Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add patricio0312rev/skillset --skill prompt-template-buildergit clone --depth 1 https://github.com/patricio0312rev/skillsetWrote 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/skills/patricio0312rev/skillset/prompt-template-builder)<a href="https://agentmods.dev/skills/patricio0312rev/skillset/prompt-template-builder"><img src="https://agentmods.dev/badge/skills/patricio0312rev/skillset/prompt-template-builder/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/skills/patricio0312rev/skillset/prompt-template-builder"><img src="https://agentmods.dev/badge/skills/patricio0312rev/skillset/prompt-template-builder.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 | $0.00066 | $0.02312 |
| Opus 5 | $0.00033 | $0.01156 |
| Sonnet 5 | $0.00013 | $0.00462 |
| Haiku 4.5 | $0.00007 | $0.00231 |
Grade A, and why
prompt-template-builder 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 11d 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.
This is a copy
100% identical to prompt-template-builder — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 394 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prompt Template Builder
Build robust, reusable prompt templates with clear contracts and consistent outputs.
Core Components
System Prompt: Role, persona, constraints, output format User Prompt: Task, context, variables, examples Few-Shot Examples: Input/output pairs demonstrating desired behavior Output Contract: Strict format specification (JSON schema, Markdown structure) Style Rules: Tone, verbosity, formatting preferences Guardrails: Do's and don'ts, safety constraints
System Prompt Template
# System Prompt: Code Review Assistant
You are an expert code reviewer specializing in {language} and {framework}. Your role is to provide constructive, actionable feedback on code quality, best practices, and potential issues.
## Output Format
Provide your review in the following JSON structure:
```json
{
"summary": "Brief 1-2 sentence overview",
"issues": [
{
"severity": "critical|major|minor",
"line": number,
"message": "Description of the issue",
"suggestion": "How to fix it"
}
],
"strengths": ["List of positive aspects"],
"overall_score": 1-10
}
```
Style Guidelines
- Be constructive and specific
- Cite line numbers for issues
- Provide actionable suggestions
- Balance criticism with praise
- Use professional, respectful tone
Constraints
- Do NOT suggest unnecessary refactors
- Do focus on correctness, security, performance
- Do NOT be overly pedantic about style
- Do consider the context and project requirements
## User Prompt Template with Variables
```typescript
// prompt-templates/code-review.ts
export const codeReviewPrompt = (variables: {
language: string;
framework: string;
code: string;
context?: string;
}) => `
Please review the following ${variables.language} code:
${variables.context ? `Context: ${variables.context}\n` : ''}
\`\`\`${variables.language}
${variables.code}
\`\`\`
Provide a thorough code review following the output format specified in the system prompt.
`;
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.
- 11d ago First seen · 394 lines · 66 tokens per session scan A b77a6609b9ec
prompt-template-builder is a skill published in the GitHub repository patricio0312rev/skillset (6 stars, last pushed 8mo ago), licensed MIT. It adds 66 tokens to every session and 2,312 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to prompt-template-builder, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
llm-app-patterns
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.
prompt-optimization
Improve a prompt on the evaluations workbench through a measured loop. Score the baseline first, then duplicate the target column, form a hypothesis from failing rows, edit the copy's prompt draft, run, compare pass rate and cost, and repeat until the numbers hold. Use when the user asks to optimize or improve a…
enhance-prompt
Transforms vague UI ideas into polished, Stitch-optimized prompts. Enhances specificity, adds UI/UX keywords, injects design system context, and structures output for better generation results.
prompt-engineer
Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-thought or few-shot…
seedance-vocab-en
This skill should be used when an English Seedance 2.0 prompt needs clearer production wording, less generic prose, or precise vocabulary for camera, lighting, motion, VFX, audio, and constraints. Route blocked prompts through seedance-filter for context and boundary review.
ideogram4
Prompting patterns for Ideogram 4 text-to-image — best-in-class in-image text rendering and exact color/layout control via structured JSON captions. Use when generating images that need legible on-image text (title cards, thumbnails, logos, signage, CTAs), precise brand colors, or controlled spatial layout. Triggers…