Context Budget Guard

Community

ArchieIndian

context-budget-guard

Proactively monitors estimated token usage during long sessions and triggers context-window-management before overflow, not after. Use at the start of any session expected to last more than 30 minutes.

Overview

Publisher	ArchieIndian
Repository	`openclaw-superpowers`
Skill name	`context-budget-guard`
Stars	74
Forks	14
Bundled files	3
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by ArchieIndian on GitHub. Read the source before you install it.

Installation

Install the Context Budget Guard AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/ArchieIndian/openclaw-superpowers/tree/main/skills/openclaw-native/context-budget-guard
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/ArchieIndian/openclaw-superpowers/tree/main/skills/openclaw-native/context-budget-guard

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/ArchieIndian/openclaw-superpowers.git /tmp/openclaw-superpowers
mkdir -p .claude/skills
cp -r /tmp/openclaw-superpowers/skills/openclaw-native/context-budget-guard .claude/skills/context-budget-guard

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Context Budget Guard in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Context Budget Guard on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Context Budget Guard is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Context Budget Guard

State file: ~/.openclaw/skill-state/context-budget-guard/state.yaml

Don't wait for the model to go incoherent. Act at 70%, not 95%.

When to Use

At the start of any long-running session (>30 min expected)
Before each major task step in a multi-hour workflow
When long-running-task-management advances to a new stage

The Process

Step 1: Initialize (Session Start)

Write to state: session_start timestamp, compaction_count: 0, status: monitoring, threshold_pct: 70.

Step 2: Check Budget (Before Each Major Step)

Estimate current context usage as a rough percentage:

Low (<50%) — continue normally
Medium (50–70%) — note in state, proceed with caution (avoid loading large files)
High (>70%) — trigger context-window-management NOW, before continuing

To estimate: count approximate tokens from recent messages, loaded file contents, and active task context.

Step 3: After Compaction

Increment compaction_count in state
Write last_compacted_at, strategy_used (passed from context-window-management)
Reset mental estimate to ~20% (post-compaction baseline)

Step 4: Session End

Update state: status: idle, session_end timestamp.

Key Principles

The 70% threshold is the trigger — earlier is always better than later
Check budget BEFORE loading large files or running subagents, not after
If in doubt: compact. A clean context costs less than a confused one.
Works best paired with long-running-task-management — check budget at every checkpoint

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Context Budget Guard AI skill do?

Why use Context Budget Guard on TypingMind?

Because you install it once and use it with any model. Context Budget Guard is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Context Budget Guard in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ArchieIndian/openclaw-superpowers/tree/main/skills/openclaw-native/context-budget-guard. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Context Budget Guard?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Context Budget Guard?

As many as you like. As long as a model supports skills, you can use Context Budget Guard with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Context Budget Guard AI skill free?

It is published on GitHub by ArchieIndian. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Context Budget Guard

When to Use

The Process

Step 1: Initialize (Session Start)

Step 2: Check Budget (Before Each Major Step)

Step 3: After Compaction

Step 4: Session End

Key Principles

Bundled files

Frequently asked questions

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