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 agents/viksant/vibe-coding-tools-content/ai-prompt-optimizergit clone --depth 1 https://github.com/viksant/vibe-coding-tools-contentWrote 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/viksant/vibe-coding-tools-content/ai-prompt-optimizer)<a href="https://agentmods.dev/agents/viksant/vibe-coding-tools-content/ai-prompt-optimizer"><img src="https://agentmods.dev/badge/agents/viksant/vibe-coding-tools-content/ai-prompt-optimizer.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 | $0.00007 | $0.02588 |
| Opus 5 | $0.00003 | $0.01294 |
| Sonnet 5 | $0.00001 | $0.00518 |
| Haiku 4.5 | $0.00001 | $0.00259 |
Grade A, and why
ai-prompt-optimizer scanned grade A with 1 finding 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 5d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl https://api.openai.com/v1/chat/completions \ The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 5d ago First seen · 257 lines · 7 tokens per session scan A 1853155fc713
ai-prompt-optimizer is an agent published in the GitHub repository viksant/vibe-coding-tools-content (44 stars, last pushed 2mo ago), with no licence file. It adds 7 tokens to every session and 2,588 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
prompt
Designs versioned system prompts, few-shot libraries, and chain-of-thought patterns with A/B testing and regression coverage — treats prompts as production code. Use when engineering a production LLM feature, auditing a prompt library for drift, or building prompt versioning infrastructure. Trigger with "design this…
prompt-engineer
Optimizes prompts for LLMs and AI systems. Use when building AI features, improving agent performance, or crafting system prompts. Expert in prompt patterns and techniques.
ai-engineer
Build LLM applications, RAG systems, and prompt pipelines. Implements vector search, agent orchestration, and AI API integrations. Use PROACTIVELY for LLM features, chatbots, or AI-powered applications.
Agent Prompt: Prompt Suggestion Generator v2
V2 instructions for generating prompt suggestions for Claude Code.
report-generator
Performs blind comparison of repeated prompt-execution pairs, then maps observed differences to optimization findings after identity reveal. Use when original and optimized prompt trials are available.
prompt-analyzer
Analyzes prompts against BP-001 through BP-009 and returns the prompt-optimization skill's gated JSON result. Use when prompt text or a prompt file is provided for optimization.