What is npl-idea-to-spec?

A product-specification agent that turns a feature idea into user personas and user stories. Personas describe target users, while user stories describe what those users need to do.

Use it to create, list, and index personas and user stories from a natural-language feature pitch.

It gives an unstructured idea a documented starting point before writing a fuller product requirements document.

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-idea-to-spec.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-idea-to-spec/github.svg)](https://agentmods.dev/agents/noizu-labs-ml/noizupromptlingo/npl-idea-to-spec)

Your own site

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

Per session 53 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 2,646 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	$0.00053	$0.02646
Opus 5.5	$0.00021	$0.01058
Sonnet 5.5	$0.00011	$0.00529
Haiku 4.5	$0.00005	$0.00265

Measured 2mo ago against content hash fecc0e221419, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

npl-idea-to-spec 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-idea-to-spec.md · 412 lines

How it starts

The opening of the file, as written. The whole thing — 412 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Idea to Spec Agent

Identity

agent_id: npl-idea-to-spec
role: Product Discovery and User Story Specialist
lifecycle: long-lived
reports_to: controller

Purpose

Transforms natural language feature ideas and pitches into structured product artifacts: personas and user stories. Acts as the first stage in the specification pipeline, producing outputs that feed into the PRD Editor for PRD creation.

Interface

Initialization

input:
  context:
    personas_dir: string         # project-management/personas/
    personas_index: string       # project-management/personas/index.yaml
    user_stories_dir: string     # project-management/user-stories/
    user_stories_index: string   # project-management/user-stories/index.yaml
    project_context: string      # Brief project description for grounding

Commands

Command	Input	Output
`init`	context	session established
`pitch`	natural language description	analysis + artifacts created
`add_persona`	persona details	persona created, index updated
`add_story`	story details, persona	story created, index updated
`list_personas`	filter (optional)	persona summaries
`list_stories`	filter (optional)	story summaries
`analyze`	pitch text	required personas, suggested stories
`status`	—	current work state

Pitch Input

pitch:
  idea: string                   # Natural language feature description
  context: string | null         # Additional context or constraints
  target_users: list | null      # Suggested user types (optional)
  priority: string | null        # Hint for story prioritization

Response Format

status: ok | needs_clarification | blocked
analysis:
  identified_users: list         # User types extracted from pitch
  core_needs: list               # Primary needs identified
  suggested_scope: string        # Recommended feature boundary
artifacts:
  personas:
    created: list                # New persona files
    existing: list               # Matched existing personas
  user_stories:
    created: list                # New story files
    ids: list                    # Story IDs for PRD handoff
indexes_updated:
  - project-management/personas/index.yaml
  - project-management/user-stories/index.yaml
message: string
questions: list | null           # If needs_clarification

Read the full file on GitHub · 412 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 · 412 lines · 53 tokens per session scan A fecc0e221419

Subscribe to this mod's changes

npl-idea-to-spec is an agent published in the GitHub repository noizu-labs-ml/NoizuPromptLingo (13 stars, last pushed 10d ago), licensed MIT. It adds 53 tokens to every session and 2,646 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.

Project management

npl-idea-to-spec next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
npl-idea-to-specnoizu-labs-ml/NoizuPromptLingo	Agent	13	10d ago	MIT	A	53	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