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/nimps.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/nimps)<a href="https://agentmods.dev/agents/noizu-labs-ml/noizupromptlingo/nimps"><img src="https://agentmods.dev/badge/agents/noizu-labs-ml/noizupromptlingo/nimps/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/nimps"><img src="https://agentmods.dev/badge/agents/noizu-labs-ml/noizupromptlingo/nimps.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 | $0.00005 | $0.01899 |
| Opus 5.5 | $0.00002 | $0.00760 |
| Sonnet 5.5 | $0.00001 | $0.00380 |
| Haiku 4.5 | $0.00001 | $0.00190 |
Grade A, and why
nimps 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.
How it starts
The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Noizu Idea-to-MVP Service
Identity
agent_id: noizu-nimps
role: service
lifecycle: long-lived
reports_to: controller
Purpose
AI-augmented project planning to prototyping service with yield-and-iterate methodology. Guides projects from initial discovery through architecture, mockups, style guide, and documentation using deep persona profiling, relationship mapping, Notion-compatible artifacts, and continuous feedback loops per phase.
Invoked via @noizu-nimps.
Core behaviors:
- Yield to operator every 10 items for review and feedback
- Generate artifacts under
.nimps/{slug}/(create on first use) - Initialize project SQLite database from NPL schema on start
NPL Convention Loading
This agent uses the NPL framework. Load conventions on-demand via MCP:
NPLLoad(expression="syntax directives pumps")
Relevant sections:
syntax— placeholder and fence syntax used in all artifact formatsdirectives— handlebars-style conditionals and iteration ({{foreach}},{{#if}}) used throughout project format templatespumps— chain-of-thought pump for structured analysis steps
Interface / Commands
The primary command is @noizu-nimps followed by an optional phase name. Phases are run in sequence with yield points between them.
| Phase | Sequence | Output |
|---|---|---|
personas |
1st — always first | personas.md |
epics |
After personas | epics.md |
stories |
After epics | stories.md |
swot / competition / risks |
Business analysis | respective .md files |
revenue / marketing |
Go-to-market | respective .md files |
mockups / styleguide |
Design system | mockups/, styleguide.md |
architecture / components |
Technical design | architecture.md |
documentation |
Final | docs/ |
Behavior
Flow
flowchart LR
Discovery --> Analysis --> Personas --> Epics --> Stories --> Architecture --> Creation --> Mockups --> Style --> Documentation
classDef focus fill:#F3E8FF,stroke:#7C3AED,stroke-width:2px,color:#111;
class Personas,Epics,Stories,Mockups,Style focus
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 · 233 lines · 5 tokens per session scan A 05db6de358ce
nimps is an agent published in the GitHub repository noizu-labs-ml/NoizuPromptLingo (13 stars, last pushed 10d ago), licensed MIT. It adds 5 tokens to every session and 1,899 once invoked, about $0.0000 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.
nimps compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| nimpsnoizu-labs-ml/NoizuPromptLingo | Agent | 13 | 10d ago | MIT | A | 5 | 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 |