prompt-optimizer

prompt-optimizer is a skill for Claude Code, Codex from SoftMissT/tudo-sobre-vibe-coding. It costs 179 tokens per session (4,017 once invoked), scanned A, original, no licence file.

A prompt-review skill that examines a rough request, finds missing details, matches it to available agent components, and produces a ready-to-use prompt.

In plain words
What is it for?
It is for improving prompts, planning how to ask for a task, and choosing relevant skills, commands, agents, or hooks. It advises but does not perform the task.
Why use it?
It helps turn an unclear request into instructions that an AI coding agent can follow more consistently.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It is for improving prompts, planning how to ask for a task, and choosing relevant skills, commands, agents, or hooks. It advises but does not perform the task.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/softmisst/tudo-sobre-vibe-coding/prompt-optimizer
Install

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.

Any agent
npx skills add SoftMissT/tudo-sobre-vibe-coding --skill prompt-optimizer
Clone the repo
git clone --depth 1 https://github.com/SoftMissT/tudo-sobre-vibe-coding

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for prompt-optimizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/softmisst/tudo-sobre-vibe-coding/prompt-optimizer/github.svg)](https://agentmods.dev/skills/softmisst/tudo-sobre-vibe-coding/prompt-optimizer)
Your own site
<a href="https://agentmods.dev/skills/softmisst/tudo-sobre-vibe-coding/prompt-optimizer"><img src="https://agentmods.dev/badge/skills/softmisst/tudo-sobre-vibe-coding/prompt-optimizer/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.

agentmods 80×15 button for prompt-optimizer

Your own site · 80×15
<a href="https://agentmods.dev/skills/softmisst/tudo-sobre-vibe-coding/prompt-optimizer"><img src="https://agentmods.dev/badge/skills/softmisst/tudo-sobre-vibe-coding/prompt-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 179 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,017 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00179 $0.04017
Opus 5.5 $0.00072 $0.01607
Sonnet 5.5 $0.00036 $0.00803
Haiku 4.5 $0.00018 $0.00402

Measured 1mo ago against content hash 645df8819e84, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

prompt-optimizer 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 1mo 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.

Claude Code/Claude Skills/prompt-optimizer/prompt-optimizer/SKILL.md · 398 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

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.

  1. 1mo ago First seen · 398 lines · 179 tokens per session scan A 645df8819e84

Subscribe to this mod's changes

prompt-optimizer is a skill published in the GitHub repository SoftMissT/tudo-sobre-vibe-coding (8 stars, last pushed 23d ago), with no licence file. It adds 179 tokens to every session and 4,017 once invoked, about $0.0007 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 2026-08-31.

Related

Other skills, from other repositories

prompt-master

Generates optimized prompts for AI tools. Activates only when the user explicitly asks to write, fix, improve, or adapt a prompt for a specific AI tool (LLM, Cursor, Midjourney, image AI, video AI, coding agents, etc.). Does not activate for general conversation, coding tasks, document writing, or other…

nidhinjs/prompt-master · 78 tokens

ai-workflow-architect

Designs AI systems, automations, and agent workflows for a business — identifying which manual work is worth automating, how to structure the system, which tools fit, and what could go wrong. Use this to automate part of an operation, design an agent or MCP workflow, reduce repetitive manual work, connect tools into a…

cbrock84/headcount · 89 tokens

anthropic-claude-development

Expert guidance for Anthropic Claude API development including Messages API, tool use, prompt engineering, and building production applications with Claude models.

Mindrally/skills · 33 tokens

google-adk

Best practices for building AI agents with Google's Agent Development Kit (ADK) in Python, covering agent design, tools, sessions, memory, artifacts, evaluation, and deployment. Use when building LLM agents or multi-agent systems with ADK, defining ADK tools, wiring up sessions/state/memory, working with ADK…

Mindrally/skills · 90 tokens

openai-api-development

Expert guidance for OpenAI API development including GPT models, Assistants API, function calling, embeddings, and best practices for production applications.

Mindrally/skills · 32 tokens

langchain-development

Expert guidance for LangChain and LangGraph development with Python, covering chain composition, agents, memory, and RAG implementations.

Mindrally/skills · 29 tokens