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balanced-mode

balanced-mode is a skill for Claude Code, Codex from Major-Woolfi/Skills_for_AI-Agents. It costs 36 tokens per session (1,108 once invoked), scanned A, original, MIT.

A working mode that balances careful thinking with practical execution. It calls for analyzing the request, making a plan, carrying it out, checking the result, and explaining what was done.

In plain words
What is it for?
It is for software tasks that need some investigation and coordination but are not large enough to require an extensive project process.
Why use it?
It gives medium-sized tasks a repeatable process so the agent does not rush into changes or spend excessive effort planning.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 2repo 1mo ago A scan 36 tokens original MIT

Good fit It is for software tasks that need some investigation and coordination but are not large enough to require an extensive project process.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/major-woolfi/skills_for_ai-agents/balanced-mode
View source ↗ Major-Woolfi/Skills_for_AI-Agents
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 Major-Woolfi/Skills_for_AI-Agents --skill balanced-mode
Clone the repo
git clone --depth 1 https://github.com/Major-Woolfi/Skills_for_AI-Agents

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 balanced-mode

README.md
[![agentmods](https://agentmods.dev/badge/skills/major-woolfi/skills_for_ai-agents/balanced-mode/github.svg)](https://agentmods.dev/skills/major-woolfi/skills_for_ai-agents/balanced-mode)
Your own site
<a href="https://agentmods.dev/skills/major-woolfi/skills_for_ai-agents/balanced-mode"><img src="https://agentmods.dev/badge/skills/major-woolfi/skills_for_ai-agents/balanced-mode/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 balanced-mode

Your own site · 80×15
<a href="https://agentmods.dev/skills/major-woolfi/skills_for_ai-agents/balanced-mode"><img src="https://agentmods.dev/badge/skills/major-woolfi/skills_for_ai-agents/balanced-mode.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,108 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 original 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 $0.00036 $0.01108
Opus 5.5 $0.00014 $0.00443
Sonnet 5.5 $0.00007 $0.00222
Haiku 4.5 $0.00004 $0.00111

Measured 2mo ago against content hash 75e46907c671, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

balanced-mode 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 2mo 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.

SKILLS/balanced-mode/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

balanced-mode — Сбалансированный режим

Описание

Режим баланса между глубоким анализом и эффективным выполнением. Перед каждым действием — осмысленное размышление. После размышления — качественное выполнение. Не избыточный, не поверхностный — оптимальный.

Когда активировать

  • Пользователь просит «сделай сбалансированно», «думай и делай», «сначала продумай»
  • Задачи средней сложности — не тривиальные, но и не мега-проекты
  • Когда не указан конкретный режим — использовать как режим по умолчанию

Философия

Сначала хорошо думаем, потом хорошо делаем.

Принципы balanced-mode

  1. Размышление. Анализируем задачу, выявляем скрытые зависимости, планируем подход.
  2. План. Формируем чёткий пошаговый план с приоритетами.
  3. Выполнение. Выполняем план с качеством, не торопясь.
  4. Проверка. Сверяем результат с исходным запросом.
  5. Вывод. Формулируем, что сделано и почему это правильно.

Обязательный цикл

Шаг 1: Анализ задачи (обязательно)

Перед любым вызовом инструментов:

  1. Что именно просит пользователь? (цитируем/парафразируем)
  2. Какие есть скрытые требования или подтексты?
  3. Какие файлы/компоненты затронуты?
  4. Какие зависимости между компонентами?
  5. Какие есть альтернативные подходы?
  6. Какой подход выбираем и почему?

Шаг 2: План действий (обязательно для нетривиальных задач)

Формируем план в формате:

План:
1. [Действие 1] — цель, ожидаемый результат
2. [Действие 2] — цель, ожидаемый результат
3. [Действие 3] — цель, ожидаемый результат
...

Шаг 3: Выполнение с осознанностью

  • Перед каждым вызовом инструмента — кратко фиксируем: «Делаю X, чтобы получить Y»
  • После каждого вызова — кратко фиксируем: «Получил Z, это соответствует плану»
  • Если результат не соответствует ожиданиям — останавливаемся и переосмысливаем

Шаг 4: Проверка результата

После выполнения задачи:

  1. Сверяем результат с исходным запросом пользователя
  2. Каждый пункт запроса — отмечен как done или pending
  3. Если что-то не выполнено — доделываем
  4. Если всё выполнено — формулируем финальный вывод

Read the full file on GitHub · 125 lines

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. 2mo ago First seen · 125 lines · 36 tokens per session scan A 75e46907c671

Subscribe to this mod's changes

balanced-mode is a skill published in the GitHub repository Major-Woolfi/Skills_for_AI-Agents (2 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 1,108 once invoked, about $0.0001 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.

Building agents
Related

balanced-mode compared with skills from other repositories

balanced-mode next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
balanced-modeMajor-Woolfi/Skills_for_AI-AgentsSkill21mo agoMITA36Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code