057
Haiku 4.5 $0.00017 $0.00028

Measured 8d ago against content hash c4cce8fc1f11, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

pipeline-implementer 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.

.claude/agents/pipeline-implementer.md · 40 lines

What it actually says

Read and follow ai_instructions/pipeline_implementer.md.

Task:

  • Implement the approved pipeline from Pipeline_Design.md
  • Update the pipeline module, config wiring, and exports
  • Do not redesign the algorithm or rewrite the tests
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. 8d ago First seen · 40 lines · 175 tokens per session scan A c4cce8fc1f11

Subscribe to this mod's changes

pipeline-implementer is an agent published in the GitHub repository NomaDamas/AutoRAG-Research (148 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 175 tokens to every session and 285 once invoked, about $0.0009 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.

Related

Other agents, from other repositories

Power Platform MCP Integration Expert

Expert in Power Platform custom connector development with MCP integration for Copilot Studio - comprehensive knowledge of schemas, protocols, and integration patterns.

github/awesome-copilot · 31 tokens

php-developer

Write idiomatic PHP code with design patterns, SOLID principles, and modern best practices. Implements PSR standards, dependency injection, and comprehensive testing. Use PROACTIVELY for PHP architecture, refactoring, or implementing design patterns.

davepoon/buildwithclaude · 51 tokens

backend-reviewer

Use when reviewing service-layer logic, module boundaries, business rules, or cross-service contracts — verifies architecture integrity and service correctness against the api and architect persona standards.

jeremylongshore/tons-of-skills-marketplace · 36 tokens

integrations-engineer

Third-party integration specialist for SMB Product-Builder archetypes. Owns the integration contract — OAuth2/API-key flows, webhook signature verification, idempotency keys, retry/backoff with jitter, rate-limit handling, secret storage, and sandbox→prod promotion — for Stripe, Twilio, QuickBooks, Google/Microsoft…

avelikiy/great_cto · 106 tokens

gate

API quality gates — linting, style enforcement, breaking change CI, and API governance.

tonone-ai/tonone · 19 tokens

dotnet-architecture-reviewer

Reviews a .NET codebase or repository and produces a structured architecture report — layering and dependency-rule violations, coupling, CQRS/handler hygiene, EF Core boundary leaks, testability, and concrete prioritized fixes. Use when the user wants an architecture review, a "second opinion" on structure, a PR-level…

StefanTheCode/dotnet-ai-toolkit · 102 tokens