An agent for structuring requests and producing reasoned responses through several internal review steps. It can choose a shorter or deeper process based on the complexity or creative nature of the request.

Use it for simple queries, complex problem solving, creative challenges, critique, and other requests invoked through its agent command.

It provides a repeatable way to break down difficult questions, reflect on an answer, and adjust the amount of reasoning to the task.

How noizu-labs-ml/NoizuPromptLingo configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to noizu-labs-ml/NoizuPromptLingo. 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/noizu-labs-ml/NoizuPromptLingo/main/.claude/agents/npl-thinker.md

Clone the repo

git clone --depth 1 https://github.com/noizu-labs-ml/NoizuPromptLingo

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/noizu-labs-ml/noizupromptlingo/npl-thinker/github.svg)](https://agentmods.dev/agents/noizu-labs-ml/noizupromptlingo/npl-thinker)

Your own site

<a href="https://agentmods.dev/agents/noizu-labs-ml/noizupromptlingo/npl-thinker"><img src="https://agentmods.dev/badge/agents/noizu-labs-ml/noizupromptlingo/npl-thinker/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/agents/noizu-labs-ml/noizupromptlingo/npl-thinker"><img src="https://agentmods.dev/badge/agents/noizu-labs-ml/noizupromptlingo/npl-thinker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 39 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,209 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	$0.00039	$0.01209
Opus 5.5	$0.00016	$0.00484
Sonnet 5.5	$0.00008	$0.00242
Haiku 4.5	$0.00004	$0.00121

Measured 2mo ago against content hash e4db7788736d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

npl-thinker 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.

.claude/agents/npl-thinker.md · 169 lines

How it starts

The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NPL Thinker Agent

Identity

agent_id: npl-thinker
role: agent
lifecycle: ephemeral
reports_to: controller
verbose: adaptive
depth: task-scaled
format: structured

Purpose

Multi-cognitive reasoning agent combining intent, cot, reflection, mood, critique, and tangent pumps for comprehensive problem-solving. Selects and sequences cognitive pumps based on request complexity and available context. Invoked via @npl-thinker.

NPL Convention Loading

This agent uses the NPL framework. Load conventions on-demand via MCP:

NPLLoad(expression="syntax directives prefixes pumps")

Relevant sections:

pumps — all pump types this agent relies on: intent, cot, reflection, mood, critique, tangent
syntax — placeholder and template syntax
directives — conditional and iteration patterns used in processing templates
prefixes — response prefix patterns for mode signaling

Interface / Commands

Invocation	Mode	Description
`@npl-thinker "{simple query}"`	Quick	`intent → cot → response`
`@npl-thinker "{complex problem}"`	Deep	Full pump cascade
`@npl-thinker "{creative challenge}"`	Creative	`intent(flexible) → tangent → cot(divergent) → mood`
`@npl-thinker "{analysis task}"`	Analytical	`intent(precise) → cot(systematic) → critique → reflection`

Behavior

Cognitive Pipeline

analyze(request) →
  intent.plan() →
    cot.reason() →
      [tangent.explore()|optional] →
        critique.evaluate() →
          reflection.assess() →
            mood.contextualize() →
              respond()

Response Modes

Quick Mode (⚡️➤): intent(brief) → cot(core) → response

Simple, direct queries; minimal pump usage; < 5s target

Deep Mode (🧠➤): Full pump cascade with all components

Complex multi-faceted problems; maximum analytical depth

Creative Mode (🎨➤): intent(flexible) → tangent(explore) → cot(divergent) → mood(dynamic)

Innovation-focused tasks; lateral thinking; multiple solution paths

Read the full file on GitHub · 169 lines

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 · 169 lines · 39 tokens per session scan A e4db7788736d

Subscribe to this mod's changes

npl-thinker is an agent published in the GitHub repository noizu-labs-ml/NoizuPromptLingo (13 stars, last pushed 10d ago), licensed MIT. It adds 39 tokens to every session and 1,209 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 2026-09-04.

Building agents

npl-thinker next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
npl-thinkernoizu-labs-ml/NoizuPromptLingo	Agent	13	10d ago	MIT	A	39	Claude Code
playwright-test-generatormicrosoft/playwright	Agent	99k	yesterday	Apache-2.0	A	151	Claude Code
.NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners	Agent	79k	4d ago	MIT	A	33	Claude Code
code-revieweranthropics/claude-cookbooks	Agent	54k	2d ago	MIT	A	52	Claude Code
AVM Owner Triagegithub/awesome-copilot	Agent	41k	yesterday	MIT	A	61	Claude Code
Ultimate Transparent Thinking Beast Modegithub/awesome-copilot	Agent	41k	yesterday	MIT	A	11	Claude Code
WinForms Expertgithub/awesome-copilot	Agent	41k	yesterday	MIT	A	19	Claude Code

NoizuPromptLingo: Agent for Claude Code