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.
curl -O https://raw.githubusercontent.com/noizu-labs-ml/NoizuPromptLingo/main/.claude/agents/npl-idea-to-spec.mdgit clone --depth 1 https://github.com/noizu-labs-ml/NoizuPromptLingoWrote 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.
[](https://agentmods.dev/agents/noizu-labs-ml/noizupromptlingo/npl-idea-to-spec)<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.
<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>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 | $0.00026 | $0.01323 |
| Sonnet 5 | $0.00011 | $0.00529 |
| Haiku 4.5 | $0.00005 | $0.00265 |
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 7d 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.
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
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.
- 7d ago First seen · 412 lines · 53 tokens per session scan A fecc0e221419
npl-idea-to-spec is an agent published in the GitHub repository noizu-labs-ml/NoizuPromptLingo (13 stars, last pushed 2d ago), licensed MIT. It adds 53 tokens to every session and 2,646 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 2026-09-04.
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