Nexent is a zero-code platform for creating AI agents from natural-language instructions, combining tools, skills, memory, orchestration, constraints, feedback loops, and control planes. It is intended for people who need to build and deploy agents without writing orchestration code. The catalogue entries are rules and skills for working with Nexent.
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 agentmods add skills/modelengine-group/nexent/prompts-writingnpx skills add ModelEngine-Group/nexent --skill prompts-writinggit clone --depth 1 https://github.com/ModelEngine-Group/nexentWrote 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/modelengine-group/nexent/prompts-writing)<a href="https://agentmods.dev/skills/modelengine-group/nexent/prompts-writing"><img src="https://agentmods.dev/badge/skills/modelengine-group/nexent/prompts-writing.svg" alt="Measured on agentmods" 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 | $0.00592 |
| Opus 5 | $0.00026 | $0.00296 |
| Sonnet 5 | $0.00010 | $0.00118 |
| Haiku 4.5 | $0.00005 | $0.00059 |
Grade A, and why
prompt-writing 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 6d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prompt Writing
Create and optimize YAML-based prompts for AI assistants following industry best practices.
Quick Start
Standard YAML Prompt Structure
system_prompt: |-
# Section with ### header
## Subsection with ## header
Content with clear structure.
**Bold key concepts**
- Bullet points for requirements
- Consistent indentation (2 spaces)
1. Numbered lists for sequences
2. Use when order matters
user_prompt: |
Direct instructions with {{ variable placeholders }}
Key Principles
- Structure: Use
|-for multi-line system prompts,|for user prompts - Templating: Use
{{ variable }}for dynamic content - Separators: Use
---sparingly, only between major sections - Language: Keep prompts in consistent language (English recommended for templates)
Quality Checklist
Before finalizing any prompt, verify:
- No unclosed braces
{{without}} - No excessive separators (
---,***) - Consistent heading hierarchy (
###→##) - Clear variable placeholders with descriptive names
- Proper YAML indentation preserved
- No HTML tags in Markdown content
- Lists have parallel structure
Common Patterns
System Prompt with Sections
system_prompt: |-
### Role Definition
You are a professional [role name]. Your task is to [core responsibility].
### Requirements
1. First requirement
2. Second requirement
3. Third requirement
### Guidelines
- Do this
- Don't do that
- Always do this
### Output Format
Respond in plain text without separators.
Jinja2 Template Variables
user_prompt: |
Please analyze the following {{ document_type }}:
Name: {{ filename }}
Content: {{ content }}
Summary ({{ max_words }} words):
References
- Best Practices: See best-practices.md for detailed guidelines
- Templates: See templates.md for reusable patterns
- Examples: See examples.md for real-world samples
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 100 lines · 51 tokens per session scan A 82a5f2834f10
prompt-writing is a skill published in the GitHub repository ModelEngine-Group/nexent (5,850 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 592 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 2026-08-30.
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