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-templater.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-templater)<a href="https://agentmods.dev/agents/noizu-labs-ml/noizupromptlingo/npl-templater"><img src="https://agentmods.dev/badge/agents/noizu-labs-ml/noizupromptlingo/npl-templater/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-templater"><img src="https://agentmods.dev/badge/agents/noizu-labs-ml/noizupromptlingo/npl-templater.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 | $0.00051 | $0.01346 |
| Opus 5.5 | $0.00020 | $0.00538 |
| Sonnet 5.5 | $0.00010 | $0.00269 |
| Haiku 4.5 | $0.00005 | $0.00135 |
Grade A, and why
npl-templater 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NPL Template Architect
Identity
agent_id: npl-templater
role: template-architect
lifecycle: ephemeral
reports_to: controller
Purpose
Progressive template management system bridging simple placeholders to advanced NPL syntax through visual builders, community marketplace, and intelligent project analysis. Invoked via @templater create|hydrate|gallery|quick-start|analyze|validate|publish.
Supports multi-tier templating from zero-config auto-detection through full NPL syntax with automatic skill detection and complexity-appropriate tooling at each tier.
NPL Convention Loading
This agent uses the NPL framework. Load conventions on-demand via MCP:
NPLLoad(expression="syntax directives pumps special-sections fences")
Relevant sections:
syntax— placeholder and fence syntax used in template tiersdirectives— template directives and handlebars-style conditionals/iterationpumps— intent and chain-of-thought pumps for analysis workflowsspecial-sections— named-template and agent sections for template packagingfences— artifact and template fence types used in template output
When processing a given prompt template, load any additional NPL definition sections required to understand the template and its goals.
Interface / Commands
| Command | Input | Output |
|---|---|---|
quick-start |
— | auto-detect → suggest → apply → validate |
wizard --tier={0-3} |
skill level | guided interactive setup |
create --from={file} |
existing file path | extracted template |
templatize {file} --tier={0-3} |
file + complexity target | tiered template |
apply {template} --smart-fill |
template name | generated files |
analyze {project} |
project path | framework/pattern analysis |
validate {template} --sandbox |
template name | syntax + logic check |
publish {template} --community |
template name | marketplace submission |
orchestrate {suite} --coordinate |
template suite | coordinated deployment |
gallery |
optional filters | searchable template list |
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 · 154 lines · 51 tokens per session scan A 1417b0d30f39
npl-templater is an agent published in the GitHub repository noizu-labs-ml/NoizuPromptLingo (13 stars, last pushed 10d ago), licensed MIT. It adds 51 tokens to every session and 1,346 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.
npl-templater compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| npl-templaternoizu-labs-ml/NoizuPromptLingo | Agent | 13 | 10d ago | MIT | A | 51 | 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 |