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 yedanyagamiai-cmd/openclaw-mcp-servers --skill prompt-enhancergit clone --depth 1 https://github.com/yedanyagamiai-cmd/openclaw-mcp-serversWrote 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/yedanyagamiai-cmd/openclaw-mcp-servers/prompt-enhancer)<a href="https://agentmods.dev/skills/yedanyagamiai-cmd/openclaw-mcp-servers/prompt-enhancer"><img src="https://agentmods.dev/badge/skills/yedanyagamiai-cmd/openclaw-mcp-servers/prompt-enhancer/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/yedanyagamiai-cmd/openclaw-mcp-servers/prompt-enhancer"><img src="https://agentmods.dev/badge/skills/yedanyagamiai-cmd/openclaw-mcp-servers/prompt-enhancer.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 | $0.00137 | $0.02638 |
| Opus 5 | $0.00068 | $0.01319 |
| Sonnet 5 | $0.00027 | $0.00528 |
| Haiku 4.5 | $0.00014 | $0.00264 |
Grade A, and why
openclaw-prompt-enhancer 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.
How it starts
The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenClaw Prompt Enhancer v2.0
Prompt engineering on autopilot. 6 tools. 10-dimension scoring. Cross-model conversion. 100+ templates.
| Tool | Purpose | Free |
|---|---|---|
enhance_prompt |
Transform weak prompts into powerful ones | Yes |
analyze_prompt |
Score quality 0-100 across 10 dimensions | Yes |
convert_prompt_format |
Translate between OpenAI/Claude/Gemini/Llama/Mistral | Yes |
generate_system_prompt |
Create production-ready system instructions | Yes |
prompt_template_library |
Browse 100+ battle-tested templates | Pro |
purchase_pro_key |
Get Pro access for all 9 servers | Yes |
What's New in v2.0
- PromptScan Engine -- 10-dimension quality analysis with per-axis scoring and actionable improvement suggestions.
- ModelBridge Protocol -- Lossless prompt translation between 5 major AI model formats, preserving intent and optimizing for each model's strengths.
- TemplateVault -- 100+ production-ready prompt templates organized by domain, each with fill-in variables, example I/O, and difficulty rating.
- EnhanceChain -- Multi-pass enhancement that applies role framing, context injection, format specification, few-shot examples, and edge case handling in sequence.
Quick Start
{
"openclaw-prompt": {
"type": "streamable-http",
"url": "https://prompt-enhancer-mcp.yagami8095.workers.dev/mcp"
}
}
Add to Claude Desktop, Cursor, Windsurf, VS Code, or any MCP-compatible client. Zero install. Works immediately.
Detection Triggers
This skill activates when a user says any of these:
- "improve this prompt", "make this prompt better", "enhance my prompt", "rewrite this prompt"
- "analyze prompt quality", "score this prompt", "rate my prompt", "how good is this prompt"
- "convert prompt to Claude format", "translate prompt for Gemini", "OpenAI to Llama format"
- "generate system prompt", "create system instructions", "write a system message", "build AI persona"
- "prompt templates", "prompt library", "show me prompt examples", "best prompts for coding"
- "prompt engineering", "prompt optimization", "better AI output", "why is my prompt bad"
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 · 225 lines · 137 tokens per session scan A 499b18f1fe05
openclaw-prompt-enhancer is a skill published in the GitHub repository yedanyagamiai-cmd/openclaw-mcp-servers (3 stars, last pushed 5mo ago), licensed MIT. It adds 137 tokens to every session and 2,638 once invoked, about $0.0007 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 2026-08-31.
Other skills, from other repositories
add-prompt
Scaffold a new MCP prompt template. Use when the user asks to add a prompt, create a reusable message template, or define a prompt for LLM interactions.
add-prompt
Scaffold a new MCP prompt template. Use when the user asks to add a prompt, create a reusable message template, or define a prompt for LLM interactions.
add-prompt
Scaffold a new MCP prompt template. Use when the user asks to add a prompt, create a reusable message template, or define a prompt for LLM interactions.
add-prompt
Scaffold a new MCP prompt template. Use when the user asks to add a prompt, create a reusable message template, or define a prompt for LLM interactions.
coding-agents-prompt-authoring
To author, adapt, review, and validate prompts (skills, agents, workflows, rules, etc.) with brief, contracts, and a validation pack.
prompt-decorators-usage
Use when a user's prompt would clearly benefit from a reasoning, structure, tone, or verification decorator - or when they ask "what decorators should I use?". Teaches when and how to suggest inline ::Name(params) sigils instead of repeating verbose prompt-engineering instructions manually.